Attention, les informations que vous consultez actuellement ne sont pas celles de l'année universitaire en cours. Consulter l'année universitaire 2023-2024.
UE393 - Visual Perception [COGSCI 306]
Lieu et planning
-
ENS-Ulm
75005 Paris
1er semestre / hebdomadaire, mercredi 14:00-17:00
du 15 septembre 2021 au 12 janvier 2022
Description
Dernière modification : 18 juin 2021 12:44
- Type d'UE
- Enseignements fondamentaux de master
- Disciplines
- Psychologie et sciences cognitives
- Page web
- https://docs.google.com/document/d/16nGDC0l_7Hg-q-ow0CZsUg8u00ahwPlg20BCi7HRrZM/edit
- Langues
- anglais
- Mots-clés
- Sciences cognitives
- Aires culturelles
- -
Intervenant·e·s
- Pascal Mamassian [référent·e] directeur de recherche, CNRS
The objective of this course is to give you the keys to understand the fundamental concepts in visual perception, following a multi-disciplinary approach in neuroscience, psychology and modeling. In neuroscience, the visual system is presented from the processing of the retinal image to the cortex. In the healthy adult man, we present how the visual scene is analyzed in its motion, form, color, and depth, and how attention modulates perception. From a computational point of view, the principles of neuronal coding and decoding are exposed, as well as those underlying inferential perception. Various experimental techniques are exposed, including those using signal processing and those analyzing eye movements such as pupillometry. Finally, the course presents a comparative approach of interspecies vision, from fly to man, as well as a debate on the revolution of deep learning for vision.
L’objectif de ce cours est de vous donner les clés pour comprendre les concepts fondamentaux en perception visuelle, en suivant une approche multi-disciplinaire en neurosciences, comportement et modélisation. En neurosciences, le système visuel est présenté depuis le traitement de l’image rétinienne jusqu’au cortex. Chez l’homme adulte sain, nous présentons comment la scène visuelle est analysée sous ses aspects de mouvement, de forme, de couleur et de profondeur, et comment l’attention module la perception. D’un point de vue computationnel, les principes du codage et décodage neuronal sont exposés, ainsi que ceux sous-jacents à la perception inférentielle. Différentes techniques expérimentales sont exposées, dont celles utilisant le traitement de signal et celles analysant les mouvements oculaires comme la pupillométrie. Enfin, le cours présente une approche comparative de la vision inter-espèces, depuis la mouche jusqu'à l'homme, ainsi qu’un débat sur la révolution de l’apprentissage profond pour la vision.
Students with limited knowledge in neuroscience or experimental psychology are encouraged to contact the module leader before registering.
On successful completion of this course, students should be able to: understand the organization of the visual system in humans and other species ; interpret new visual phenomena in the light of the fundamental effects; identify which modelling technique is more appropriate for a given effect ; appreciate what makes a good experimental design to avoid common pitfalls.
Master
-
Séminaires de tronc commun
– Sciences cognitives
– M1/S1-M2/S3
Suivi et validation – semestriel hebdomadaire = 6 ECTS
MCC – examen
Renseignements
- Contacts additionnels
- -
- Informations pratiques
les inscriptions sont soumises à l'accord préalable du responsable d'UE.
- Direction de travaux des étudiants
Classes follow a 3-hour lecture format with a break half-way through. Students are engaged in critical thinking through questions asked by the lecturer (e.g. why do you think we do not see black in the blind spot?) and questions asked by other students (clarifications, link with other Cogmaster modules, …). There is no homework.
The exam is composed of a written and an oral part (equal weight for the grade). Both of these are based on the critical evaluation of one published paper on one of the topics covered in the course. Each paper should be chosen from 2 randomly assigned articles at the beginning of the term, from two different lecturers.
The written document should be no more than 10 pages (everything included; aim for about 2,000 words). Write your evaluation in the style of a “Dispatch” for Current Biology or a “News and Views” for Nature Neuroscience. Place the work in some broader context, summarise the main findings, and provide your own critical thinking about the work, eventually by referring to other published papers on similar topics. Do not hesitate to copy figures (with references in the caption) or make your own figures if you think this could help.
The oral presentation should be based on a powerpoint presentation (or whatever software you prefer). The presentation should be no more than 15min, and will be followed by 15min of questions by the lecturers of the course. Some papers are dense, packed with a lot of data; if this happens, do not attempt to summarise everything, but instead give the big picture and go in depth on only one or two key points. Clearly distinguish what is in the paper and what is your own critical thinking.
written exam (50%)
oral exam (50%)
- Réception des candidats
- -
- Pré-requis
Students with limited knowledge in neuroscience or experimental psychology are encouraged to contact the module leader before registering.
Dernière modification : 18 juin 2021 12:44
- Type d'UE
- Enseignements fondamentaux de master
- Disciplines
- Psychologie et sciences cognitives
- Page web
- https://docs.google.com/document/d/16nGDC0l_7Hg-q-ow0CZsUg8u00ahwPlg20BCi7HRrZM/edit
- Langues
- anglais
- Mots-clés
- Sciences cognitives
- Aires culturelles
- -
Intervenant·e·s
- Pascal Mamassian [référent·e] directeur de recherche, CNRS
The objective of this course is to give you the keys to understand the fundamental concepts in visual perception, following a multi-disciplinary approach in neuroscience, psychology and modeling. In neuroscience, the visual system is presented from the processing of the retinal image to the cortex. In the healthy adult man, we present how the visual scene is analyzed in its motion, form, color, and depth, and how attention modulates perception. From a computational point of view, the principles of neuronal coding and decoding are exposed, as well as those underlying inferential perception. Various experimental techniques are exposed, including those using signal processing and those analyzing eye movements such as pupillometry. Finally, the course presents a comparative approach of interspecies vision, from fly to man, as well as a debate on the revolution of deep learning for vision.
L’objectif de ce cours est de vous donner les clés pour comprendre les concepts fondamentaux en perception visuelle, en suivant une approche multi-disciplinaire en neurosciences, comportement et modélisation. En neurosciences, le système visuel est présenté depuis le traitement de l’image rétinienne jusqu’au cortex. Chez l’homme adulte sain, nous présentons comment la scène visuelle est analysée sous ses aspects de mouvement, de forme, de couleur et de profondeur, et comment l’attention module la perception. D’un point de vue computationnel, les principes du codage et décodage neuronal sont exposés, ainsi que ceux sous-jacents à la perception inférentielle. Différentes techniques expérimentales sont exposées, dont celles utilisant le traitement de signal et celles analysant les mouvements oculaires comme la pupillométrie. Enfin, le cours présente une approche comparative de la vision inter-espèces, depuis la mouche jusqu'à l'homme, ainsi qu’un débat sur la révolution de l’apprentissage profond pour la vision.
Students with limited knowledge in neuroscience or experimental psychology are encouraged to contact the module leader before registering.
On successful completion of this course, students should be able to: understand the organization of the visual system in humans and other species ; interpret new visual phenomena in the light of the fundamental effects; identify which modelling technique is more appropriate for a given effect ; appreciate what makes a good experimental design to avoid common pitfalls.
-
Séminaires de tronc commun
– Sciences cognitives
– M1/S1-M2/S3
Suivi et validation – semestriel hebdomadaire = 6 ECTS
MCC – examen
- Contacts additionnels
- -
- Informations pratiques
les inscriptions sont soumises à l'accord préalable du responsable d'UE.
- Direction de travaux des étudiants
Classes follow a 3-hour lecture format with a break half-way through. Students are engaged in critical thinking through questions asked by the lecturer (e.g. why do you think we do not see black in the blind spot?) and questions asked by other students (clarifications, link with other Cogmaster modules, …). There is no homework.
The exam is composed of a written and an oral part (equal weight for the grade). Both of these are based on the critical evaluation of one published paper on one of the topics covered in the course. Each paper should be chosen from 2 randomly assigned articles at the beginning of the term, from two different lecturers.
The written document should be no more than 10 pages (everything included; aim for about 2,000 words). Write your evaluation in the style of a “Dispatch” for Current Biology or a “News and Views” for Nature Neuroscience. Place the work in some broader context, summarise the main findings, and provide your own critical thinking about the work, eventually by referring to other published papers on similar topics. Do not hesitate to copy figures (with references in the caption) or make your own figures if you think this could help.
The oral presentation should be based on a powerpoint presentation (or whatever software you prefer). The presentation should be no more than 15min, and will be followed by 15min of questions by the lecturers of the course. Some papers are dense, packed with a lot of data; if this happens, do not attempt to summarise everything, but instead give the big picture and go in depth on only one or two key points. Clearly distinguish what is in the paper and what is your own critical thinking.
written exam (50%)
oral exam (50%)
- Réception des candidats
- -
- Pré-requis
Students with limited knowledge in neuroscience or experimental psychology are encouraged to contact the module leader before registering.
-
ENS-Ulm
75005 Paris
1er semestre / hebdomadaire, mercredi 14:00-17:00
du 15 septembre 2021 au 12 janvier 2022