Connectionism

Question 1

autoassociator

Answer 1

aim to prodcue the same output as learned even if input is noisy/degraded, learning occurs often by the Delta Rule

Question 2

activiation function

Answer 2

depends on relation between net input and activity level which it produces, can be linear, threhold liners, binary or simoid

Question 3

BCIs

Answer 3

using a neural interface system, machine translates neuronal activoty into control signals for assisitive devices

Question 4

Backpropagation

Answer 4

calculates the error between desired level of activation and actual level, error send back to input units, changing weights -> supervised learning

Question 5

Competitive learning

Answer 5

output units compete with each other to determine who has the largest response to a presented unit, 3 phases -> hippocampus

Question 6

connectionism

Answer 6

using artificial neural networks