Computational Neuroscience | Coursera

Brief information Instructors: Rajesh P. N. Rao, Adrienne Fairhall About this course: This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered […]

Computational Neuroscience | Course | MS CogSci

Range 8.1~8.7 9.1~9.10 10.1~10.14 10.19~10.21 Chapter 8. Principal-Components Analysis 8.1. Introduction Self-organized learning Self-organized learning is a type of unsupervised learning. locality of learning 8.2. Principles of Self-Organization Principle 1: self-amplification The following rule is based on Hebb’s postulate of learning. If two neurons of a synapse are activated simultaneously, then synaptic strength is selectively […]

Studying ‘Connectomics’

What is ‘Connectomics’? “the production and study of connectomes: comprehensive maps of connections within an organism’s nervous system” – Wikipedia the study of brain networks References Connectomics – Wikipedia Gerald Edelman, Bright Air, Brilliant Fire Rodolfo R. Llinas, I of the Vortex David Eagleman, Incognito Jeff Hawkins & Sandra Blakeslee, On Intelligence V. S. Ramachandran […]