NX-435 / 4 crédits

Enseignant: Mathis Mackenzie

Langue: Anglais


Summary

The course "Systems Neuroscience" explores neural circuits and networks to understand how groups of neurons process information and generate behavior. It integrates techniques from neurophysiology, anatomy, genetics, and computer science to investigate complex brain cell interactions.

Content

Keywords

Neural circuits, computational modeling, perception & decision-making, neuroAI

Learning Prerequisites

Required courses

BIO-311

Recommended courses

CS-433, BIO-411, BIO-482

Important concepts to start the course

Programming in Python, good mathematical background, good neuroscience background (Understanding of neurophysiology).

Learning Outcomes

By the end of the course, the student must be able to:

  • Apply Apply computational approaches to study specific brain functions such as sensory processing, motor control, and cognition
  • Identify Understand the principles of neural coding and information processing.
  • Assess / Evaluate Understand the current state-of-the-art techniques for studying the brain, including electrophysiology, optogenetics, and functional imaging
  • Understand the relationship between brain circuits and behavior
  • Develop computational skills for analyzing neural data

Transversal skills

  • Set objectives and design an action plan to reach those objectives.
  • Write a scientific or technical report.
  • Summarize an article or a technical report.
  • Write a literature review which assesses the state of the art.
  • Use both general and domain specific IT resources and tools
  • Demonstrate the capacity for critical thinking

Teaching methods

Lectures, paper discussions, and hands-on exercises to discuss and work on problem sets

Expected student activities

Attend lectures and take notes during lectures, participate in quizzes and read scientific articles. Solve the problem sets and take the final exam

Assessment methods

The final mark is a combination of three evaluations: problem sets (25%), quizzes (25%), final exam (50%)

Supervision

Office hours Yes
Assistants Yes

Resources

Références suggérées par la bibliothèque

Dans les plans d'études

  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Systems neuroscience
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Systems neuroscience
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Systems neuroscience
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Systems neuroscience
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Systems neuroscience
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 2 Heure(s) hebdo x 14 semaines

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14    AAC132
14-15    
15-16     
16-17   AAC137 
17-18    
18-19     
19-20     
20-21     
21-22     

Jeudi, 16h - 18h: Cours AAC137

Vendredi, 13h - 15h: Exercice, TP AAC132

Cours connexes

Résultats de graphsearch.epfl.ch.