FUN

Des neurones à la psyché, Introduction aux réseaux de neurones biologiques et artificiels (FUN)

Des neurones à la psyché, Introduction aux réseaux de neurones biologiques et artificiels (FUN)

La thématique du cours porte sur la compréhension des réseaux de neurones biologiques et artificiels dans une perspective théorique (liens entre neurones et psyché, avantage d’un système parallèle distribué par rapport à une machine de Turing-Von Neumann) mais aussi méthodologique (implémentation concrète de réseaux de neurones artificiels).

Ce cours se déroulera sur quatre semaines. Chaque semaine sera composée de 2 à 4 vidéos (de 10 à 15 minutes). Des Quizz vous permettront de valider vos acquis.

Plan du cours

Semaine 1 : Les origines de la psychologie cognitive
Semaine 2 : Algorithmes d'apprentissage synaptique
Semaine 3 : Similitude entre les réseaux de neurones biologiques et artificiels : première partie
Semaine 4 : Similitude entre les réseaux de neurones biologiques et artificiels : seconde partie : Vers des réseaux artificiels conscients ?

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

From neuron to behavior (FUN) FUN
Institut Pasteur

From neuron to behavior (FUN)

Brain function determines our behavior and dictates who we are. Our brain function governs our every thoughts and every action. The brain processes information through the concerted activity of many neurons, which communicate with each other through contacts we call synapses organized in highly dynamic networks. In this course, we are taking a bottom up approach to studying the brain, starting from molecules to end with behaviors and mental disorders.

No sessions available
5-12 Weeks
Cellular Mechanisms of Brain Function (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Cellular Mechanisms of Brain Function (edX)

This course aims for a mechanistic description of mammalian brain function at the level of individual nerve cells and their synaptic interactions. Brain and behavior are inextricably linked in neuroscience. The function of the brain is to govern behavior, and the aim of this course is to causally link biophysical mechanisms with simple behaviors studied in mice.

Self Paced
Self-Paced
Advanced Neurobiology I (Coursera) Coursera
Peking University

Advanced Neurobiology I (Coursera)

Hello everyone! Welcome to advanced neurobiology! Neuroscience is a wonderful branch of science on how our brain perceives the external world, how our brain thinks, how our brain responds to the outside of the world, and how during disease or aging the neuronal connections deteriorate. We’re trying to understand the molecular, cellular nature and the circuitry arrangement of how nervous system works.

Oct 19th 2026
5-12 Weeks
Machine Learning Models in Science (Coursera) Coursera
LearnQuest

Machine Learning Models in Science (Coursera)

This course is aimed at anyone interested in applying machine learning techniques to scientific problems. In this course, we'll learn about the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms. We'll start with data preprocessing techniques, such as PCA and LDA. Then, we'll dive into the fundamental AI algorithms: SVMs and K-means clustering.

Oct 19th 2026
4 Weeks
Visual Perception for Self-Driving Cars (Coursera) Coursera
University of Toronto

Visual Perception for Self-Driving Cars (Coursera)

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.

Oct 19th 2026
5-12 Weeks
Calculus for Machine Learning and Data Science (Coursera) Coursera
DeepLearning.AI

Calculus for Machine Learning and Data Science (Coursera)

After completing this course, learners will be able to: analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients; approximately optimize different types of functions commonly used in machine learning using first-order (gradient descent) and second-order (Newton’s method) iterative methods; visually interpret differentiation of different types of functions commonly used in machine learning; perform gradient descent in neural networks with different activation and cost functions.

Oct 19th 2026
3 Weeks
Optimización de Redes Neuronales Profundas (Coursera) Coursera
Universidad Austral

Optimización de Redes Neuronales Profundas (Coursera)

Este curso se centrará en la optimización de Redes Neuronales Profundas, cambiando la idea de que todo el proceso es una “caja negra”. Comprenderá qué impulsa el rendimiento y podrá obtener mejores resultados de manera más sistemática. Entenderá cómo optimizar los principales Hiperparámetros y su implementación. Además, aprenderá nuevos conceptos útiles para el entrenamiento de las redes como los mini-batch y las regularizaciones. También, aprenderá a implementar una red neuronal utilizando TensorFlow

Oct 26th 2026
3 Weeks
Computational Vision (Coursera) Coursera
University of Colorado Boulder

Computational Vision (Coursera)

In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding.

Oct 19th 2026
4 Weeks