Concept
Neurosciences computationnelles
Cours associés (27)
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Décrire les processus cognitifs et cérébraux à l'œuvre dans les processus de mémoire et la formation de l'individualité. Identifier les différences et les similitudes entre approches neurobiologiques
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Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system
BIO-499: Neural circuits of motivated behaviors
Motivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate internal states, detect
BIO-483: Neuroscience: behavior and cognition
The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those
NX-414: Brain-like computation and intelligence
Recent advances in machine learning have contributed to the emergence of powerful models of animal perception and behavior. In this course we will compare the behavior and underlying mechanisms in the
MATH-642: Artificial Life
We will give an overview of the field of Artificial Life (Alife). We study questions such as emergence of complexity, self-reproduction, evolution, both through concrete models and through mathematica
PHYS-722: Lectures in Neurophysics
This doctoral class will focus on large-scale neural data analysis and large networks, in particular mean-field methods and manifolds.
BIOENG-490: Project in computational neurosciences
The student will engage in a laboratory-based project in the field of computational neuroscience in one of the research labs of the EPFL working in this field.
BIO-642: State of the Art Topics in Neuroscience XIII
The Loss Landscape of Neural Networks is in general non-convex and rough, but recent mathematical results lead provide insights of practical relevance.
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BIO-693(10): State of the Art Topics in Neuroscience X
This symposium (Feb 16/17 2023) "What is memory? Molecular, cellular and computational answers" brings together leading experts in the field of learning and memory who will share their latest findings