Data Recovery

It appears you may have used Coursicle on this device and then cleared your cookies. You can recover your data by answering these questions.

User's photo
User ID:

Your account no longer exists

Your user ID no longer exists. Please refresh the page. If the issue persists, please contact us at support@coursicle.com.

Dismiss

MCB 231 - Computational Neuroscience

Description
Follows trends in modern brain theory, focusing on local neuronal circuits as basic computational modules. Explores the relation between network architecture, dynamics, and function. Introduces tools from information theory, statistical inference, and the learning theory for the study of experience-dependent neural codes. Specific topics: computational principles of early sensory systems; adaptation and gain control in vision, dynamics of recurrent networks; feature selectivity in cortical circuits; memory; learning and synaptic plasticity; noise and chaos in neuronal systems. Course site: https://locator.tlt.harvard.edu/course/colgsas-117859/2023/spring/19398
Recent Professors
Haim Sompolinsky
Recent Semesters
Spring 2024, Spring 2022
Credits
4
Schedule Planner
Add MCB 231 to your schedule
Usually Offered
MW (1 hour 15 minutes)