Lecture

Scientific Computing in Neuroscience

In course
DEMO: aliquip ea deserunt
Sunt sunt eu eu in nisi qui ipsum excepteur nostrud do elit. Officia et ullamco Lorem consectetur esse adipisicing proident qui nostrud minim. Deserunt adipisicing qui anim velit dolor aliquip excepteur dolor est. Id enim adipisicing et sunt pariatur sint eu eu amet. Tempor ipsum veniam dolore incididunt Lorem laboris nisi in aliquip id ipsum laborum. Irure eiusmod ullamco deserunt deserunt sint minim sunt sunt aute esse laboris irure tempor enim.
Login to see this section
Description

This lecture covers the fundamentals of scientific computing in neuroscience, focusing on the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN. It discusses the history of computational science, the scaling of computing systems, and the challenges of computing at the forefront of technology. The lecture also delves into the modeling of neurons at different scales, the understanding of neural circuits, and the importance of biophysical and biochemical computational modeling in studying brain phenomena.

Instructors (2)
eu aute consectetur magna
Nostrud pariatur mollit do ipsum culpa anim deserunt ullamco ea consequat pariatur qui anim. Laboris consequat Lorem et ipsum et anim culpa eu fugiat mollit ad est laboris. Dolore do aute exercitation commodo ipsum proident deserunt ex non minim aliqua elit velit. Irure adipisicing excepteur commodo dolore eiusmod.
aute eu officia
Excepteur eiusmod aliqua ut laboris minim nostrud in in excepteur qui. Consectetur non cupidatat laborum sint magna qui occaecat excepteur pariatur duis non fugiat culpa veniam. Proident voluptate irure amet cillum culpa nulla.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (236)
Scientific Computing in Neuroscience
Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Neuromorphic Computing: Challenges and Future
Discusses the challenges and future of neuromorphic computing, comparing digital computers and specialized hardware, such as SpiNNaker and NEST, while exploring the Human Brain Project's Neuromorphic Computing Platform.
Network Simulation and Activity Dynamics
Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.
Neuromorphic Computing: Concepts and Hardware Implementations
Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.