Professor Meir Ron

Research Interests:

Theoretical Neuroscience, Learning and adaptation in natural and artificial systems

Short Synopsis:

Dynamics and computation in Networks of Biological Neurons,
Learning and control in Natural and Artificial Systems, Neural Decoding and Multisensory Integration

 

A.  Susemihl, R. Meir and Manfred Opper, “Dynamic state estimation based on Poisson spike trains—towards a theory of optimal encoding”,    Journal of Statistical Mechanics: Theory and Experiment, 3, P03009, 2013.
D. Soudry and R. Meir, “Conductance-based neuron models and the slow dynamics of excitability”, Frontiers in Computational Neuroscience, 6(4), 2012.
A.  Tamar,  D. Di Castro and R. Meir , Integrating a Partial Model into Model Free Reinforcement Learning,  Journal of Machine Learning Research 13: 1927-1966, 2012
S. Yaeli and R. Meir, “Error-based analysis of optimal tuning functions predicts phenomena observed in sensory neurons”, Frontiers in Computational Neuroscience, 4:130, 2010
D. Soudry and R. Meir, “History dependent dynamics in a generic model of ion channels – an analytic study”, Frontiers in Computational Neuroscience, Vol. 4:3, 2010