**Current students**

- Ahmad Zaid-Abassi (MSc)
- Ron Amit (MSc)
- Baruch Epsetin (PhD)
- Dror Freirich (PhD)
- Omri Harosh (MSc)
- Yuval Harel (PhD)

**Graduated since 2008**

- Orly Avner (MSc, Spike Train Decoding of Analog Signals with a Biologically Inspired Encoding Scheme)
- Efrat Barak (MSc, A model for “what” and “where” in the cortex))
- Omer Bobrowski (MSc, Real Time Spike Train Decoding by Neural Networks)
- Dotan Di Castro (PhD, Aspects of Actor Critic Learning: Theory and Experiments)
- Yedidyah Dordek (MSc, Extracting grid characteristics from spatially distributed place cell inputs)
- Shuki Eizner (MSC Project, Reinforcement learning and biological navigation )
- Nir Even-Chen (MSc, Intrinsic modeling of repetitive time series with application for analysis of event-related potentials)
- Alon Hazan (MSc, Learning and attention in recurrent neural networks)
- Reuven Horon (MSc, Representation issues in recurrent neural networks)
- Gil Litichever (MSc, Multi Model Bayesian Reinforcement Learning)
- Daniel Soudry (PhD, Neurons: from biophysics to functionality)
- Aviv Tamar (MSc, Integrating Partial Model Knowledge in Model Free RL Algorithms)
- Ehud Trainin (PhD, The joint action of biomechanics and neural control)
- Dmitry Volkinshtein (MSc, Existence and Feasibility of a Forward Model in Motor Control)
- Avner Wallach (PhD, Closed loop control of neural systems)
- Eyal Yaakobi (MSc, Exploration in deep neural networks)
- Steve Yaeli (MSc, Optimal Neural Encoding – Mathematical Foundations and Biological Implications)
- Rani Zananiri (MSc project, Optimal Encoding in Sensory Systems)

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