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Misha Tsodyks
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- affiliation: Weizmann Institute of Science, Israel
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2020 – today
- 2024
- [i3]Weishun Zhong, Mikhail Katkov, Misha Tsodyks:
Hierarchical Working Memory and a New Magic Number. CoRR abs/2408.07637 (2024) - 2023
- [i2]Antonios Georgiou, Tankut Can, Mikhail Katkov, Misha Tsodyks:
Using large language models to study human memory for meaningful narratives. CoRR abs/2311.04742 (2023) - 2021
- [j34]Arthur Prat-Carrabin, Florent Meyniel, Misha Tsodyks, Rava Azeredo da Silveira:
Biases and Variability from Costly Bayesian Inference. Entropy 23(5): 603 (2021) - [i1]Christopher J. Cueva, Adel Ardalan, Misha Tsodyks, Ning Qian:
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes. CoRR abs/2111.01275 (2021)
2010 – 2019
- 2017
- [j33]Pavel Esir, Alexander Simonov, Misha Tsodyks:
Feature Detection in Visual Cortex during Different Functional States. Frontiers Comput. Neurosci. 11: 21 (2017) - [j32]Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks:
Memory States and Transitions between Them in Attractor Neural Networks. Neural Comput. 29(10): 2684-2711 (2017) - [j31]Nadav Ben-Shushan, Misha Tsodyks:
Stabilizing patterns in time: Neural network approach. PLoS Comput. Biol. 13(12) (2017) - 2015
- [j30]Stefano Recanatesi, Mikhail Katkov, Sandro Romani, Misha Tsodyks:
Neural Network Model of Memory Retrieval. Frontiers Comput. Neurosci. 9: 149 (2015) - 2014
- [j29]Mikhail Katkov, Sandro Romani, Misha Tsodyks:
Word length effect in free recall of randomly assembled word lists. Frontiers Comput. Neurosci. 8: 129 (2014) - [j28]Bailu Si, Sandro Romani, Misha Tsodyks:
Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells. PLoS Comput. Biol. 10(4) (2014) - 2013
- [j27]Si Wu, K. Y. Michael Wong, Misha Tsodyks:
Neural information processing with dynamical synapses. Frontiers Comput. Neurosci. 7: 188 (2013) - [j26]Sandro Romani, Itai Pinkoviezky, Alon Rubin, Misha Tsodyks:
Scaling Laws of Associative Memory Retrieval. Neural Comput. 25(10): 2523-2544 (2013) - [j25]Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, Misha Tsodyks, Florentin Wörgötter:
Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation. PLoS Comput. Biol. 9(10) (2013) - [j24]Misha Tsodyks, Si Wu:
Short-term synaptic plasticity. Scholarpedia 8(10): 3153 (2013) - 2012
- [j23]Shirley Mark, Misha Tsodyks:
Population spikes in cortical networks during different functional states. Frontiers Comput. Neurosci. 6: 43 (2012) - 2011
- [j22]Vladimir Itskov, David Hansel, Misha Tsodyks:
Short-Term Facilitation may Stabilize Parametric Working Memory Trace. Frontiers Comput. Neurosci. 5: 40 (2011) - [j21]Sandro Romani, Terrence J. Sejnowski, Misha Tsodyks:
Intracellular Dynamics of Virtual Place Cells. Neural Comput. 23(3): 651-655 (2011) - 2010
- [j20]Sandro Romani, Misha Tsodyks:
Continuous Attractors with Morphed/Correlated Maps. PLoS Comput. Biol. 6(8) (2010)
2000 – 2009
- 2009
- [j19]Alex Loebel, Gilad Silberberg, Daniela Helbig, Henry Markram, Misha Tsodyks, Magnus J. E. Richardson:
Multiquantal release underlies the distribution of synaptic efficacies in the neocortex. Frontiers Comput. Neurosci. 3: 27 (2009) - 2008
- [j18]Ofer Melamed, Omri Barak, Gilad Silberberg, Henry Markram, Misha Tsodyks:
Slow oscillations in neural networks with facilitating synapses. J. Comput. Neurosci. 25(2): 308-316 (2008) - 2007
- [j17]Omri Barak, Misha Tsodyks:
Persistent Activity in Neural Networks with Dynamic Synapses. PLoS Comput. Biol. 3(2) (2007) - [j16]Omri Barak, Misha Tsodyks:
Correction: Persistent Activity in Neural Networks with Dynamic Synapses. PLoS Comput. Biol. 3(5) (2007) - 2006
- [j15]Barak Blumenfeld, Dmitri Bibitchkov, Misha Tsodyks:
Neural network model of the primary visual cortex: From functional architecture to lateral connectivity and back. J. Comput. Neurosci. 20(2): 219-241 (2006) - [j14]Omri Barak, Misha Tsodyks:
Recognition by Variance: Learning Rules for Spatiotemporal Patterns. Neural Comput. 18(10): 2343-2358 (2006) - [j13]David Holcman, Misha Tsodyks:
The Emergence of Up and Down States in Cortical Networks. PLoS Comput. Biol. 2(3) (2006) - 2004
- [j12]Misha Tsodyks, Yael Adini, Dov Sagi:
Associative learning in early vision. Neural Networks 17(5-6): 823-832 (2004) - [j11]Misha Tsodyks, Yael Adini, Dov Sagi:
Erratum to: Associative learning in early vision [Neural Networks 17 (5-6) 823-832]. Neural Networks 17(10): 1495 (2004) - 2002
- [j10]Alex Loebel, Misha Tsodyks:
Computation by Ensemble Synchronization in Recurrent Networks with Synaptic Depression. J. Comput. Neurosci. 13(2): 111-124 (2002) - 2001
- [j9]Walter Senn, Henry Markram, Misha Tsodyks:
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. Neural Comput. 13(1): 35-67 (2001) - 2000
- [j8]Gideon Dror, Misha Tsodyks:
Activity of coupled excitatory and inhibitory neural populations with dynamic synapses. Neurocomputing 32-33: 359-364 (2000) - [j7]Gideon Dror, Misha Tsodyks:
Chaos in neural networks with dynamic synapses. Neurocomputing 32-33: 365-370 (2000)
1990 – 1999
- 1999
- [j6]Gideon Dror, Misha Tsodyks:
Analysis and modeling of population dynamics in the visual cortex. Neurocomputing 26-27: 361-366 (1999) - [j5]Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski:
Relation Between Retinotopical and Orientation Maps in Visual Cortex. Neural Comput. 11(2): 375-379 (1999) - 1998
- [j4]Ofer Hendin, David Horn, Misha Tsodyks:
Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. J. Comput. Neurosci. 5(2): 157-169 (1998) - [j3]Walter Senn, Idan Segev, Misha Tsodyks:
Reading Neuronal Synchrony with Depressing Synapses. Neural Comput. 10(4): 815-819 (1998) - [j2]Misha Tsodyks, Klaus Pawelzik, Henry Markram:
Neural Networks with Dynamic Synapses. Neural Comput. 10(4): 821-835 (1998) - 1997
- [j1]Ofer Hendin, David Horn, Misha Tsodyks:
The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. J. Comput. Neurosci. 4(2): 173-182 (1997) - [c3]Henry Markram, Misha Tsodyks:
The Information Content of Action Potential Trains - A Synaptic Basis. ICANN 1997: 13-23 - [c2]Walter Senn, Misha Tsodyks, Henry Markram:
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials. ICANN 1997: 121-126 - 1996
- [c1]Misha Tsodyks, Henry Markram:
Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. ICANN 1996: 445-450
Coauthor Index
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last updated on 2024-09-30 00:11 CEST by the dblp team
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