Artificial Neural Network Models of Real Neural Computation

Nov 05, 2014

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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.

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Artificial Neural Network Models of Real Neural Computation

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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 w0 p1 w1 p2 w2 a . . . pn wn pi Outputs Inputs pi pi Hidden Units Training set: Minimize error

Retinal Receptive Field of spatially tuned neuron in area 7a

Experiment Model
Experiment Model Hidden Units
p1 p2 1.0 Non-Zero Weight Recurrent Weights outputs External Input Weights External Inputs

<-<-<- Training data Performance

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Artificial Neural Network Models of Real Neural Computation

Artificial Neural Network Models of Real Neural Computation

Presentation Transcript

Secrets of Neural Network Models

Artificial Neural Network

Artificial Neural Network (ANN) Paradigms

Artificial Intelligence &amp; Neural Network

Artificial Neural Network

Artificial Neural Network

Artificial Neural Network (Back-Propagation Neural Network)

Artificial Neural Network

ARTIFICIAL NEURAL NETWORK (ANN)

Artificial Neural Network: Control Systems

Artificial Neural Network: Dynamic Networks

ARTIFICIAL NEURAL NETWORK APPLICATION

Artificial Neural Network Supervised Learning

An Introduction to Artificial Neural Network Models

Artificial Neural Network (ANN)

Artificial Neural Network

Artificial Neural Network Motivation

ARTIFICIAL NEURAL NETWORK

-Artificial Neural Network- Hopfield Neural Network(HNN)

Artificial Neural Network (ANN) Paradigms

Analysis of Artificial Neural Network

Artificial Neural Network Market

Artificial Intelligence & Neural Network