Ph.D.

Eli Meirom

Ph.D.

Elad Oved

Mathematical investigations of biophysically motivated models of ion channels, neurons and networks

Ph.D.

Daniel Soudry

Optimal encoding in sensory systems 

M.Sc.

Rani Zananiri

On the performance of echo state networks

M.Sc.

Boaz Aizenshtark

Spike train encoding of analog signals with a biologically inspired encoding scheme 

M.Sc.

Orly Avner

A Model for "What" and "Where" Information in the Cortexx

M.Sc.

Efrat Barak

Direct policy search in reinforcement learning and synaptic plasticity in biological neural networks

M.Sc.

Dorit Baras

Real time spike train decoding by neural networks

M.Sc.

Omer Bobrowski

Population dynamics of neural networks

M.Sc.

DotanxDixCastro

Aspects of actor-critic learning: theory and experiments

Ph.D.

DotanxDixCastro

 The impact of synaptic depression on up-down states in neural networks: a dynamical system perspective

M.Sc.

Ayelet Kanter

Multi model Bayesian reinforcement learning

M.Sc.

Gil Litichever

Effective Optimization Procedures for Machine Learning Based on Data-Dependent Error Bounds

Ph.D.

Dori Peleg

Combining model based and model free reinforcement learning

M.Sc.

Aviv Tamar

The joint action of biomechanical and neural control in determining motor behavior: A computational study

Ph.D.

Ehud Trainin

On the existence and feasibility of a forward model in motor control

M.Sc.

Dmitry   Volknishtein

Experimental and theoretical studies of long-term dynamics in excitable cells using concepts from the fields of systems and control

Ph.D.

Avner Wallach

Optimal neural encoding - mathematical foundations and biological implications 

M.Sc.

Steve Yaeli