Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. - Misha Tsodyks; Henry Markram (ICANN, 1996)

The Information Content of Action Potential Trains - A Synaptic Basis. - Henry Markram; Misha Tsodyks (ICANN, 1997)

An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials. - Walter Senn; Misha Tsodyks; Henry Markram (ICANN, 1997)

The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. - Ofer Hendin; David Horn 001; Misha Tsodyks (J. Comput. Neurosci., 1997)

Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. - Ofer Hendin; David Horn 001; Misha Tsodyks (J. Comput. Neurosci., 1998)

Reading Neuronal Synchrony with Depressing Synapses. - Walter Senn; Idan Segev; Misha Tsodyks (Neural Comput., 1998)

Neural Networks with Dynamic Synapses. - Misha Tsodyks; Klaus Pawelzik; Henry Markram (Neural Comput., 1998)

Analysis and modeling of population dynamics in the visual cortex. - Gideon Dror; Misha Tsodyks (Neurocomputing, 1999)

Relation Between Retinotopical and Orientation Maps in Visual Cortex. - Udo Ernst; Klaus Pawelzik; Misha Tsodyks; Terrence J. Sejnowski (Neural Comput., 1999)

Activity of coupled excitatory and inhibitory neural populations with dynamic synapses. - Gideon Dror; Misha Tsodyks (Neurocomputing, 2000)

Chaos in neural networks with dynamic synapses. - Gideon Dror; Misha Tsodyks (Neurocomputing, 2000)

An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. - Walter Senn; Henry Markram; Misha Tsodyks (Neural Comput., 2001)

Computation by Ensemble Synchronization in Recurrent Networks with Synaptic Depression. - Alex Loebel; Misha Tsodyks (J. Comput. Neurosci., 2002)

Associative learning in early vision. - Misha Tsodyks; Yael Adini; Dov Sagi (Neural Networks, 2004)

Erratum to: Associative learning in early vision [Neural Networks 17 (5-6) 823-832]. - Misha Tsodyks; Yael Adini; Dov Sagi (Neural Networks, 2004)

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)

Recognition by Variance: Learning Rules for Spatiotemporal Patterns. - Omri Barak; Misha Tsodyks (Neural Comput., 2006)

The Emergence of Up and Down States in Cortical Networks. - David Holcman; Misha Tsodyks (PLoS Comput. Biol., 2006)

Persistent Activity in Neural Networks with Dynamic Synapses. - Omri Barak; Misha Tsodyks (PLoS Comput. Biol., 2007)

Correction: Persistent Activity in Neural Networks with Dynamic Synapses. - Omri Barak; Misha Tsodyks (PLoS Comput. Biol., 2007)

Slow oscillations in neural networks with facilitating synapses. - Ofer Melamed; Omri Barak; Gilad Silberberg; Henry Markram; Misha Tsodyks (J. Comput. Neurosci., 2008)

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)

Continuous Attractors with Morphed/Correlated Maps. - Sandro Romani; Misha Tsodyks (PLoS Comput. Biol., 2010)

Short-Term Facilitation may Stabilize Parametric Working Memory Trace. - Vladimir Itskov; David Hansel; Misha Tsodyks (Frontiers Comput. Neurosci., 2011)

Intracellular Dynamics of Virtual Place Cells. - Sandro Romani; Terrence J. Sejnowski; Misha Tsodyks (Neural Comput., 2011)

Population spikes in cortical networks during different functional states. - Shirley Mark; Misha Tsodyks (Frontiers Comput. Neurosci., 2012)

Neural information processing with dynamical synapses. - Si Wu 001; K. Y. Michael Wong; Misha Tsodyks (Frontiers Comput. Neurosci., 2013)

Scaling Laws of Associative Memory Retrieval. - Sandro Romani; Itai Pinkoviezky; Alon Rubin; Misha Tsodyks (Neural Comput., 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)

Short-term synaptic plasticity. - Misha Tsodyks; Si Wu 001 (Scholarpedia, 2013)

Word length effect in free recall of randomly assembled word lists. - Mikhail Katkov; Sandro Romani; Misha Tsodyks (Frontiers Comput. Neurosci., 2014)

Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells. - Bailu Si; Sandro Romani; Misha Tsodyks (PLoS Comput. Biol., 2014)

Neural Network Model of Memory Retrieval. - Stefano Recanatesi; Mikhail Katkov; Sandro Romani; Misha Tsodyks (Frontiers Comput. Neurosci., 2015)

Feature Detection in Visual Cortex during Different Functional States. - Pavel Esir; Alexander Simonov; Misha Tsodyks (Frontiers Comput. Neurosci., 2017)

Memory States and Transitions between Them in Attractor Neural Networks. - Stefano Recanatesi; Mikhail Katkov; Misha Tsodyks (Neural Comput., 2017)

Stabilizing patterns in time: Neural network approach. - Nadav Ben-Shushan; Misha Tsodyks (PLoS Comput. Biol., 2017)

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)

Biases and Variability from Costly Bayesian Inference. - Arthur Prat-Carrabin; Florent Meyniel; Misha Tsodyks; Rava Azeredo da Silveira (Entropy, 2021)

Using large language models to study human memory for meaningful narratives. - Antonios Georgiou; Tankut Can; Mikhail Katkov; Misha Tsodyks (CoRR, 2023)

Hierarchical Working Memory and a New Magic Number. - Weishun Zhong; Mikhail Katkov; Misha Tsodyks (CoRR, 2024)

Information Theory of Meaningful Communication. - Doron Sivan; Misha Tsodyks (CoRR, 2024)

Random Tree Model of Meaningful Memory. - Weishun Zhong; Tankut Can; Antonis Georgiou; Ilya Shnayderman; Mikhail Katkov; Misha Tsodyks (CoRR, 2024)