UE948 - MOD 101 - Introduction to cognitive modeling

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
Modélisation Sciences cognitives
Aires culturelles
-

The purpose of this course is twofold: to introduce the range of widely used computational models in neuroscience and cognition, and to introduce key concepts in the field. Regarding the first aim, students will learn about different types of models and their implicit assumptions. For the second aim, students will learn different computational frameworks, ranging from single neurons to social interaction. Key equations may be used to illustrate these concepts, but students will not be required to solve or manipulate equations. As such, a quantitative background is not a prerequisite.

Class 1: Origins of cognitive modelling

Class 2: Neurons and networks

Class 3: Neural coding

Class 4: Uncertainty and confidence

Class 5: Visual perception

Class 6: Decision making

Class 7: Reinforcement learning

Class 8: Memory

Class 9: Language

Class 10: Symbolic reasoning

Class 11: Social behaviour

Class 12: Miscellaneous topics

Class 13 : Final exam

  • Sciences cognitives – M1/S1
    Suivi et validation – semestriel hebdomadaire = 4 ECTS
    MCC – contrôle continu, examen
  • Alex Cayco Gajic [référent·e]   professeure junior, ENS /
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
-

Aucun planning disponible.


Intervenant·e·s


  • Alex Cayco Gajic [référent·e]   professeure junior, ENS /

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
Modélisation Sciences cognitives
Aires culturelles
-

The purpose of this course is twofold: to introduce the range of widely used computational models in neuroscience and cognition, and to introduce key concepts in the field. Regarding the first aim, students will learn about different types of models and their implicit assumptions. For the second aim, students will learn different computational frameworks, ranging from single neurons to social interaction. Key equations may be used to illustrate these concepts, but students will not be required to solve or manipulate equations. As such, a quantitative background is not a prerequisite.

Class 1: Origins of cognitive modelling

Class 2: Neurons and networks

Class 3: Neural coding

Class 4: Uncertainty and confidence

Class 5: Visual perception

Class 6: Decision making

Class 7: Reinforcement learning

Class 8: Memory

Class 9: Language

Class 10: Symbolic reasoning

Class 11: Social behaviour

Class 12: Miscellaneous topics

Class 13 : Final exam


Master


  • Sciences cognitives – M1/S1
    Suivi et validation – semestriel hebdomadaire = 4 ECTS
    MCC – contrôle continu, examen

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
-