Terrence J. Sejnowski

Tzyy-Ping Jung, Terrence J. Sejnowski, Siddharth, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation

Terrence J. Sejnowski, Michael S. Lewicki, Te-Won Lee, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Predicting the fMRI signal fluctuation with echo-state neural networks trained on vascular network dynamics

Terrence J. Sejnowski, F Sobczak, Y He, 2019, bioRxiv.

Modeling and In Vitro Electrophysiology Spread Intrathalamic Oscillations: Computational Long-Range Connections Synchronize Rather Than

Terrence J. Sejnowski, Giulio Tononi, Alain Destexhe, 2015 .

Bee foraging in uncertain environments using predictive hebbian learning

Peter Dayan, Terrence J. Sejnowski, P. Read Montague, 1995, Nature.

Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling

Terrence J. Sejnowski, Romain Veltz, T. Sejnowski, 2015, Neural Computation.

ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS

Terrence J. Sejnowski, Misha Tsodyks, T. Sejnowski, 1995 .

Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models

Terrence J. Sejnowski, Paul C. Bush, T. Sejnowski, 1996, Journal of Computational Neuroscience.

Integrate-and-Fire Neurons Driven by Correlated Stochastic Input

Terrence J. Sejnowski, Emilio Salinas, T. Sejnowski, 2002, Neural Computation.

Speech Enhancement Using Gaussian Scale Mixture Models

Terrence J. Sejnowski, Jiucang Hao, Te-Won Lee, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech

Terrence J. Sejnowski, Yan Fang, Shawn R. Lockery, 1990, Neural Computation.

Simple framework for constructing functional spiking recurrent neural networks

Terrence J. Sejnowski, Yinghao Li, Robert Kim, 2019, Proceedings of the National Academy of Sciences.

A large scale Monte Carlo simulator for cellular microphysiology

Scott B. Baden, Terrence J. Sejnowski, Gregory T. Balls, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data

Terrence J. Sejnowski, Sydney S. Cash, Claudia Lainscsek, 2017, Neural Computation.

El lenguaje del cerebro

Terrence J. Sejnowski, Tobi Delbruck, 2012 .

Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures

Terrence J. Sejnowski, Anup Das, Sydney S. Cash, 2019, Neural Computation.

A Prototype for Automatic Recognition of Spontaneous Facial Actions

Gwen Littlewort, Marian Stewart Bartlett, Javier R. Movellan, 2002, NIPS.

Learning Overcomplete Representations

Terrence J. Sejnowski, Michael S. Lewicki, T. Sejnowski, 2000, Neural Computation.

Bayesian Unsupervised Learning of Higher Order Structure

Terrence J. Sejnowski, Michael S. Lewicki, T. Sejnowski, 1996, NIPS.

Volume Learning: Signaling Covariance Through Neural Tissue

Terrence J. Sejnowski, Peter Dayan, Pr Montague, 1993 .

VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function

Terrence J. Sejnowski, Chandrajit L. Bajaj, John Edwards, 2013, Neuroinformatics.

Filter Selection Model for Generating Visual Motion Signals

Terrence J. Sejnowski, Steven J. Nowlan, T. Sejnowski, 1992, NIPS.

The Progress of Science and Artificial Intelligence from Efforts in Understanding the Brain

Terrence J. Sejnowski, T. Sejnowski, 2018, Exploring Complexity.

Representation Sharpening Can Explain Perceptual Priming

Terrence J. Sejnowski, Maxim Bazhenov, Samat Moldakarimov, 2010, Neural Computation.

Self-Organizing Map Formation: Foundations of Neural Computation

Terrence J. Sejnowski, Klaus Obermayer, 2001 .

Mechanisms for Phase Shifting in Cortical Networks and their Role in Communication through Coherence

Terrence J. Sejnowski, Paul H. Tiesinga, T. Sejnowski, 2010, Front. Hum. Neurosci..

Realistic network models of distributed processing in the leech

Terrence J. Sejnowski, Shawn R. Lockery, 1993 .

Memory and Neural Networks

Terrence J. Sejnowski, T. Sejnowski, 1998 .

Assignment of Multiplicative Mixtures in Natural Images

Terrence J. Sejnowski, Peter Dayan, Odelia Schwartz, 2004, NIPS.

A Berger-Levy energy efficient neuron model with unequal synaptic weights

Toby Berger, Terrence J. Sejnowski, Jie Xing, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings

Terrence J. Sejnowski, John Doyle, Sydney S. Cash, 2017, Neural Computation.

Finding the event structure of neuronal spike trains

Paul H. E. Tiesinga, Terrence J. Sejnowski, Peter J. Thomas, 2011, Neural Computation.

On Criticality in High-Dimensional Data

Terrence J. Sejnowski, Saeed Saremi, T. Sejnowski, 2014, Neural Computation.

The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons

Boris S. Gutkin, Terrence J. Sejnowski, Klaus M. Stiefel, 2009, Journal of Computational Neuroscience.

A Mixture Model System for Medical and Machine Diagnosis

Terrence J. Sejnowski, Magnus Stensmo, T. Sejnowski, 1994, NIPS.

Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks

Marian Stewart Bartlett, Terrence J. Sejnowski, T. Sejnowski, 1996, NIPS.

A Unifying Objective Function for Topographic Mappings

Terrence J. Sejnowski, Geoffrey J. Goodhill, T. Sejnowski, 1997, Neural Computation.

Towards Automatic Recognition of Spontaneous Facial Actions

Javier R. Movellan, Terrence J. Sejnowski, Bjorn Braathen, 2003 .

Neurobiology: Making smooth moves

Terrence J. Sejnowski, 1998 .

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion

Paul A. Viola, Terrence J. Sejnowski, Stephen G. Lisberger, 1991, NIPS.

A Parallel Network that Learns to Play Backgammon

Terrence J. Sejnowski, Gerald Tesauro, G. Tesauro, 1989, Artif. Intell..

Compartmental Models of Single Cells and Small Networks in the Primary Visual Cortex

Terrence J. Sejnowski, T. Sejnowski, 1995 .

Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs

Terrence J. Sejnowski, Martin Egelhaaf, Anne-Kathrin Warzecha, 2003, Neurocomputing.

'Balancing' of Conductances May Explain Irregular Cortical Spiking

Terrence J. Sejnowski, Misha Tsodyks, Zachary F. Mainen, 1995 .

Image Representations for Facial Expression Coding

Marian Stewart Bartlett, Javier R. Movellan, Terrence J. Sejnowski, 1999, NIPS.

Face recognition by independent component analysis

Marian Stewart Bartlett, Javier R. Movellan, Terrence J. Sejnowski, 2002, IEEE Trans. Neural Networks.

Classifying Facial Actions

Marian Stewart Bartlett, Terrence J. Sejnowski, Gianluca Donato, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Finding the event structure of neuronal spike trains

Paul H. E. Tiesinga, Terrence J. Sejnowski, Peter J. Thomas, 2011, BMC Neuroscience.

Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning

Rajesh P. N. Rao, Terrence J. Sejnowski, T. Sejnowski, 2001, Neural Computation.

Empirical Entropy Manipulation for Real-World Problems

Paul A. Viola, Terrence J. Sejnowski, Nicol N. Schraudolph, 1995, NIPS.

Spike-time reliability of periodically driven integrate-and-fire neurons

Paul H. E. Tiesinga, Terrence J. Sejnowski, Jean-Marc Fellous, 2002, Neurocomputing.

Synchronized Inhibition Boosts Information Transfer in Entrained Neurons

Paul H. E. Tiesinga, Terrence J. Sejnowski, Jean-Marc Fellous, 2001 .

Synaptic Learning Rules and Sparse Coding in a Model Sensory System

Terrence J. Sejnowski, Maxim Bazhenov, Seth Haney, 2008, PLoS Comput. Biol..

Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain

Terrence J. Sejnowski, Nicol N. Schraudolph, T. Sejnowski, 1992, NIPS.

Learned classification of sonar targets using a massively parallel network

Terrence J. Sejnowski, R. Paul Gorman, R. P. Gorman, 1988, IEEE Trans. Acoust. Speech Signal Process..

Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism

Terrence J. Sejnowski, Alain Destexhe, Zachary F. Mainen, 1994, Journal of Computational Neuroscience.

Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron

Terrence J. Sejnowski, Jean-Marc Fellous, Jyoti Mishra, 2006, Neural Networks.

Blind separation and blind deconvolution: an information-theoretic approach

Terrence J. Sejnowski, Anthony J. Bell, A. J. Bell, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Prospective Optimization

Terrence J. Sejnowski, Sergei Gepshtein, Howard Poizner, 2014, Proceedings of the IEEE.

Objective Functions for Neural Map Formation

Terrence J. Sejnowski, Laurenz Wiskott, T. Sejnowski, 1997, ICANN.

Combining Temporal and Frequency based Prediction for EEG Signals

Terrence J. Sejnowski, Howard Poizner, Howard Leung, 2010, BIOSIGNALS.

The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning

Terrence J. Sejnowski, Peter Dayan, P. Dayan, 1993, Neural Computation.

Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations

Terrence J. Sejnowski, Steven A. Prescott, Jay S. Coggan, 2015, Journal of Computational Neuroscience.

Using Aperiodic Reinforcement for Directed Self-Organization During Development

Terrence J. Sejnowski, Peter Dayan, Steven J. Nowlan, 1992, NIPS.

Graphical Models: Foundations of Neural Computation

Terrence J. Sejnowski, Michael I. Jordan, T. Sejnowski, 2001, Pattern Anal. Appl..

Engineering intelligent electronic systems based on computational neuroscience [scanning the issue]

Terrence J. Sejnowski, Mark D. McDonnell, Auke Jan Ijspeert, 2014, Proc. IEEE.

Plasticity-Mediated Competitive Learning

Terrence J. Sejnowski, Nicol N. Schraudolph, 1994, NIPS.

Properties of independent components of self-motion optical flow

Terrence J. Sejnowski, Soo-Young Lee, Marwan A. Jabri, 2000, Proceedings 30th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2000).

An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research

Tzyy-Ping Jung, Terrence J. Sejnowski, Siddharth, 2017, HCI.

Neurobiology: Making smooth moves

Terrence J. Sejnowski, 1998, Nature.

Interaction Between Posterior Parietal and Motor Adaptation to Visuomotor Rotation Through

Terrence J. Sejnowski, Reza Shadmehr, John W. Krakauer, 2015 .

A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex

Terrence J. Sejnowski, Olivier J. M. D. Coenen, T. Sejnowski, 1995, NIPS.

Learning moment closure in reaction-diffusion systems with spatial dynamic Boltzmann distributions.

Terrence J. Sejnowski, Eric Mjolsness, Oliver K. Ernst, 2018, Physical review. E.

Plenary speakers: Reliable interfaces with the peripheral nervous system

Brian Litt, Silvestro Micera, Gert Cauwenberghs, 2013 .

Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics

Paul H. E. Tiesinga, Terrence J. Sejnowski, Peter J. Thomas, 2012, PLoS Comput. Biol..

Cortical and thalamic components of augmenting responses: A modeling study

Terrence J. Sejnowski, Arthur R. Houweling, Maxim Bazhenov, 1999, Neurocomputing.

Computational models of neuron-astrocyte interaction in epilepsy

Terrence J. Sejnowski, Maxim Bazhenov, Vladislav Volman, 2012, Front. Comput. Neurosci..

Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech

Terrence J. Sejnowski, Yan Fang, Shawn R. Lockery, 1989, NIPS.

Selective Integration: A Model for Disparity Estimation

Terrence J. Sejnowski, Alexandre Pouget, Richard S. Zemel, 1996, NIPS.

Spike propagation synchronized by temporally asymmetric Hebbian learning

Terrence J. Sejnowski, Roland E. Suri, T. Sejnowski, 2002, Biological Cybernetics.

TD(λ) Converges with Probability 1

Terrence J. Sejnowski, Peter Dayan, P. Dayan, 1994, Machine Learning.

A Bayesian Framework for Tilt Perception and Confidence

Terrence J. Sejnowski, Peter Dayan, Odelia Schwartz, 2005, NIPS.

Parallel Networks that Learn to Pronounce English Text

Terrence J. Sejnowski, Charles R. Rosenberg, T. Sejnowski, 1987, Complex Syst..

Learning Decision Theoretic Utilities through Reinforcement Learning

Terrence J. Sejnowski, Magnus Stensmo, T. Sejnowski, 1996, NIPS.

Hierarchical Transformation of Space in the Visual System

Terrence J. Sejnowski, Alexandre Pouget, Stephen A. Fisher, 1991, NIPS.

Variational Bayesian Learning of ICA with Missing Data

Terrence J. Sejnowski, Te-Won Lee, Kwokleung Chan, 2003, Neural Computation.

Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces

Scott B. Baden, Terrence J. Sejnowski, Boris Kaminsky, 2008, SIAM J. Sci. Comput..

Predictive Sequence Learning in Recurrent Neocortical Circuits

Rajesh P. N. Rao, Terrence J. Sejnowski, T. Sejnowski, 1999, NIPS.

A New Correlation-Based Measure of Spike Timing Reliability

Paul H. E. Tiesinga, Terrence J. Sejnowski, Jean-Marc Fellous, 2002, Neurocomputing.

Automatic Analysis of Spontaneous Facial Behavior: A Final Project Report

Marian Stewart Bartlett, Javier R. Movellan, Terrence J. Sejnowski, 2001 .

Processing of Visual and Auditory Space and Its Modification by Experience

Terrence J. Sejnowski, Josef P. Rauschecker, J. Rauschecker, 1993, NIPS.

Automatic Sleep Scoring from a Single Electrode Using Delay Differential Equations

Terrence J. Sejnowski, Christophe Letellier, Jean-François Muir, 2014 .

An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines

Terrence J. Sejnowski, Thomas M. Bartol, Kevin M. Franks, 2001, Neurocomputing.

A Non-linear Information Maximisation Algorithm that Performs Blind Separation

Terrence J. Sejnowski, Anthony J. Bell, A. J. Bell, 1994, NIPS.

Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes

Terrence J. Sejnowski, Te-Won Lee, Thomas Wachtler, 2000, NIPS.

Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data

Terrence J. Sejnowski, Aaron L. Sampson, Claudia Lainscsek, 2017, Neural Computation.

Neural systems integration

Terrence J. Sejnowski, Dan Hammerstrom, Michael P. Arnold, 2004, Neurocomputing.

Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation

Terrence J. Sejnowski, Jiucang Hao, Te-Won Lee, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Place Cell Rate Remapping by CA3 Recurrent Collaterals

Terrence J. Sejnowski, Trygve Solstad, Hosam N. Yousif, 2014, PLoS Comput. Biol..

Dynamic Features for Visual Speechreading: A Systematic Comparison

Javier R. Movellan, Terrence J. Sejnowski, Michael S. Gray, 1996, NIPS.

Interactive reportWhy do we sleep?1

Terrence J. Sejnowski, Alain Destexhe, 2000 .

Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem

Andreas Ziehe, Terrence J. Sejnowski, Reinhold Orglmeister, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance

Terrence J. Sejnowski, William W. Lytton, Rita Venturini, 1991, NIPS.

Intracellular Dynamics of Virtual Place Cells

Terrence J. Sejnowski, Sandro Romani, Misha Tsodyks, 2011, Neural Computation.

Building network learning algorithms from Hebbian synapses

Terrence J. Sejnowski, Gerald Tesauro, G. Tesauro, 1990 .

Reliability and bifurcation in neurons driven by multiple sinusoids

Paul H. E. Tiesinga, Terrence J. Sejnowski, Peter J. Thomas, 2003, Neurocomputing.

Neuronal Tuning: To Sharpen or Broaden?

Terrence J. Sejnowski, Kechen Zhang, T. Sejnowski, 1999, Neural Computation.

Temporal Difference Learning of Position Evaluation in the Game of Go

Terrence J. Sejnowski, Peter Dayan, Nicol N. Schraudolph, 1993, NIPS.

Heterogeneity of Preictal Dynamics in Human Epileptic Seizures

Terrence J. Sejnowski, Anup Das, Sydney S. Cash, 2020, IEEE Access.

Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input

Terrence J. Sejnowski, Akaysha C. Tang, Andreas M. Bartels, 1996, NIPS.

The Virtual Instrument: Support for Grid-Enabled Mcell Simulations

Francine Berman, Henri Casanova, Terrence J. Sejnowski, 2004, Int. J. High Perform. Comput. Appl..

Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2003, Neural Networks.

Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes

Terrence J. Sejnowski, Te-Won Lee, Toshio Inui, 2003, Neural Computation.

Optimal information transfer in synchronized neocortical neurons

Jorge V. José, Paul H. E. Tiesinga, Terrence J. Sejnowski, 2001, Neurocomputing.

Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning

Terrence J. Sejnowski, Maxim Bazhenov, Samat Moldakarimov, 2014, PLoS Comput. Biol..

The BRAIN Initiative: developing technology to catalyse neuroscience discovery

Emery N. Brown, Terrence J. Sejnowski, Eve Marder, 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

other can lead to complete transfer of motor learning across the arms Performing a reaching task with one arm while adapting to a visuomotor rotation with the

Richard B. Ivry, Terrence J. Sejnowski, Jeffrey R. Binder, 2015 .

Optimizing Cortical Mappings

Terrence J. Sejnowski, Geoffrey J. Goodhill, Steven Finch, 1995, NIPS.

Learning to Solve Random-Dot Stereograms of Dense and Transparent Surfaces with Recurrent Backpropagation

Terrence J. Sejnowski, Ning Qian, T. Sejnowski, 1989 .

Machine Learning Classifiers Can Detect Subtle Field Defects in Eyes of HIV Subjects

Terrence J. Sejnowski, Jiucang Hao, T.–W. Lee, 2007 .

Adaptive separation of mixed broadband sound sources with delays by a beamforming Herault-Jutten network

Terrence J. Sejnowski, Shaolin Li, T. Sejnowski, 1995 .

Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence

Tzyy-Ping Jung, Terrence J. Sejnowski, Scott Makeig, 1995, NIPS.

Handling Missing Data with Variational Bayesian Learning of ICA

Terrence J. Sejnowski, Te-Won Lee, Kwokleung Chan, 2002, NIPS.

RAPID STATE SWITCHING IN BALANCED CORTICAL NETWORK MODELS

Terrence J. Sejnowski, Misha Tsodyks, T. Sejnowski, 1995 .

A distributed common reference frame for egocentric space in the posterior parietal cortex

Terrence J. Sejnowski, Alexandra Pouget, T. Sejnowski, 1992 .

The Spectral Independent Components of Natural Scenes

Terrence J. Sejnowski, Te-Won Lee, Thomas Wachtler, 2000, Biologically Motivated Computer Vision.

Probability of Glaucoma Determined from Standard Automated Perimetry and from Optic Disk Topography using Relevance Vector Machine Classifiers

Terrence J. Sejnowski, Christopher Bowd, Jiucang Hao, 2004 .

Correlation Coding in Stochastic Neural Networks

Terrence J. Sejnowski, Raphael Ritz, T. Sejnowski, 1997, ICANN.

Delay Differential Analysis of Time Series

Terrence J. Sejnowski, Claudia Lainscsek, T. Sejnowski, 2015, Neural Computation.

Open questions about computation in cerebral cortex

Terrence J. Sejnowski, T. Sejnowski, 1986 .

Synaptic currents, neuromodulation, and kinetic models

Terrence J. Sejnowski, Alain Destexhe, Zachary F. Mainen, 1998 .

Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex

Terrence J. Sejnowski, Richard S. Zemel, R. Zemel, 1994, NIPS.

Are we merely the sum of our neurons

Terrence J. Sejnowski, T. Sejnowski, 2012 .

Faster Learning for Dynamic Recurrent Backpropagation

Terrence J. Sejnowski, Yan Fang, 1990, Neural Computation.

Analyzing and Visualizing Single-Trial Event-Related Potentials

Tzyy-Ping Jung, Terrence J. Sejnowski, Scott Makeig, 1998, NIPS.

Biophysical neural spiking and bursting dynamics in reconfigurable analog VLSI

Gert Cauwenberghs, Terrence J. Sejnowski, Theodore Yu, 2010, 2010 Biomedical Circuits and Systems Conference (BioCAS).

Terrence J. Sejnowski, Saeed Saremi, T. Sejnowski, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Independent component representations for face recognition

Marian Stewart Bartlett, Terrence J. Sejnowski, Martin Lades, 1998, Electronic Imaging.

Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera)

Terrence J. Sejnowski, Martina Wicklein, 2001, Neurocomputing.

Foraging in an Uncertain Environment Using Predictive Hebbian Learning

Terrence J. Sejnowski, Peter Dayan, P. Read Montague, 1993, NIPS.

Parallel Fiber Coding in the Cerebellum for Life-Long Learning

Terrence J. Sejnowski, Marwan A. Jabri, Olivier J. M. D. Coenen, 2001, Auton. Robots.

The effect of neural adaptation on population coding accuracy

Terrence J. Sejnowski, Mark C. W. van Rossum, Peggy Seriès, 2011, Journal of Computational Neuroscience.

Multi-state Modeling of Biomolecules

Terrence J. Sejnowski, Melanie I. Stefan, Thomas M. Bartol, 2014, PLoS Comput. Biol..

Classifying Facial Action

Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, 1995, NIPS.

Neural networks beyond Freud

Terrence J. Sejnowski, 1999, Nature.

Optimal Smoothing in Visual Motion Perception

Rajesh P. N. Rao, Terrence J. Sejnowski, David M. Eagleman, 2001, Neural Computation.

Dynamic remapping

Terrence J. Sejnowski, Alexandre Pouget, T. Sejnowski, 1998 .

A Perceptron Reveals the Face of Sex

Terrence J. Sejnowski, Michael S. Gray, Beatrice A. Golomb, 1995, Neural Computation.

SIMULATION-DRIVEN DYNAMIC CLAMPING OF NEURONS

Scott B. Baden, Terrence J. Sejnowski, Gregory T. Balls, 2004 .

Use of Fast-Responding Voltage-Sensitive Dyes for Large-Scale Recording of Neuronal Spiking Activity with Single-Cell Resolution

Terrence J. Sejnowski, Christopher Brandon, Caroline Moore-Kochlacs, 2010 .

Cortical travelling waves: mechanisms and computational principles

Terrence J. Sejnowski, Frédéric Chavane, Lyle Muller, 2018, Nature Reviews Neuroscience.

Factorial Coding of Color in Primary Visual Cortex

Javier R. Movellan, Terrence J. Sejnowski, Thomas Wachtler, 2002, NIPS.

Independent Component Analysis of Simulated EEG Using a Three-Shell Spherical Head Model.

Terrence J. Sejnowski, Scott Makeig, Tzyy-Ping Jung, 1996 .

Independent Component Analysis of Electroencephalographic Data

Tzyy-Ping Jung, Terrence J. Sejnowski, Scott Makeig, 1995, NIPS.

The Computational Brain

Terrence J. Sejnowski, George N. Reeke, Patricia S. Churchland, 1996, Artif. Intell..

Gradient Descent for Spiking Neural Networks

Terrence J. Sejnowski, Dongsung Huh, T. Sejnowski, 2017, NeurIPS.

A Comparison of Image Processing Techniques for Visual Speech Recognition Applications

Javier R. Movellan, Terrence J. Sejnowski, Michael S. Gray, 2000, NIPS.

Analysis of Glaucomatous Visual Field Patterns Found with Unsupervised Learning Using Indpendent Component Analysis and Principal Component Analysis

Terrence J. Sejnowski, T.–W. Lee, Pamela A. Sample, 2002 .

Learning to evaluate Go positions via temporal difference methods

Terrence J. Sejnowski, Peter Dayan, Nicol N. Schraudolph, 2001 .

Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks

Paul H. E. Tiesinga, Terrence J. Sejnowski, T. Sejnowski, 2004, Neural Computation.

Is perception isomorphic with neural activity?

Terrence J. Sejnowski, Alexandre Pouget, T. Sejnowski, 1994, Behavioral and Brain Sciences.

Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility

Terrence J. Sejnowski, Robert E. Jenkins, Ben P. Yuhas, 1989, NIPS.

Dendritic trafficking faces physiologically critical speed-precision tradeoffs

Cian O'Donnell, Terrence J. Sejnowski, Alex H. Williams, 2016 .

Extended ICA Removes Artifacts from Electroencephalographic Recordings

Tzyy-Ping Jung, Terrence J. Sejnowski, Martin J. McKeown, 1997, NIPS.

Relation Between Retinotopical and Orientation Maps in Visual Cortex

Terrence J. Sejnowski, Misha Tsodyks, Klaus Pawelzik, 1999, Neural Computation.

Parallel visual computation

Geoffrey E. Hinton, Terrence J. Sejnowski, Dana H. Ballard, 1983, Nature.

Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation

Terrence J. Sejnowski, Yves De Koninck, Steven A. Prescott, 2008, PLoS Comput. Biol..

The Computer and the Brain Revisited

Terrence J. Sejnowski, T. Sejnowski, 1989, Annals of the History of Computing.

Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2004, ICA.

Author response: Dendritic trafficking faces physiologically critical speed-precision tradeoffs

Cian O'Donnell, Terrence J. Sejnowski, Alex H. Williams, 2016 .

Filter selection model for motion segmentation and velocity integration

Terrence J. Sejnowski, Steven J. Nowlan, T. Sejnowski, 1994 .

Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms

Terrence J. Sejnowski, Bernhard Englitz, Klaus M. Stiefel, 2008, Neural Computation.

Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior

Terrence J. Sejnowski, Jiucang Hao, Te-Won Lee, 2010, Neural Computation.

Modelling Vesicular Release at Hippocampal Synapses

Terrence J. Sejnowski, Suhita Nadkarni, Thomas M. Bartol, 2010, PLoS Comput. Biol..

Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics

Terrence J. Sejnowski, Nikolai F. Rulkov, Maxim Bazhenov, 2018, Journal of Neuroscience Methods.

A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm

Terrence J. Sejnowski, David A. Peterson, T. Sejnowski, 2017, Front. Comput. Neurosci..

From the Retina to the Neocortex

Terrence J. Sejnowski, Bruce L. McNaughton, David Willshaw, 1991 .

Spike count distributions, factorizability, and contextual effects in area V1

Javier R. Movellan, Terrence J. Sejnowski, Odelia Schwartz, 2004, Neurocomputing.

An Information-Maximization Approach to Blind Separation and Blind Deconvolution

Terrence J. Sejnowski, Anthony J. Bell, A. J. Bell, 1995, Neural Computation.

SEXNET: A Neural Network Identifies Sex From Human Faces

Terrence J. Sejnowski, Beatrice A. Golomb, David T. Lawrence, 1990, NIPS.

A Model of Spatial Representations in Parietal Cortex Explains Hemineglect

Terrence J. Sejnowski, Alexandre Pouget, T. Sejnowski, 1995, NIPS.

Synchronization as a mechanism for attentional gain modulation

Jorge V. José, Paul H. E. Tiesinga, Terrence J. Sejnowski, 2004, Neurocomputing.

Generalization and Multirate Models of Motor Adaptation

Terrence J. Sejnowski, Hirokazu Tanaka, John W. Krakauer, 2012, Neural Computation.

Independent Component Analysis of Simulated ERP Data

Terrence J. Sejnowski, Scott Makeig, Tzyy-Ping Jung, 2000 .

COMPLEX SPECTRAL-DOMAIN INDEPENDENT COMPONENT ANALYSIS OF ELECTROENCEPHALOGRAPHIC DATA

Terrence J. Sejnowski, Scott Makeig, T. Sejnowski, 2003 .

Delay Differential Analysis of Electroencephalographic Data

Terrence J. Sejnowski, Howard Poizner, Claudia Lainscsek, 2015, Neural Computation.

Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization

Terrence J. Sejnowski, Laurenz Wiskott, 1998, Neural Computation.

Seeing White: Qualia in the Context of Decoding Population Codes

Terrence J. Sejnowski, Sidney R. Lehky, T. Sejnowski, 1999, Neural Computation.

The Wilson Machine for Image Modeling pdf

Terrence J. Sejnowski, Saeed Saremi, 2015, ArXiv.

Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma

Terrence J. Sejnowski, Maxim Bazhenov, Vladislav Volman, 2013, PLoS Comput. Biol..

Shortened Perimetry for Glaucoma With Top 10 Locations Derived by Feature Selection With Machine Learning Classifiers

Terrence J. Sejnowski, Pamela A. Sample, Robert N. Weinreb, 2003 .

Network model of shape-from-shading: neural function arises from both receptive and projective fields

Terrence J. Sejnowski, Sidney R. Lehky, T. Sejnowski, 1988, Nature.

Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis

Terrence J. Sejnowski, Arnaud Delorme, Scott Makeig, 2007, NeuroImage.

Analysis of hidden units in a layered network trained to classify sonar targets

Terrence J. Sejnowski, R. Paul Gorman, R. P. Gorman, 1988, Neural Networks.

Slow Feature Analysis: Unsupervised Learning of Invariances

Terrence J. Sejnowski, Laurenz Wiskott, T. Sejnowski, 2002, Neural Computation.

Computation in the age of neuroscience

Terrence J. Sejnowski, Patricia Smith Churchland, 1993 .

Tempering Backpropagation Networks: Not All Weights are Created Equal

Terrence J. Sejnowski, Nicol N. Schraudolph, T. Sejnowski, 1995, NIPS.

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties

Terrence J. Sejnowski, Sydney S. Cash, Maxim Bazhenov, 2017, bioRxiv.

Correlational-Based Development of Disparity Sensitivity

Terrence J. Sejnowski, Peter Dayan, Gregory S. Berns, 1993 .

A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications

Tzyy-Ping Jung, Terrence J. Sejnowski, Aashish N. Patel, 2019, IEEE Transactions on Biomedical Engineering.

The Hebb Rule for Synaptic Plasticity: Algorithms and Implementations

Terrence J. Sejnowski, Gerald Tesauro, G. Tesauro, 1989 .

Unsupervised Classification with Non-Gaussian Mixture Models Using ICA

Terrence J. Sejnowski, Michael S. Lewicki, Te-Won Lee, 1998, NIPS.

Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling

Terrence J. Sejnowski, Sydney S. Cash, Maxim Bazhenov, 2014, PLoS Comput. Biol..

Glider soaring via reinforcement learning in the field

Terrence J. Sejnowski, Antonio Celani, Massimo Vergassola, 2018, Nature.

Proceedings of the 1988 Connectionist Models Summer School

Geoffrey E. Hinton, Terrence J. Sejnowski, Geoffrey E. Hinton, 1989 .

Predictive Hebbian learning

Terrence J. Sejnowski, Peter Dayan, P. Read Montague, 1995, COLT '95.

Regulating Cortical Oscillations in an Inhibition-Stabilized Network

Terrence J. Sejnowski, Monika P. Jadi, T. Sejnowski, 2014, Proceedings of the IEEE.

Exploration Bonuses and Dual Control

Terrence J. Sejnowski, Peter Dayan, P. Dayan, 1996, Machine Learning.

Unsupervised learning : foundations of neural computation

Geoffrey E. Hinton, Terrence J. Sejnowski, T. Sejnowski, 1999 .

Learning Nonlinear Overcomplete Representations for Efficient Coding

Terrence J. Sejnowski, Michael S. Lewicki, T. Sejnowski, 1997, NIPS.

Choice modulates the neural dynamics of prediction error processing during rewarded learning

Terrence J. Sejnowski, Howard Poizner, Eric Halgren, 2011, NeuroImage.

Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources

Terrence J. Sejnowski, Te-Won Lee, Mark A. Girolami, 1999, Neural Computation.

The Wilson–Cowan model, 36 years later

Terrence J. Sejnowski, Alain Destexhe, T. Sejnowski, 2009, Biological Cybernetics.

A computational model for the modulation of the prepulse inhibition of the acoustic startle reflex

Terrence J. Sejnowski, David Fernando Ramirez-Moreno, T. Sejnowski, 2012, Biological Cybernetics.

Language Learning in Massively-Parallel Networks

Terrence J. Sejnowski, 1986, ACL.

Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus

Terrence J. Sejnowski, Patric K. Stanton, T. Sejnowski, 1988, NIPS.

Muscle artifacts in single trial EEG data distinguish patients with Parkinson's disease from healthy individuals

Terrence J. Sejnowski, Howard Poizner, Claudia Lainscsek, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Delay differential analysis for dynamical sleep spindle detection

Terrence J. Sejnowski, Christopher E. Gonzalez, István Ulbert, 2019, Journal of Neuroscience Methods.

Figure 1, Effect of feedback inhibition in spike synchronization

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2012 .

Blind source separation of more sources than mixtures using overcomplete representations

Terrence J. Sejnowski, Michael S. Lewicki, Te-Won Lee, 1999, IEEE Signal Processing Letters.

Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains

Paul H. E. Tiesinga, Terrence J. Sejnowski, Jean-Marc Fellous, 2002, Neural Computation.

Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2004, ICA.

Scaling a slow-wave sleep cortical network model using NEOSIM

Terrence J. Sejnowski, Nigel H. Goddard, Fredrick W. Howell, 2002, Neurocomputing.

What we learned from creating one of the world’s most popular MOOCs

Terrence J. Sejnowski, Barbara A. Oakley, T. Sejnowski, 2019, npj Science of Learning.

Learning and relearning in Boltzmann machines

Geoffrey E. Hinton, Terrence J. Sejnowski, T. Sejnowski, 1986 .

Models of frequency preferences of prefrontal cortical neurons

Terrence J. Sejnowski, Arthur R. Houweling, Jean-Marc Fellous, 2001, Neurocomputing.

From single-trial EEG to brain area dynamics

Terrence J. Sejnowski, Michèle Fabre-Thorpe, Scott Makeig, 2002, Neurocomputing.

An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding

Terrence J. Sejnowski, Alain Destexhe, Zachary F. Mainen, 1994, Neural Computation.

A dynamical neural network model of sensorimotor transformations in the leech

Terrence J. Sejnowski, Yan Fang, Shawn R. Lockery, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Edges are the Independent Components of Natural Scenes

Terrence J. Sejnowski, Anthony J. Bell, A. J. Bell, 1996, NIPS.

Spiking Recurrent Networks as a Model to Probe Neuronal Timescales Specific to Working Memory

Terrence J. Sejnowski, Robert Kim, 2019 .

2 The Rebirth of Artificial Intelligence

Terrence J. Sejnowski, 2018 .

Figure 5, Variability in neuron – field synchronization during fast runs

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2012 .

Toward Petascale Simulation of Cellular Microphysiology

Scott B. Baden, Terrence J. Sejnowski, Joel R. Stiles, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Time for a new neural code?

Terrence J. Sejnowski, T. Sejnowski, 1995, Nature.

A multi-state model of the CaMKII dodecamer suggests a role for calmodulin in maintenance of autophosphorylation

Terrence J. Sejnowski, Melanie I. Stefan, Thomas M. Bartol, 2019, bioRxiv.

Spatial Representations in the Parietal Cortex May Use Basis Functions

Terrence J. Sejnowski, Alexandre Pouget, T. Sejnowski, 1994, NIPS.

Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI

Gert Cauwenberghs, Terrence J. Sejnowski, Theodore Yu, 2011, IEEE Transactions on Biomedical Circuits and Systems.

Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks

Terrence J. Sejnowski, Robert Kim, T. Sejnowski, 2020, bioRxiv.

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings

Terrence J. Sejnowski, Maxim Bazhenov, Anup Das, 2017, Neural Computation.

Spatially Realistic Computational Physiology: Past, Present and Future

Terrence J. Sejnowski, Mark H. Ellisman, Joel R. Stiles, 2003, PARCO.

Grouping individual independent BOLD effects: a new way to ICA group analysis

Terrence J. Sejnowski, Scott Makeig, Tzyy-Ping Jung, 2009, Defense + Commercial Sensing.

Comparison of machine learning and traditional classifiers in glaucoma diagnosis

Terrence J. Sejnowski, Pamela A. Sample, Robert N. Weinreb, 2002, IEEE Transactions on Biomedical Engineering.

Perceived luminance depends on temporal context

Terrence J. Sejnowski, David M. Eagleman, John E. Jacobson, 2004, Nature.

Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models

Terrence J. Sejnowski, Robert Kim, Yinghao Li, 2020, bioRxiv.

Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2006, Neurocomputing.

Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech

Terrence J. Sejnowski, Yan Fang, Shawn R. Lockery, 1989, NIPS 1989.

Shunting Inhibition Controls the Gain Modulation Mediated by Asynchronous Neurotransmitter Release in Early Development

Terrence J. Sejnowski, Vladislav Volman, Herbert Levine, 2010, PLoS Comput. Biol..

Technology and Stability

Terrence J. Sejnowski, W. Brian Arthur, Martin J. Rees, 2018, Exploring Complexity.

Synchronization as a mechanism for attentional modulation

Paul H. E. Tiesinga, Terrence J. Sejnowski, Jean-Marc Fellous, 2002 .

Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex

Terrence J. Sejnowski, Stephen G. Lisberger, Olivier J. M. D. Coenen, 1992, NIPS.

Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches

Terrence J. Sejnowski, Saeed Saremi, Tatyana O. Sharpee, 2013, Neural Computation.

A 'Neural' Network that Learns to Play Backgammon

Terrence J. Sejnowski, Gerald Tesauro, G. Tesauro, 1987, NIPS.

Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines

Geoffrey E. Hinton, Terrence J. Sejnowski, Scott E. Fahlman, 1983, AAAI.

Competitive Anti-Hebbian Learning of Invariants

Terrence J. Sejnowski, Nicol N. Schraudolph, T. Sejnowski, 1991, NIPS.

Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics

Terrence J. Sejnowski, Paul C. Bush, T. Sejnowski, 1991, Neural Computation.

Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory pdf

Terrence J. Sejnowski, Anish A. Sarma, Narayanan Kasthuri, 2021, ArXiv.

A simple geometry unites synchrony, chimeras, and waves in nonlinear oscillator networks

Terrence J. Sejnowski, Lyle E. Muller, Jan Minac, 2021 .

Horace Barlow: a vision scientist for the ages

Terrence J. Sejnowski, T. Sejnowski, 2021, Biol. Cybern..

Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models

Terrence J. Sejnowski, Robert Kim, Yinghao Li, 2021, Neural Computation.

Replay in Deep Learning: Current Approaches and Missing Biological Elements

Hava T. Siegelmann, Terrence J. Sejnowski, Maxim Bazhenov, 2021, Neural Computation.

From visual attention through to motor control

Terrence J. Sejnowski, Eduardo Ros, Marwan A. Jabri, 2003 .

Neuronal Synchronization and Thalamocortical Rhythms in Sleep, Wake and Epilepsy

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2012 .

Brains, Genes, and Primates

David A. Leopold, Dario L. Ringach, Terrence J. Sejnowski, 2015, Neuron.

What is consolidated during sleep-dependent motor skill learning?

Terrence J. Sejnowski, Luca A. Finelli, 2005 .

Abnormal Gamma Oscillations in N-Methyl-D-Aspartate Receptor Hypofunction Models of Schizophrenia

Terrence J. Sejnowski, Monika P. Jadi, T. Sejnowski, 2016, Biological Psychiatry.

G-Protein Activation Kinetics And Spill-Over Of Gaba May Account For Differences Between Inhibitory

Terrence J. Sejnowski, Alain Destexhe, Tc Thalamocortical, 1995 .

Sleep and Sleep States: Thalamic Regulation

Terrence J. Sejnowski, Alain Destexhe, T. Sejnowski, 2009 .

Brain-state dependent astrocytic Ca2+ signals are coupled to both positive and negative BOLD-fMRI signals

Terrence J. Sejnowski, Xin Yu, Yi He, 2018, Proceedings of the National Academy of Sciences.

Having your voxels and timing them too

Tzyy-Ping Jung, Terrence J. Sejnowski, Scott Makeig, 2003 .

Simplifying network models of binocular rivalry and shape-from-shading

Terrence J. Sejnowski, Terrence J. Sejnowski, Sidney R. Lehky, 1989 .

Astrocytes contribute to gamma oscillations and recognition memory

Terrence J. Sejnowski, Xin Wang, Inder M. Verma, 2014, Proceedings of the National Academy of Sciences.

Sex Recognition from Faces Using Neural Networks

Terrence J. Sejnowski, Beatrice A. Golomb, T. Sejnowski, 1995 .

Convex/Schur-Convex (CSC) Log-Priors

Bhaskar D. Rao, Terrence J. Sejnowski, Kjersti Engan, 1999 .

Spatially Fixed Patterns Account for the Spike and Wave Features in Absence Seizures

Terrence J. Sejnowski, Martin J. McKeown, Colin Humphries, 2004, Brain Topography.

The Once and Future Hebb Synapse

Terrence J. Sejnowski, T. Sejnowski, 2003 .

Dendritic Spine Geometry and Ultrastructure Dictate the Spatiotemporal Dynamics of Second Messengers

Terrence J. Sejnowski, Ravi Iyengar, Thomas M. Bartol, 2019, Biophysical Journal.

The Deep Learning Revolution

Terrence J. Sejnowski, T. Sejnowski, 2018 .

Selective Memory Generalization by Spatial Patterning of Protein Synthesis

Terrence J. Sejnowski, T. Sejnowski, Cian O’Donnell, 2014, Neuron.

Nonlinear dynamics underlying sensory processing dysfunction in schizophrenia

Terrence J. Sejnowski, Michael L. Thomas, Aaron L. Sampson, 2019, Proceedings of the National Academy of Sciences.

Blending computational and experimental neuroscience

Terrence J. Sejnowski, Patricia S. Churchland, T. Sejnowski, 2016, Nature Reviews Neuroscience.

Foreword Neural Pulse Coding

Terrence J. Sejnowski, T. Sejnowski, 1999 .

Contribution of intrinsic and synaptic factors in the desynchronization of thalamic oscillatory activity

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2001 .

Data for "The Ventral Stratium dissociates information expectation, reward anticipation, and reward receipt."

Garrison W. Cottrell, Terrence J. Sejnowski, Jonathan D. Nelson, 2020 .

Synapses get smarter

Terrence J. Sejnowski, T. Sejnowski, 1996, Nature.

Fast near-whole brain imaging in adult Drosophila during responses to stimuli and behavior

Terrence J. Sejnowski, Michael Broxton, Karl Deisseroth, 2017 .

Consequences of Non-Uniform Active Currents in Dendrites

Terrence J. Sejnowski, 2009, Front. Neurosci..

Prolonged Ketamine Effects in Sp4 Hypomorphic Mice: Mimicking Phenotypes of Schizophrenia

Terrence J. Sejnowski, Xin Wang, Xianjin Zhou, 2013, PloS one.

Toward a Semi-Self-Paced EEG Brain Computer Interface: Decoding Initiation State from Non-Initiation State in Dedicated Time Slots

Terrence J. Sejnowski, Lingling Yang, Howard Poizner, 2014, PloS one.

17 – Homeostatic Plasticity and post-Traumatic Epileptogenesis

Terrence J. Sejnowski, Arthur R. Houweling, Maxim Bazhenov, 2008 .

Model of Cellular and Network Mechanisms for Odor-Evoked Temporal Patterning in the Locust Antennal Lobe

Terrence J. Sejnowski, Gilles Laurent, Maxim Bazhenov, 2001, Neuron.

Quantitative Biology: Theory, Computational Methods, and Models

Terrence J. Sejnowski, Alan S. Perelson, Marco S. Nobile, 2018 .

Modeling Chemotaxis in the Nematode C. elegans

Terrence J. Sejnowski, Steven J. Nowlan, Shawn R. Lockery, 1993 .

Extracellular Potassium Dynamics and Epileptogenesis

Terrence J. Sejnowski, Maxim Bazhenov, Flavio Fröhlich, 2008 .

Independent Component Analysis for Mixed Sub- Gaussian and Super- Gaussian Sources

Terrence J. Sejnowski, Te-Won Lee, T. Sejnowski, 1999 .

Mapping the auditory central nervous system ofXenopus laevis with 2-deoxyglucose autoradiography

Terrence J. Sejnowski, Darcy B. Kelley, T. Sejnowski, 1982, Brain Research.

Separating figure from ground with a Boltzmann machine

Terrence J. Sejnowski, Geoffrey E. Hinton, Terrence J. Sejnowski, 1990 .

Narrowband and Wideband Off-Grid Direction-of-Arrival Estimation via Sparse Bayesian Learning

Terrence J. Sejnowski, Anup Das, T. Sejnowski, 2018, IEEE Journal of Oceanic Engineering.

Cooperative behavior of a chain of synaptically coupled chaotic neurons

Terrence J. Sejnowski, Ramón Huerta, Maxim Bazhenov, 1998 .

Simulations of Synaptic Integration in Neocortical Pyramidal Cells

Terrence J. Sejnowski, Paul C. Bush, T. Sejnowski, 1993 .

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain

Terrence J. Sejnowski, Sean R. Eddy, Fred P. Davis, 2015, Neuron.

Heterogeneities in Axonal Structure and Transporter Distribution Lower Dopamine Reuptake Efficiency

Terrence J. Sejnowski, Ivet Bahar, James R. Faeder, 2018, eNeuro.

Inhibitory synchrony as a mechanism for attentional gain modulation

Jorge V. José, Terrence J. Sejnowski, Emilio Salinas, 2004, Journal of Physiology-Paris.

Fitts' Law for speed-accuracy trade-off describes a diversity-enabled sweet spot in sensorimotor control.

Terrence J. Sejnowski, Quanying Liu, John C. Doyle, 2019 .

Well-connected Brains

Terrence J. Sejnowski, 2012 .

Modeling active dendritic processes in pyramidal neurons

Terrence J. Sejnowski, Zachary F. Mainen, T. Sejnowski, 1998 .

Motion signals bias localization judgments : A unified 2 explanation for the flash-lag , flash-drag , flash-jump

Terrence J. Sejnowski, David M. Eagleman, T. Sejnowski, 2007 .

Author ' s personal copy Linking brain , mind and behavior

Tzyy-Ping Jung, Terrence J. Sejnowski, Howard Poizner, 2009 .

Independent Component Analysis of Electroencephalographic and Event-Related Potential Data

Tzyy-Ping Jung, Terrence J. Sejnowski, Scott Makeig, 1998 .

Egocentric Spatial Representation in Early Vision

Terrence J. Sejnowski, T. Sejnowski, S. A. Fisher, 1993 .

Time-coded neurotransmitter release at excitatory and inhibitory synapses

Terrence J. Sejnowski, Serafim Rodrigues, Jesus M. Cortes, 2016, Proceedings of the National Academy of Sciences.

Interstitial solute transport in 3D reconstructed neuropil occurs by diffusion rather than bulk flow

Anders M. Dale, Anna Devor, Terrence J. Sejnowski, 2017, Proceedings of the National Academy of Sciences.

Kinetic models for synaptic interactions

Terrence J. Sejnowski, Alain Destexhe, Zachary F. Mainen, 2002 .