Nadav Ben-Shushan

Phd candidate in computational neuroscience. My research projects includes data analysis and modeling of brain functions utilized by neural networks. In my work I use a wide range of analytic skills, which include: dynamical systems, stochastic processes, statistics etc. Numerically, I'm experienced with Matlab and Python, where I use packages such as: Numpy, Scipy, Pandas, Tensor-flow, Keras etc.

Fixational drift is driven by diffusive dynamics in central neural circuitry

Nadav Ben-Shushan, Nimrod Shaham, Mati Joshua, Yoram Burak

bioRxiv 2021.02.10.430643; doi: https://doi.org/10.1101/2021.02.10.430643

A theory of inference amid fixational drift explains the contrast paradox in vernier hyperacuity

Ben-Shushan Nadav, and Burak Yoram

Cosyne Abstracts, Lisbon, Portugal. (2019)

Stabilizing patterns in time: Neural network approach
Ben-Shushan N, Tsodyks M (2017) Stabilizing patterns in time: Neural network approach. PLOS Computational Biology 13(12): e1005861. https://doi.org/10.1371/journal.pcbi.1005861