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 […]
References 이정모 (2009) 『인지과학: 학문 간 융합의 원리와 응용』. 성균관대학교출판부. pp.443-450 이애영 (2013) 기억의 분류와 담당 뇌구조. 『2013년 대한신경과학회 제32차 학술대회 강의록』. pp.203-208
Frith, C. (2007) Making up the Mind: How the Brain Creates Our Mental World. Wiley-Blackwell Great idea, Great book.
Henry Markram: A brain in a supercomputer #TED : http://on.ted.com/a0R3g [ted id=659]
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 […]