M. Tsodyks

发表

Differential signaling via the same axon of neocortical pyramidal neurons.

H. Markram, Y. Wang, M. Tsodyks, 1998, Proceedings of the National Academy of Sciences of the United States of America.

The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability.

H. Markram, M. Tsodyks, Henry Markram, 1997, Proceedings of the National Academy of Sciences of the United States of America.

Working models of working memory

M. Tsodyks, O. Barak, 2014, Current Opinion in Neurobiology.

Coding and learning of behavioral sequences

H. Markram, W. Gerstner, W. Maass, 2004, Trends in Neurosciences.

Redistribution of synaptic efficacy between neocortical pyramidal neurons

H. Markram, M. Tsodyks, 1996, Nature.

Dynamics of Memory Representations in Networks with Novelty-Facilitated Synaptic Plasticity

D. Sagi, M. Tsodyks, Barak Blumenfeld, 2006, Neuron.

Synaptic Theory of Working Memory

M. Tsodyks, O. Barak, G. Mongillo, 2008, Science.

From fixed points to chaos: Three models of delayed discrimination

L. Abbott, R. Romo, David Sussillo, 2013, Progress in Neurobiology.

Neuronal Population Coding of Parametric Working Memory

R. Romo, M. Tsodyks, O. Barak, 2010, The Journal of Neuroscience.

Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model

B. McNaughton, T. Sejnowski, M. Tsodyks, 1998, Hippocampus.

Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks

D. Amit, M. Tsodyks, 1991 .

The Enhanced Storage Capacity in Neural Networks with Low Activity Level

M. Tsodyks, M. V. Feigel’man, M. V. Feigel'man, 1988 .

Spontaneously emerging cortical representations of visual attributes

A. Grinvald, M. Tsodyks, A. Arieli, 2003, Nature.

Neuronal assemblies: Single cortical neurons are obedient members of a huge orchestra

A. Grinvald, M. Tsodyks, A. Arieli, 2003, Biopolymers.

Paradoxical Effects of External Modulation of Inhibitory Interneurons

B. McNaughton, T. Sejnowski, M. Tsodyks, 1997, The Journal of Neuroscience.

Advanced Distributed Learning

Martin V. Butz, Christian Balkenius, Birger Johansson, 2012 .

Redistribution of synaptic efficacy: A mechanism to generate infinite synaptic input diversity from a homogenous population of neurons without changing absolute synaptic efficacies

H. Markram, M. Tsodyks, Henry Markram, 1996, Journal of Physiology - Paris.

Spike-timing-dependent synaptic plasticity – the long road towards understanding neuronal mechanisms of learning and memory

M. Tsodyks, 2002, Trends in Neurosciences.

Information Processing with Frequency-Dependent Synaptic Connections

H. Markram, Yun Wang, Anirudh Gupta, 1998, Neurobiology of Learning and Memory.

Capacity of networks with correlated attractors

M. Tsodyks, L. Cugliandolo, 1994 .

ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS

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

Associative Memory in Asymmetric Diluted Network with Low Level of Activity

M. Tsodyks, 1988 .

Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses

H. Markram, Anirudh Gupta, M. Tsodyks, 1998, Neuropharmacology.

Attractor neural network models of spatial maps in hippocampus

M Tsodyks, M. Tsodyks, 1999, Hippocampus.

Neural Networks with Dynamic Synapses

Henry Markram, Misha Tsodyks, Klaus Pawelzik, 1998, Neural Computation.

ASSOCIATIVE MEMORY IN NEURAL NETWORKS WITH BINARY SYNAPSES

M. Tsodyks, 1990 .

Activity-Dependent Transmission in Neocortical Synapses

M. Tsodyks, 2005 .

ASSOCIATIVE MEMORY IN NEURAL NETWORKS WITH THE HEBBIAN LEARNING RULE

M. Tsodyks, 1989 .

An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing

Henry Markram, Misha Tsodyks, Walter Senn, 2001, Neural Computation.

Relation Between Retinotopical and Orientation Maps in Visual Cortex

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

Biases and Variability from Costly Bayesian Inference

Florent Meyniel, Rava Azeredo da Silveira, Misha Tsodyks, 2021, Entropy.

Computation by Ensemble Synchronization in Recurrent Networks with Synaptic Depression

Misha Tsodyks, Alex Loebel, M. Tsodyks, 2002, Journal of Computational Neuroscience.

Linking spontaneous activity of single cortical neurons and the underlying functional architecture.

A. Grinvald, M. Tsodyks, A. Arieli, 1999, Science.

Theta‐paced flickering between place‐cell maps in the hippocampus: A model based on short‐term synaptic plasticity

Sandro Romani, Misha Tsodyks, Shirley Mark, 2017, Hippocampus.

Processing of Sounds by Population Spikes in a Model of Primary Auditory Cortex

I. Nelken, M. Tsodyks, A. Loebel, 2007, Front. Neurosci..

A theory of working memory without consciousness or sustained activity

M. Tsodyks, S. Dehaene, J. King, 2016, bioRxiv.

Short‐term plasticity based network model of place cells dynamics

S. Romani, M. Tsodyks, 2015, Hippocampus.

Spike frequency adaptation and neocortical rhythms.

Henry Markram, Misha Tsodyks, Galit Fuhrmann, 2002, Journal of neurophysiology.

Chaos in Highly Diluted Neural Networks

Misha Tsodyks, B. Tirozzi, M. Tsodyks, 1991 .

Synaptic Correlates of Working Memory Capacity

Mikhail Katkov, Misha Tsodyks, Yuanyuan Mi, 2017, Neuron.

Visual perception as retrospective Bayesian decoding from high- to low-level features

Misha Tsodyks, Ning Qian, Christopher J. Cueva, 2017, Proceedings of the National Academy of Sciences.

Memory Retrieval from First Principles

S. Romani, M. Tsodyks, S. Romani, 2017, Neuron.

Chapter 22 Emergence of feature selectivity from lateral interactions in the visual cortex

M. Tsodyks, U. Ernst, K. Pawelzik, 2001 .

Microsaccade latency uncovers stimulus predictability: Faster and longer inhibition for unpredicted stimuli

D. Sagi, M. Tsodyks, A. Arieli, 2013 .

Correction: Persistent Activity in Neural Networks with Dynamic Synapses

Misha Tsodyks, Omri Barak, M. Tsodyks, 2007, PLoS Comput. Biol..

Synchrony in Integrate-and-Fire Networks

H. Sompolinsky, M. Tsodyks, I. Mitkov, 1993 .

Adaptation to Weightlessnes

Martin V. Butz, Christian Balkenius, Birger Johansson, 2012 .

Synaptic scaling enables dynamically distinct short- and long-term memory formation

F. Wörgötter, M. Tsodyks, M. Timme, 2013, BMC Neuroscience.

Altruistic Behavior and Cognitive Specialization in Animal Communities

Vivienne B. Carr, Christina M. Steiner, Amy B. Adcock, 2012 .

Activity-Dependent Synapses Coding of Temporal Information by

Henry Markram, Brent Doiron, Robert Rosenbaum, 2015 .

Statistics of free memory recall

M. Tsodyks, M. Katkov, 2022, Physical Review Research.

Mathematical models of human memory

M. Tsodyks, M. Katkov, Michelangelo Naim, 2022, Journal of Mathematical Physics.

Context dependent learning in contrast discrimination: effects of contrast uncertainty

D. Sagi, M. Tsodyks, Y. Adini, 2010 .

Affective priming and learning

Vivienne B. Carr, Christina M. Steiner, Amy B. Adcock, 2012 .

Faculty Opinions recommendation of Efficient auditory coding.

Misha Tsodyks, M. Tsodyks, 2006 .

Forgetting dynamics for items of different categories

M. Tsodyks, M. Katkov, Antonios Georgiou, 2022, bioRxiv.

Short-term synaptic plasticity

Si Wu, Misha Tsodyks, M. Tsodyks, 2013, Scholarpedia.

Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats

Nachum Ulanovsky, Arseny Finkelstein, Misha Tsodyks, 2018, Nature Communications.

Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation

Misha Tsodyks, Christian Tetzlaff, Florentin Wörgötter, 2013, BMC Neuroscience.

Multiquantal release underlies the distribution of synaptic effi cacies in the neocortex

Henry Markram, Misha Tsodyks, Gilad Silberberg, 2022 .

Mapping dynamic memories of gradually changing objects

Misha Tsodyks, Dov Sagi, Son Preminger, 2009, Proceedings of the National Academy of Sciences.

Context-enabled learning in the human visual system

Misha Tsodyks, Yael Adini, Dov Sagi, 2002, Nature.

Analysis of a two-alternative force-choice signal detection theory model

D. Sagi, M. Tsodyks, M. Katkov, 2006 .

Singularities in the inverse modeling of 2AFC contrast discrimination data

Mikhail Katkov, Misha Tsodyks, Dov Sagi, 2006, Vision Research.

Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding

Henry Markram, Misha Tsodyks, H. Markram, 1996, ICANN.

Coding of temporal information by activity-dependent synapses.

Henry Markram, Idan Segev, Misha Tsodyks, 2002, Journal of neurophysiology.

Effects of order on memory of event times

Mikhail Katkov, Misha Tsodyks, Michelangelo Naim, 2021, Scientific Reports.

Effects of order on episodic memory of event times

M. Tsodyks, M. Katkov, Michelangelo Naim, 2020, bioRxiv.

Cross-fixation interactions of orientations suggest high-to-low-level decoding in visual working memory

M. Tsodyks, N. Qian, Long Luu, 2021, Vision Research.

Neural Network Model of Memory Retrieval

Sandro Romani, Mikhail Katkov, Misha Tsodyks, 2015, Front. Comput. Neurosci..

Persistent Activity in Neural Networks with Dynamic Synapses

Misha Tsodyks, Omri Barak, M. Tsodyks, 2007, PLoS Comput. Biol..

A unifying principle underlying the extracellular field potential spectral responses in the human cortex.

Gal Chechik, Misha Tsodyks, Rafael Malach, 2015, Journal of neurophysiology.

Short-Term Facilitation may Stabilize Parametric Working Memory Trace

Misha Tsodyks, David Hansel, Vladimir Itskov, 2011, Front. Comput. Neurosci..

Scaling Laws of Associative Memory Retrieval

Sandro Romani, Misha Tsodyks, Alon Rubin, 2013, Neural Computation.

Memory States and Transitions between Them in Attractor Neural Networks

Mikhail Katkov, Misha Tsodyks, Stefano Recanatesi, 2017, Neural Computation.

Feature Detection in Visual Cortex during Different Functional States

Misha Tsodyks, Alexander Simonov, Pavel Esir, 2017, Front. Comput. Neurosci..

Population spikes in cortical networks during different functional states

Misha Tsodyks, Shirley Mark, M. Tsodyks, 2012, Front. Comput. Neurosci..

Slow oscillations in neural networks with facilitating synapses

Henry Markram, Misha Tsodyks, Omri Barak, 2008, Journal of Computational Neuroscience.

Neural networks and perceptual learning

Misha Tsodyks, Charles Gilbert, C. Gilbert, 2004, Nature.

Associative learning in early vision

Misha Tsodyks, Yael Adini, Dov Sagi, 2004, Neural Networks.

Activity of coupled excitatory and inhibitory neural populations with dynamic synapses

Misha Tsodyks, Gideon Dror, M. Tsodyks, 2000, Neurocomputing.

Analysis and modeling of population dynamics in the visual cortex

Misha Tsodyks, Gideon Dror, M. Tsodyks, 1999, Neurocomputing.

RAPID STATE SWITCHING IN BALANCED CORTICAL NETWORK MODELS

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

E ective neurons and attractor neural networks in cortical environment

Daniel J. Amit, Misha Tsodyks, D. Amit, 1992 .

Quantitative Study of Attractor Neural Network Retrieving at Low Spike Rates: I

Daniel J. Amit, Misha Tsodyks, D. Amit, 1991 .

Continuous Attractors with Morphed/Correlated Maps

Sandro Romani, Misha Tsodyks, S. Romani, 2010, PLoS Comput. Biol..

ASSOCIATIVE MEMORY AND HIPPOCAMPAL P L A C E CELLS

M. Tsodyks, 1995 .

Inverse modeling of human contrast response

D. Sagi, M. Tsodyks, M. Katkov, 2007, Vision Research.

An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials

Henry Markram, Misha Tsodyks, Walter Senn, 1997, ICANN.

Multiple mechanisms govern the dynamics of depression at neocortical synapses of young rats

Idan Segev, Misha Tsodyks, Christian Stricker, 2004, The Journal of physiology.

Abstracts of the 16th Annual Meeting of The Israel Society for Neuroscience Eilat, Israel, November 25–27, 2007

Yonina C. Eldar, Karl J. Friston, Leslie G. Ungerleider, 2008, Neural plasticity.

The Emergence of Up and Down States in Cortical Networks

Misha Tsodyks, David Holcman, M. Tsodyks, 2006, PLoS Comput. Biol..

Chaos in neural networks with dynamic synapses

Misha Tsodyks, Gideon Dror, M. Tsodyks, 2000, Neurocomputing.

Multiscale representation of very large environments in the hippocampus of flying bats

M. Tsodyks, N. Ulanovsky, Liora Las, 2021, Science.

Ability Determinants of Complex Skill Acquisition

Vivienne B. Carr, Christina M. Steiner, Amy B. Adcock, 2012 .

Stabilizing patterns in time: Neural network approach

Misha Tsodyks, Nadav Ben-Shushan, M. Tsodyks, 2017, PLoS Comput. Biol..

Effects of long-term representations on free recall of unrelated words

Sandro Romani, Mikhail Katkov, Misha Tsodyks, 2015, Learning & memory.

The Information Content of Action Potential Trains - A Synaptic Basis

Henry Markram, Misha Tsodyks, H. Markram, 1997, ICANN.

'Balancing' of Conductances May Explain Irregular Cortical Spiking

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

Neural Circuits: Models of Emergent Functions

M. Tsodyks, M. Tsodyks, 2001 .

Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes pdf

Misha Tsodyks, Ning Qian, Adel Ardalan, 2021, ArXiv.

Perceptual learning in contrast discrimination: the effect of contrast uncertainty.

Misha Tsodyks, Yael Adini, Amos Wilkonsky, 2004, Journal of vision.

Coding of Temporal Information . . .

Henry Markram, Idan Segev, Misha Tsodyks, 2007 .

Emergence of hierarchical organization in memory for random material

M. Tsodyks, M. Katkov, Stefano Recanatesi, 2019, bioRxiv.

Singularities explained: Response to Klein

D. Sagi, M. Tsodyks, M. Katkov, 2007, Vision Research.

Practice makes perfect in memory recall

Sandro Romani, Mikhail Katkov, Misha Tsodyks, 2016, Learning & memory.

Word length effect in free recall of randomly assembled word lists

Sandro Romani, Mikhail Katkov, Misha Tsodyks, 2014, Front. Comput. Neurosci..

Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors

Daniel J. Amit, M. Griniasty, M. V. Tsodyks, 1999, Neural Computation.

Mathematical models of learning and what can be learned from them

M. Tsodyks, O. Barak, 2023, Current Opinion in Neurobiology.

Abstracts of the 16th Annual Meeting of The Israel Society for Neuroscience Eilat, Israel, November 25–27, 2007

Yonina C. Eldar, Karl J. Friston, Leslie G. Ungerleider, 2008, Neural plasticity.

Early perceptual loss in depression

Yonina C. Eldar, Karl J. Friston, Charles R. Seger, 2007 .

Working memory: somatic spikes or synaptic calcium?

M. Tsodyks, O. Barak, G. Mongillo, 2008 .

The effects of perceptual history on memory of visual objects

Misha Tsodyks, Dov Sagi, Son Preminger, 2007, Vision Research.

Retroactive interference model of forgetting

M. Tsodyks, M. Katkov, Antonios Georgiou, 2021, The Journal of Mathematical Neuroscience.

Neural network model of the primary visual cortex: From functional architecture to lateral connectivity and back

M. Tsodyks, Barak Blumenfeld, D. Bibitchkov, 2006, Journal of Computational Neuroscience.

Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb

Misha Tsodyks, David Horn, Ofer Hendin, 1998, Journal of Computational Neuroscience.

The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb

Misha Tsodyks, David Horn, Ofer Hendin, 1997, Journal of Computational Neuroscience.

Multiquantal release underlies the distribution of synaptic efficacies in the neocortex

H. Markram, G. Silberberg, M. Tsodyks, 2009, Frontiers Comput. Neurosci..

Abstracts of the 15th Annual Meeting of the Israel Society for Neuroscience Eilat, Israel, December 3–5, 2006

Leslie G. Ungerleider, D. Amit, H. Seung, 2006, Neural Plasticity.

Correlations of cortical Hebbian reverberations: theory versus experiment

N Brunel, D J Amit, M V Tsodyks, 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

Excitatory-inhibitory network in the visual cortex: psychophysical evidence.

D. Sagi, M. Tsodyks, Y. Adini, 1997, Proceedings of the National Academy of Sciences of the United States of America.

Spontaneously emerging cortical representations of visual attributes

A. Grinvald, M. Tsodyks, A. Arieli, 2003, Nature.

Spontaneous pattern generation by a network with dynamic synapses

Dmitri Bibitchkov, Barak Blumenfeld, Misha Tsodyks, 2007, BMC Neuroscience.

Intracortical origin of visual maps

M. V. Tsodyks, U. A. Ernst, K. R. Pawelzik, 2001, Nature Neuroscience.

Intracellular Dynamics of Virtual Place Cells

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

Recognition by Variance: Learning Rules for Spatiotemporal Patterns

Misha Tsodyks, Omri Barak, M. Tsodyks, 2006, Neural Computation.

Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells

Sandro Romani, Misha Tsodyks, Bailu Si, 2014, PLoS Comput. Biol..

Dynamics of population rate codes in ensembles of neocortical neurons.

H Markram, M Bethge, G Silberberg, 2004, Journal of neurophysiology.

Neocortical Neurons Dynamics of Population Rate Codes in Ensembles of

H. Markram, M. Tsodyks, K. Pawelzik, 2006 .

A unifying principle underlying the extracellular field potential spectral responses in the human cortex.

R. Malach, M. Tsodyks, Gal Chechik, 2015, Journal of neurophysiology.

Pattern of synchrony in inhomogeneous networks of oscillators with pulse interactions.

Sompolinsky, H. Sompolinsky, M. Tsodyks, 1993, Physical review letters.

Using large language models to study human memory for meaningful narratives

M. Tsodyks, M. Katkov, Antonios Georgiou Tankut Can, 2023, 2311.04742.

Fundamental Law of Memory Recall

S. Romani, M. Tsodyks, M. Katkov, 2019, bioRxiv.

Cross-fixation interactions of orientations suggest that orientation decoding occurs in a high-level area of visual working memory

Misha Tsodyks, Ning Qian, Mingsha Zhang, 2020 .

Reading Neuronal Synchrony with Depressing Synapses

Idan Segev, Misha Tsodyks, Walter Senn, 1998, Neural Computation.

Retroactive Interference Model of Power-Law Forgetting

M. Tsodyks, M. Katkov, Antonios Georgiou, 2019, bioRxiv.

The acquisition of knowledge.

Vivienne B. Carr, Christina M. Steiner, Amy B. Adcock, 1996, American journal of orthopedics.

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

D. Sagi, M. Tsodyks, S. Preminger, 2022 .