Concept

Physical neural network

Cours associés (20)

ChE-606: AI in chemistry and beyond: Trends in the field

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledg

ChE-607: AI in chemistry and beyond: Success stories

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.

BIOENG-404: Analysis and modelling of locomotion

The lecture presents an overview of the state of the art in the analysis and modeling of human locomotion and the underlying motor circuits. Multiple aspects are considered including neurophysiology,

BIOENG-450: In silico neuroscience

"In silico Neuroscience" introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies.

BIO-465: Biological modeling of neural networks

In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by determ

EE-605: Statistical Sequence Processing

This course discusses advanced methods extensively used for the processing, prediction, and classification of temporal (multi-dimensional and multi-channel) sequences. In this context, it also describ

ChE-650: Artificial intelligence in chemistry and beyond (fall)

CS-434: Unsupervised & reinforcement learning in neural networks

Learning is observable in animal and human behavior, but learning is also a topic of computer science. This course links algorithms from machine learning with biological phenomena of synaptic plastic

BIO-623: State of the Art Topics in Neuroscience XII

Surprise, Reward, and Curiosity are drives of human, animal, and robot behavior. The class links theories of reinforcement learning with human behavior beyond standard notions of reward.