Download:
|
by Arto Jarvinen, A. Jarvinen
ftp://ftp.isy.liu.se/pub/bb/TechReports/LiTHISYI0994.ps.gz
Add To MetaCart
Abstract:
This report is a survey of information representations in both biological and artificial neural networks. The correct information representation is crucial for the dynamics and the adaptation algorithms of neural networks. A number of examples of existing information representations are given. 1
Citations
|
1106
|
Neural networks and physical systems with emergent collective computational abilities
– Hopfield
- 1982
|
|
807
|
Self-organized formation of topologically correct feature maps
– Kohonen
- 1982
|
|
546
|
The Organization of Behavior
– Hebb
- 1949
|
|
475
|
Learning Representations by Back-Propagating Errors
– Rumelhart, Hinton, et al.
- 1986
|
|
436
|
The perceptron: a probabilistic model for information storage and organization in the brain
– Rosenblatt
- 1958
|
|
389
|
Adaptive switching circuits
– Widrow, Hoff
- 1960
|
|
207
|
Connectionist models and their properties
– Feldman, Ballard
- 1982
|
|
126
|
How brains make chaos in order to make sense of the world
– Skarda, Freeman
- 1987
|
|
121
|
Nettalk: A parallel network that learns to read aloud
– Sejnowski, Rosenberg
- 1986
|
|
103
|
How does a brain build a cognitive code
– Grossberg
- 1980
|
|
65
|
Correlation Matrix Memories
– Kohonen
- 1972
|
|
64
|
Neocognitron: a neural network model for a mechanism of visual pattern recognition
– Fukushima, Miyake, et al.
- 1983
|
|
16
|
A dynamical approach to temporal pattern processing
– Stornetta, Hogg, et al.
- 1988
|
|
13
|
Computational maps in the brain
– Knudsen, Lac, et al.
- 1987
|
|
3
|
A learning algorithm for Bolzmann machines
– Ackley, Hinton, et al.
- 1985
|
|
3
|
Uncertainty as a foundation of computational power in neural networks
– Gaines
- 1987
|
|
2
|
search of the engram
– In
- 1950
|
|
2
|
Phasor neural networks
– Noest
- 1988
|
|
1
|
What is the code
– Colbert, Levy
- 1988
|
|
1
|
On applying associative networks: an approach for representation and goal-directed learning
– Fisher
- 1987
|
|
1
|
Mechanisms of coding by cortical neurones of the configuration of a tactile stimulus
– Korobeinikov
- 1980
|
|
1
|
A neural approach to concept representation suggests explanations for certain aspects of aphasia, alexia and agraphia
– Martin
- 1986
|
|
1
|
Computing shape with neural networks: a proposal
– Oyster, Skrzypek
- 1987
|
|
1
|
Representing shape primitives in neural networks
– Pawlicki
- 1988
|
|
1
|
The representation of variables in connectionist models
– Walters
- 1987
|
