Artificial Neural Network Models of Real Neural Computation

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Artificial Neural Network Models of Real Neural Computation

description

Artificial Neural Network Models of Real Neural Computation. Minus times Minus equals Plus: The reason for this we need not discuss. W.H. Auden. 1.0. w 0. p 1. w 1. p 2. w 2. a. p n. w n. p i. Outputs. Inputs. p i. p i. Hidden Units. Training set:. Minimize error. - PowerPoint PPT Presentation

Transcript of Artificial Neural Network Models of Real Neural Computation

Artificial Neural Network Models of Real Neural Computation

Minus times Minus equals Plus:The reason for this we need not discuss.

W.H. Auden

f ( net ) =

11+e−net

: 'logistic'

w1

w2

w0

wn

.

.

.

1.0

p1

pn

p2 a net =w0 + p1w1 + p2w2 +K + pnwn

a = f (net)

pi

pi

pi

Inputs Outputs

a1

a2

a3

Hidden Units

Training set:

p1 → a*1

M

pi → a* i

M

Error = a

j* i −aj( )

j∑

2

Minimize error

f net( ) =net : 'linear'

Retinal Receptive Field of spatially tuned neuron in area 7a

Experiment

Model

Experiment Model Hidden Units

ExternalInputs

outputs

ExternalInput

Weights

RecurrentWeights

1.0 p1 p2

Non-Zero Weight

<-<-<- Training data

Performance