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UE948 - MOD 101 - Introduction to cognitive modeling
Lieu et planning
-
Autre lieu Paris
ENS, 29 rue d'Ulm 75005 Paris
1er semestre / hebdomadaire, lundi 08:00-10:00
du 21 septembre 2020 au 18 janvier 2021
Description
Dernière modification : 8 avril 2021 11:27
- 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
- Modélisation Sciences cognitives
- Aires culturelles
- -
Intervenant·e·s
- Alex Cayco Gajic [référent·e] professeure junior, ENS
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
-
Initiation/introduction
– 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
- -
Dernière modification : 8 avril 2021 11:27
- 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
- Modélisation Sciences cognitives
- Aires culturelles
- -
Intervenant·e·s
- Alex Cayco Gajic [référent·e] professeure junior, ENS
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
-
Initiation/introduction
– Sciences cognitives
– M1/S1
Suivi et validation – semestriel hebdomadaire = 4 ECTS
MCC – contrôle continu, examen
- 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
- -
-
Autre lieu Paris
ENS, 29 rue d'Ulm 75005 Paris
1er semestre / hebdomadaire, lundi 08:00-10:00
du 21 septembre 2020 au 18 janvier 2021