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esther-poniatowski/README.md

GitHub ID

@esther-poniatowski

Contact

eponiatowski@clipper.ens.psl.eu

Topics

  • Theoretical Modeling in Cognitive Neurosciences
  • Neuronal Networks
  • Coding - Representations - Information

Tools & Skills

  • Python
  • Mathematics
  • Neurosciences
  • Data Analysis

Current Occupation

PhD since 2022
The overall goal of this work is to investigate how neuronal networks (biological and artificial) encode and process information.
Specifically, it aims to understand better how those network can produce context-dependent behaviors.
In other words, how does contextual information influence the processing of identical input stimuli, up to lead to different outputs ?

This question is tackled in two steps:

  1. Data analysis of neurophysiological recordings of single neurons in behaving animals.
  2. Theoretical Modeling of information coding in the framework of low-rank networks.

Popular repositories

  1. 2223_UlmM2_ThNeuro 2223_UlmM2_ThNeuro Public

    TDs sheets and corrections

    Jupyter Notebook 3

  2. PCBS-UBC_synapse PCBS-UBC_synapse Public

    Modeling signal filtering in the synapse between Mossy Fibers and Unipolar Brush Cells

    Jupyter Notebook

  3. Massi2022 Massi2022 Public

    Testing different Reinforcement Learning strategies inspired by hippocampal replay for robotic navigation

    Roff 1

  4. esther-poniatowski esther-poniatowski Public

    Config files - GitHub profile.

  5. multitask-context-dependent-behavior multitask-context-dependent-behavior Public