UE938 - MOD 201 - Computational Neuroscience

Type d'UE
Initiation/introduction
Disciplines
Psychologie et sciences cognitives
Page web
https://cogmaster.ens.psl.eu/en/program/m1-program-13570 
Langues
anglais
Mots-clés
Mathématiques et sciences sociales Sciences cognitives
Aires culturelles
-

This course introduces mathematical and computational modelling approaches to brain information processing. The objective is to initiate students to computational neuroscience and to teach key quantitative concepts. The course is organized in three modules:

  • Modeling of cognition and behavior (classical and operant conditioning, reinforcement learning, decision-making) 

  • Information processing (neural decoding, population encoding, sensory processing, linear receptive fields,)

  • Dynamics and mechanisms (biophysics of neurons, feedforward and recurrent neural networks, synaptic plasticity, associative memories)

Module1. Quantitative Models of Behavior

1.1 The Rescorla-Wagner Learning Rule,

1.2 The Exploration-Exploitation and Reinforcement Learning,

1.3  Reinforcement Learning Continued,

Module 2. Neural Correlates of Behavior

2.1 Neural Decoding,

2.2 Population Coding/Decision Making,

2.3 Neural Encoding,

Module 3. Neural Mechanisms: Neurons and Networks

3.1 Binary Neurons and Networks, Gregory Dumont

3.2 Biophysics of Neurons, Gregory Dumont

3.3 The Hodgkin-Huxley model, Gregory Dumont

  • Sciences cognitives – M1/S2
    Suivi et validation – semestriel quotidienne = 4 ECTS
    MCC – contrôle continu
  • Boris Gutkin [référent·e]   directeur de recherche, CNRS /
Contacts additionnels
cogmaster@psl.eu
Informations pratiques

The complete syllabus of the course is available on the Cogmaster's website. For any information, please contact the secretariat of the Cogmaster.

Registration procedure (external students) : https://cogmaster.ens.psl.eu/en/students/external-students-13501

Direction de travaux des étudiants
-
Réception des candidats
-
Pré-requis

Basic mathematical skills are prerequisite to the course (basic notions of linear algebra, vector arithmetic, basic notions of probability and statistics, calculus and elementary differential equations).

Aucun planning disponible.


Intervenant·e·s


  • Boris Gutkin [référent·e]   directeur de recherche, CNRS /

Planning


Aucun planning disponible.


Description


Type d'UE
Initiation/introduction
Disciplines
Psychologie et sciences cognitives
Page web
https://cogmaster.ens.psl.eu/en/program/m1-program-13570 
Langues
anglais
Mots-clés
Mathématiques et sciences sociales Sciences cognitives
Aires culturelles
-

This course introduces mathematical and computational modelling approaches to brain information processing. The objective is to initiate students to computational neuroscience and to teach key quantitative concepts. The course is organized in three modules:

  • Modeling of cognition and behavior (classical and operant conditioning, reinforcement learning, decision-making) 

  • Information processing (neural decoding, population encoding, sensory processing, linear receptive fields,)

  • Dynamics and mechanisms (biophysics of neurons, feedforward and recurrent neural networks, synaptic plasticity, associative memories)

Module1. Quantitative Models of Behavior

1.1 The Rescorla-Wagner Learning Rule,

1.2 The Exploration-Exploitation and Reinforcement Learning,

1.3  Reinforcement Learning Continued,

Module 2. Neural Correlates of Behavior

2.1 Neural Decoding,

2.2 Population Coding/Decision Making,

2.3 Neural Encoding,

Module 3. Neural Mechanisms: Neurons and Networks

3.1 Binary Neurons and Networks, Gregory Dumont

3.2 Biophysics of Neurons, Gregory Dumont

3.3 The Hodgkin-Huxley model, Gregory Dumont


Master


  • Sciences cognitives – M1/S2
    Suivi et validation – semestriel quotidienne = 4 ECTS
    MCC – contrôle continu

Renseignements


Contacts additionnels
cogmaster@psl.eu
Informations pratiques

The complete syllabus of the course is available on the Cogmaster's website. For any information, please contact the secretariat of the Cogmaster.

Registration procedure (external students) : https://cogmaster.ens.psl.eu/en/students/external-students-13501

Direction de travaux des étudiants
-
Réception des candidats
-
Pré-requis

Basic mathematical skills are prerequisite to the course (basic notions of linear algebra, vector arithmetic, basic notions of probability and statistics, calculus and elementary differential equations).