Misha Tsodyks

According to our database, Misha Tsodyks authored at least 39 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using large language models to study human memory for meaningful narratives.

Antonios Georgiou, Tankut Can, Mikhail Katkov, Misha Tsodyks

CoRR, 2023

2021

Biases and Variability from Costly Bayesian Inference.

Arthur Prat-Carrabin, Florent Meyniel, Misha Tsodyks, Rava Azeredo da Silveira

Entropy, 2021

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

Christopher J. Cueva, Adel Ardalan, Misha Tsodyks, Ning Qian

CoRR, 2021

2017

Stabilizing patterns in time: Neural network approach.

Nadav Ben-Shushan, Misha Tsodyks

PLoS Comput. Biol., 2017

Memory States and Transitions between Them in Attractor Neural Networks.

Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks

Neural Comput., 2017

Feature Detection in Visual Cortex during Different Functional States.

Pavel Esir, Alexander Simonov, Misha Tsodyks

Frontiers Comput. Neurosci., 2017

2015

Neural Network Model of Memory Retrieval.

Stefano Recanatesi, Mikhail Katkov, Sandro Romani, Misha Tsodyks

Frontiers Comput. Neurosci., 2015

2014

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

Bailu Si, Sandro Romani, Misha Tsodyks

PLoS Comput. Biol., 2014

Word length effect in free recall of randomly assembled word lists.

Mikhail Katkov, Sandro Romani, Misha Tsodyks

Frontiers Comput. Neurosci., 2014

2013

Short-term synaptic plasticity.

Misha Tsodyks, Si Wu

Scholarpedia, 2013

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

Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, Misha Tsodyks, Florentin Wörgötter

PLoS Comput. Biol., 2013

Scaling Laws of Associative Memory Retrieval.

Sandro Romani, Itai Pinkoviezky, Alon Rubin, Misha Tsodyks

Neural Comput., 2013

Neural information processing with dynamical synapses.

Si Wu, K. Y. Michael Wong, Misha Tsodyks

Frontiers Comput. Neurosci., 2013

2012

Population spikes in cortical networks during different functional states.

Shirley Mark, Misha Tsodyks

Frontiers Comput. Neurosci., 2012

2011

Intracellular Dynamics of Virtual Place Cells.

Sandro Romani, Terrence J. Sejnowski, Misha Tsodyks

Neural Comput., 2011

Short-Term Facilitation may Stabilize Parametric Working Memory Trace.

Vladimir Itskov, David Hansel, Misha Tsodyks

Frontiers Comput. Neurosci., 2011

2010

Continuous Attractors with Morphed/Correlated Maps.

Sandro Romani, Misha Tsodyks

PLoS Comput. Biol., 2010

2009

Multiquantal release underlies the distribution of synaptic efficacies in the neocortex.

Alex Loebel, Gilad Silberberg, Daniela Helbig, Henry Markram, Misha Tsodyks, Magnus J. E. Richardson

Frontiers Comput. Neurosci., 2009

2008

Slow oscillations in neural networks with facilitating synapses.

Ofer Melamed, Omri Barak, Gilad Silberberg, Henry Markram, Misha Tsodyks

J. Comput. Neurosci., 2008

2007

Correction: Persistent Activity in Neural Networks with Dynamic Synapses.

Omri Barak, Misha Tsodyks

PLoS Comput. Biol., 2007

Persistent Activity in Neural Networks with Dynamic Synapses.

Omri Barak, Misha Tsodyks

PLoS Comput. Biol., 2007

2006

The Emergence of Up and Down States in Cortical Networks.

David Holcman, Misha Tsodyks

PLoS Comput. Biol., 2006

Recognition by Variance: Learning Rules for Spatiotemporal Patterns.

Omri Barak, Misha Tsodyks

Neural Comput., 2006

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

Barak Blumenfeld, Dmitri Bibitchkov, Misha Tsodyks

J. Comput. Neurosci., 2006

2004

Erratum to: Associative learning in early vision [Neural Networks 17 (5-6) 823-832].

Misha Tsodyks, Yael Adini, Dov Sagi

Neural Networks, 2004

Associative learning in early vision.

Misha Tsodyks, Yael Adini, Dov Sagi

Neural Networks, 2004

2002

Computation by Ensemble Synchronization in Recurrent Networks with Synaptic Depression.

Alex Loebel, Misha Tsodyks

J. Comput. Neurosci., 2002

2001

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

Walter Senn, Henry Markram, Misha Tsodyks

Neural Comput., 2001

2000

Chaos in neural networks with dynamic synapses.

Gideon Dror, Misha Tsodyks

Neurocomputing, 2000

Activity of coupled excitatory and inhibitory neural populations with dynamic synapses.

Gideon Dror, Misha Tsodyks

Neurocomputing, 2000

1999

Relation Between Retinotopical and Orientation Maps in Visual Cortex.

Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski

Neural Comput., 1999

Analysis and modeling of population dynamics in the visual cortex.

Gideon Dror, Misha Tsodyks

Neurocomputing, 1999

1998

Neural Networks with Dynamic Synapses.

Misha Tsodyks, Klaus Pawelzik, Henry Markram

Neural Comput., 1998

Reading Neuronal Synchrony with Depressing Synapses.

Walter Senn, Idan Segev, Misha Tsodyks

Neural Comput., 1998

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

Ofer Hendin, David Horn, Misha Tsodyks

J. Comput. Neurosci., 1998

1997

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

Ofer Hendin, David Horn, Misha Tsodyks

J. Comput. Neurosci., 1997

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

Walter Senn, Misha Tsodyks, Henry Markram

Proceedings of the Artificial Neural Networks, 1997

The Information Content of Action Potential Trains - A Synaptic Basis.

Henry Markram, Misha Tsodyks

Proceedings of the Artificial Neural Networks, 1997

1996

Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding.

Misha Tsodyks, Henry Markram

Proceedings of the Artificial Neural Networks, 1996