'Hebbian learning rule' presentation slideshows

3.2. Neurons and their networks 3.2.1 Biological neurons

3.2. Neurons and their networks 3.2.1 Biological neurons. Tasks such as navigation, but also cognition, memory etc. happen in the nervous system (more specifically the brain). The nervous system is made up of several different types of cells: - Neurons - Astrocytes - Microglia

808 views • 63 slides

Chapter 6 Associative Models

Chapter 6 Associative Models. Introduction. Associating patterns which are similar, contrary, in close proximity (spatial), in close succession (temporal) or in other relations Associative recall/retrieve evoke associated patterns recall a pattern by part of it: pattern completion

811 views • 48 slides

Biological and Artificial Neurons Michael J. Watts mike.watts.nz

490 views • 35 slides

Programming Neural Networks and Fuzzy Systems in FOREX Trading

540 views • 29 slides

How the Brain Learns: Rules and Outcomes

How the Brain Learns: Rules and Outcomes. Psychology 209 January 28, 2013. The brain is highly plastic and changes in response to experience . Alteration of experience leads to alterations of neural representations in the brain.

424 views • 25 slides

Unsupervised Learning

Unsupervised Learning. Motivation: Given a set of training examples with no teacher or critic, why do we learn? Feature extraction Data compression Signal detection and recovery Self organization Clustering Information can be found about data from inputs. Principal Component Analysis.

139 views • 12 slides