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UE938 - MOD 201 - Computational Neuroscience
Lieu et planning
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Autre lieu Paris
ENS, 29 rue d'Ulm 75005 Paris
2nd semestre / hebdomadaire, lundi 14:00-16:00
du 1er février 2021 au 17 mai 2021
Description
Dernière modification : 8 avril 2021 11:26
- Type d'UE
- Enseignements fondamentaux de master
- 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
- -
Intervenant·e·s
- Boris Gutkin [référent·e] directeur de recherche, CNRS
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
-
Initiation/introduction
– 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).
Dernière modification : 8 avril 2021 11:26
- Type d'UE
- Enseignements fondamentaux de master
- 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
- -
Intervenant·e·s
- Boris Gutkin [référent·e] directeur de recherche, CNRS
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
-
Initiation/introduction
– Sciences cognitives
– M1/S2
Suivi et validation – semestriel quotidienne = 4 ECTS
MCC – contrôle continu
- 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).
-
Autre lieu Paris
ENS, 29 rue d'Ulm 75005 Paris
2nd semestre / hebdomadaire, lundi 14:00-16:00
du 1er février 2021 au 17 mai 2021