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Shamir, Maoz

Faculty (Adjunct, Physiology and Cell Biology)
Shamir, Maoz
Research type
Research topics

Research field
Computational neuroscience / Neurophysics

Research Interests
In my lab we apply tools and concepts from: Statistical Mechanics, Nonlinear Dynamics, Theory of Disordered Systems and Information Theory to the investigation of the central nervous system. The two main topics we focus on are:
• The neural code. How is information about external sensory stimuli or planned motor commands represented by the activity of large nerve cell population? How is this information transmitted and then read-out by downstream population along the information processing pathway in the brain?
• Learning and plasticity in the brain. How do the biophysical parameters that characterize neuronal plasticity affect the stochastic learning dynamics of the network, and what are their computational implications?

Researcher identification


  1. Mendels, O.P. and Shamir, M., Relating The Structure Of Noise Correlations In Macaque Primary Visual Cortex To Decoder Performance, Front. Comput. Neurosci. (2018)
  2. Soloduchin, S. and Shamir, M., Rhythmogenesis Evolves As A Consequence Of Long-Term Plasticity Of Inhibitory Synapses, Sci Rep 13050 (2018)
  3. Luz, Y. and Shamir, M., Oscillations Via Spike-Timing Dependent Plasticity In A Feed-Forward Model, PLoS Comput Biol e1004878 (2016)
  4. Zohar, O. and Shamir, M., A Readout Mechanism For Latency Codes, Front. Comput. Neurosci. (2016)
  5. Reyes-Puerta, V. and Amitai, Y. and Sun, J. and Shani, I. and Luhmann, H.J. and Shamir, M., Long-Range Intralaminar Noise Correlations In The Barrel Cortex, Journal of Neurophysiology 3410-3420 (2015)
  6. Luz, Y. and Shamir, M., The Effect Of Stdp Temporal Kernel Structure On The Learning Dynamics Of Single Excitatory And Inhibitory Synapses, PLoS ONE e101109 (2014)
  7. Shamir, M., Emerging Principles Of Population Coding: In Search For The Neural Code, Current Opinion in Neurobiology 140-148 (2014)
  8. Zohar, O. and Shackleton, T.M. and Palmer, A.R. and Shamir, M., The Effect Of Correlated Neuronal Firing And Neuronal Heterogeneity On Population Coding Accuracy In Guinea Pig Inferior Colliculus, PLoS ONE e81660 (2013)
  9. Luz, Y. and Shamir, M., Balancing Feed-Forward Excitation And Inhibition Via Hebbian Inhibitory Synaptic Plasticity, PLoS Comput Biol e1002334 (2012)
  10. Shriki, O. and Kohn, A. and Shamir, M., Fast Coding Of Orientation In Primary Visual Cortex, PLoS Comput Biol e1002536 (2012)
  11. Tsvilling, V. and Donchin, O. and Shamir, M. and Segev, R., Archer Fish Fast Hunting Maneuver May Be Guided By Directionally Selective Retinal Ganglion Cells, European Journal of Neuroscience 436-444 (2012)
  12. Zohar, O. and Shackleton, T.M. and Nelken, I. and Palmer, A.R. and Shamir, M., First Spike Latency Code For Interaural Phase Difference Discrimination In The Guinea Pig Inferior Colliculus, Journal of Neuroscience 9192-9204 (2011)
  13. Vasserman, G. and Shamir, M. and Ben Simon, A. and Segev, R., Coding “What” And “When” In The Archer Fish Retina, PLoS Comput Biol e1000977 (2010)
  14. Shamir, M., The Temporal Winner-Take-All Readout, PLoS Comput Biol e1000286 (2009)
  15. Shamir, M. and Ghitza, O. and Epstein, S. and Kopell, N., Representation Of Time-Varying Stimuli By A Network Exhibiting Oscillations On A Faster Time Scale, PLoS Comput Biol e1000370 (2009)
  16. Shamir, M. and Sen, K. and Colburn, H.S., Temporal Coding Of Time-Varying Stimuli, Neural Computation 3239-3261 (2007)
  17. Wang, L. and Narayan, R. and Grana, G. and Shamir, M. and Sen, K., Cortical Discrimination Of Complex Natural Stimuli: Can Single Neurons Match Behavior?, Journal of Neuroscience 582-589 (2007)
  18. Shamir, M., The Scaling Of Winner-Takes-All Accuracy With Population Size, Neural Computation 2719-2729 (2006)
  19. Shamir, M. and Sompolinsky, H., Implications Of Neuronal Diversity On Population Coding, Neural Computation 1951-1986 (2006)
  20. Shamir, M. and Sompolinsky, H., Nonlinear Population Codes, Neural Computation 1105-1136 (2004)
  21. Sompolinsky, H. and Yoon, H. and Kang, K. and Shamir, M., Population Coding In Neuronal Systems With Correlated Noise, Phys. Rev. E 051904 (2001)
  22. Shamir, M. and Sompolinsky, H., Thouless-Anderson-Palmer Equations For Neural Networks, Phys. Rev. E 1839-1844 (2000)