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Hebbian theory
Known as:
Cell assembly theory
, Cell assemblies
, Hebbian synapse
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Hebbian theory is a theory in neuroscience that proposes an explanation for the adaptation of neurons in the brain during the learning process…
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Related topics
Related topics
18 relations
Artificial neural network
Artificial neuron
BCM theory
Cognitive computer
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Broader (1)
Computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
Accurate Hardening Modeling As Basis For The Realistic Simulation Of Sheet Forming Processes With Complex Strain‐Path Changes
V. Levkovitch
,
B. Svendsen
2007
Corpus ID: 55398698
Sheet metal forming involves large strains and severe strain‐path changes. Large plastic strains lead in many metals to the…
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2001
2001
Put fuzzy cognitive maps to work in virtual worlds
M. Parenthoën
,
P. Reignier
,
J. Tisseau
IEEE International Conference on Fuzzy Systems
2001
Corpus ID: 5236022
This article lies within the interactive virtual stories telling scope and proposes the use of fuzzy cognitive maps as a tool to…
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Highly Cited
1999
Highly Cited
1999
Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis
Kechen Zhang
,
M. Sereno
,
Margaret E. Sereno
Neural Computation
1999
Corpus ID: 14111591
We previously demonstrated that it is possible to learn position-independent responses to rotation and dilation by filtering…
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Review
1998
Review
1998
Neural network design for J function approximation in dynamic programming
X. Pang
,
P. Werbos
1998
Corpus ID: 17877021
This paper shows that a new type of artificial neural network (ANN) -- the Simultaneous Recurrent Network (SRN) -- can, if…
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Highly Cited
1996
Highly Cited
1996
Generalized maze navigation: SRN critics solve what feedforward or Hebbian nets cannot
P. Werbos
,
X. Pang
IEEE International Conference on Systems, Man and…
1996
Corpus ID: 60939529
Previous papers have explained why model-based adaptive critic designs-unlike other designs used in neurocontrol-have the…
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Highly Cited
1992
Highly Cited
1992
Constraints on learning in dynamic synapses
D. Amit
,
Stefano Fusi
Network
1992
Corpus ID: 124217995
Hebbian-type learning is discussed in a network whose synapses are analogue, dynamic variables, whose values have to be…
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Highly Cited
1990
Highly Cited
1990
Theory of self-organization of cortical maps: Mathematical framework
Shigeru Tanaka
Neural Networks
1990
Corpus ID: 31761087
Highly Cited
1988
Highly Cited
1988
Parallel architectures for artificial neural nets
S. Kung
,
Jenq-Neng Hwang
IEEE International Conference on Neural Networks
1988
Corpus ID: 14186938
The authors advocate digital VLSI architectures for implementing a wide variety of artificial neural nets (ANNs). A programmable…
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Highly Cited
1965
Highly Cited
1965
CAUDATE, CORTICAL, HIPPOCAMPAL AND DORSAL THALAMIC LESIONS IN RATS: ALTERNATION AND HEBB-WILLIAMS MAZE PERFORMANCE
C. Gross
,
S. Chorover
,
S. Cohen
1965
Corpus ID: 17827916
1962
1962
Sub-cellular Distribution of the Substance P in the Nervous Tissues
A. Inouye
,
K. Kataoka
Nature
1962
Corpus ID: 4260863
Hebb and Whittaker1 have described the isolation of a sub-cellular fraction of brain tissue which contains bound acetylcholine…
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