YoVDO

How to Simulate a Connectome - Predicting Neural Activity from Connectivity

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Computational Neuroscience Courses Neural Networks Courses Connectomics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a fascinating lecture on simulating connectomes presented by Srini Turaga from the Janelia Research Campus at IPAM's Mathematical Approaches for Connectome Analysis Workshop. Delve into the cutting-edge research on predicting neural activity and understanding neural computation using only connectivity measurements of biological neural networks. Discover how mechanistic models can generate detailed, experimentally testable predictions for individual neurons within a connectome. Learn about the agreement between model predictions and experimental measurements across multiple studies. Gain insights into strategies for developing hypotheses about neural circuit function based on connectivity data. Enhance your understanding of the relationship between neural connectivity and computation in this 52-minute presentation recorded on February 14, 2024, at the Institute for Pure & Applied Mathematics (IPAM) at UCLA.

Syllabus

Srini Turaga - How to simulate a connectome? - IPAM at UCLA


Taught by

Institute for Pure & Applied Mathematics (IPAM)

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX