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Mattia Della Vecchia

PhD student

Curriculum vitae

Interests

  • Computational Neuroscience
  • Biologically Inspired AI
  • Reinforcement Learning
  • Statistical Physics
  • Natural Behavior

Education

  • Double degree M.Sc. in Physics of Complex Systems, 2021

    Sorbonne University University Paris-Saclay University Paris-Diderot, France - Politecnico di Torino, Italy

  • B.Sc. in Physical Engineering, 2019

    Politecnico di Torino, Italy

Biography

I am a PhD student at the Group for Neural Theory at Ecole Normale Supérieure in Paris . I have interests at the interface of Computational Neuroscience and Artificial Intelligence.

I performed my bachelor internship in the laboratory of Luca Berdondini at Italian Institute of Technology on large-scale neural recordings, spike sorting, and clustering. My master thesis focused on stochastic gradient descent methods for training recurrent neural networks inspired by biological findings under the supervision of Vincent Hakim at LPENS.

I am currently working on the relations between cerebellum, basal ganglia, and reinforcement learning.

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