Richard Granger

发表

Novel Brain-Derived Algorithms Scale Linearly with Number of Processing Elements

Nikil D. Dutt, Alexander V. Veidenbaum, Alexandru Nicolau, 2007, PARCO.

Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI

Richard Granger, Petr Janata, Yune-Sang Lee, 2011, NeuroImage.

The evolution of computation in brain circuitry

Richard Granger, R. Granger, 2006, Behavioral and Brain Sciences.

Engines of the Brain: The Computational Instruction Set of Human Cognition

Richard Granger, R. Granger, 2006, AI Mag..

A cortical model of winner-take-all competition via lateral inhibition

Richard Granger, Robert L. Coultrip, Gary Lynch, 1992, Neural Networks.

Algorithmic Identification of Looted Archaeological Sites from Space

Richard Granger, Elijah F. W. Bowen, Brett B. Tofel, 2017, Front. ICT.

Brain circuit implementation: High-precision computation from low-precision components

Richard Granger, R. Granger, 2005 .

Learning what is where from unlabeled images: joint localization and clustering of foreground objects

Ashok Chandrashekar, Richard Granger, Lorenzo Torresani, 2013, Machine Learning.

Inference processing and error recovery in sentence understanding

Richard Granger, Kurt P. Eiselt, 1989 .

Models of thalamocortical system

Richard Granger, Robert A. Hearn, 2007, Scholarpedia.

Novel speech processing mechanism derived from auditory neocortical circuit analysis

Richard Granger, Gary Lynch, Boris Aleksandrovsky, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Scruffy Text Understanding: Design and Implementation of the NOMAD System

Richard Granger, Rika Yoshii, Chris J. Staros, 1983, ANLP.

Directing And Re-Directing Inference Pursuit: Extra-Textual Influences on Text Interpretation

Richard Granger, R. Granger, 1981, IJCAI.

Tracking Moving Objects Improves Recognition

Andrew Felch, Richard Granger, Nimit Dhulekar, 2010, IPCV.

ATLAST: A Three-level Language Analysis System

Richard Granger, Jennifer K. Holbrook, Kurt P. Eiselt, 1984, GWAI.

Derivation of a Novel Efficient Supervised Learning Algorithm from Cortical-Subcortical Loops

Ashok Chandrashekar, Richard Granger, R. Granger, 2012, Front. Comput. Neurosci..

Scruffy Text Understanding: Design and Implementation of 'Tolerant' Understanders

Richard Granger, 1982, ACL.

Elemental Cognitive Acts, and Their Architecture

Richard Granger, Laura Ray, Antonio Rodriguez, 2017, AAAI Fall Symposia.

Brain Derived Vision Algorithm on High Performance Architectures

Nikil D. Dutt, Alexander V. Veidenbaum, Alexandru Nicolau, 2009, International Journal of Parallel Programming.

Learning and Classification in a Noisy Environment by a Simulated Cortical Network

Richard Granger, David A. Stenger, Vijayanand Kowtha, 1995 .

STMVPA: Spatiotemporal multivariate pattern analysis permits fine-grained visual categorization

Richard Granger, Yaroslav O. Halchenko, Michael Hanke, 2011 .

When Expectation Fails: Towards a Self-Correcting Inference System

Richard Granger, 1980, AAAI.

Parameters of LTP induction modulate network categorization behavior

Richard Granger, Gary Lynch, Karl Kilborn, 1997 .

The NOMAD System: Expectation-Based Detection and Correction of Errors During Understanding of Syntactically and Semantically III-Formed Text

Richard Granger, 1983, Am. J. Comput. Linguistics.

Continuous two-dimensional current source density analyses of electrophysiological activity in hippocampal slices

Richard Granger, Sam Robertson, Makoto Taketani, 2001, Neurocomputing.

Incremental Learning from Noisy Data

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986, Machine Learning.

STRATEGIST: A Program That Models Strategy-Driven and Content-Driven Inference Behavior

Richard Granger, Jennifer K. Holbrook, Kurt P. Eiselt, 1983, AAAI.

FOUL-UP: A Program that Figures Out Meanings of Words from Context

Richard Granger, R. Granger, 1977, IJCAI.

Keynote talk

Richard Granger, 2006, WWW.

Learning Hierarchical Representations and Behaviors

Richard Granger, Robert A. Hearn, 2008, AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence.

Beyond Incremental Processing: Tracking Concept Drift

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986, AAAI.

Sensor-rich robots driven by real-time brain circuit algorithms

Jeffrey L. Krichmar, Richard Granger, Hiroaki Wagatsuma, 2011 .

Neural Network Model of Striatal Complex

Richard Granger, Gary Lynch, Boris Aleksandrovsky, 1997, IWANN.

Neural networks and networks of neurons

Richard Granger, John Larson, Gary Lynch, 1990 .

Toward the quantification of cognition pdf

Richard Granger, R. Granger, 2020, ArXiv.

Vision for Time-Varying Images

Richard Granger, 2012 .

Combining numeric and symbolic learning techniques

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986 .

An algorithm derived from thalamocortical circuitry stores and retrieves temporal sequences

Richard Granger, Gary Lynch, Boris Aleksandrovsky, 1996, Proceedings of 13th International Conference on Pattern Recognition.

The grammar of mammalian brain capacity

Richard Granger, A. Rodriguez, R. Granger, 2016, Theor. Comput. Sci..

Towards a perceptual distance metric for auditory stimuli pdf

Richard Granger, Damian Sowinski, Sarah Oh, 2020, ArXiv.

Sparse random networks with LTP learning rules approximate Bayes classifiers via Parzen's method

Richard Granger, Robert L. Coultrip, R. Granger, 1994, Neural Networks.

Visual stream connectivity predicts assessments of image quality pdf

Richard Granger, Elijah F. W. Bowen, Antonio Rodriguez, 2020, Journal of vision.

A neocortically-derived model of continuous contextual processing

Richard Granger, Gary Lynch, A. Garzotto, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Components of learning in a reactive environment

Pat Langley, Richard Granger, Dennis F. Kibler, 1986 .

Neural Architecture of Auditory Object Categorization

Richard Granger, Samuel Lloyd, Michael Hanke, 2011 .

Computation of frequency-to-spatial transform by olfactory bulb glomeruli

Richard Granger, Gary Lynch, P. S. Antón, 2004, Biological Cybernetics.

How brains are built: Principles of computational neuroscience

Richard Granger, R. Granger, 2017, 1704.03855.

Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments

Richard Granger, Joachim Lohn-Jaramillo, Elijah F. W. Bowen, 2021, ICPRAM.

LTP learning rules and categorization: effects of physiological parameters

Richard Granger, Karl Kilborn, 2021 .

Evidence That a Positive Modulator of AMPA-Type Glutamate Receptors Improves Delayed Recall in Aged Humans

Richard Granger, Gary Lynch, Markus Kessler, 1997, Experimental Neurology.

Enhancement by an Ampakine of Memory Encoding in Humans

Richard Granger, Gary A. Rogers, Martin Ingvar, 1997, Experimental Neurology.

Essential circuits of cognition: The brain's basic operations, architecture, and representations

Richard Granger, R. Granger, 2006 .

Simulated dendritic spines influence reciprocal synaptic strengths and lateral inhibition in the olfactory bulb

Richard Granger, Gary Lynch, G. Lynch, 1993, Brain Research.

Big Brain: The Origins and Future of Human Intelligence

Richard Granger, Gary Lynch, G. Lynch, 2008 .

The computation of contingency in classical conditioning

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986 .

Short-Latency Single Unit Processing in Olfactory Cortex

Richard Granger, Tim Otto, Gary Lynch, 1991, Journal of Cognitive Neuroscience.

Identification of Diagnostic Evoked Response Potential Segments in Alzheimer's Disease

Richard Granger, Gary Lynch, James Benvenuto, 2002, Experimental Neurology.

Multivariate sensitivity to voice during auditory categorization.

Richard Granger, Jonathan E Peelle, David J. M. Kraemer, 2015, Journal of neurophysiology.

Simulation and Analysis of a Simple Cortical Network

Richard Granger, Gary Lynch, G. Lynch, 1989 .

Higher olfactory processes: perceptual learning and memory

Richard Granger, Gary Lynch, G. Lynch, 1991, Current Opinion in Neurobiology.

Computational properties and behavioral expression of cortical-peripheral interactions suggested by a model of olfactory bulb and piriform cortex

Richard Granger, José Ambros-Ingerson, 1990 .

Categorical Speech Processing in Broca's Area: An fMRI Study Using Multivariate Pattern-Based Analysis

Richard Granger, Rajeev D S Raizada, Yune-Sang Lee, 2012, The Journal of Neuroscience.

Effects of LTP on Response Selectivity of Simulated Cortical Neurons

Richard Granger, Gary Lynch, Karl Kilborn, 1996, Journal of Cognitive Neuroscience.

Behavioral Tests of a Prediction from a Cortical Network Simulation

Richard Granger, Tim Otto, Gary Lynch, 1991 .