An n-level field theory of biological neural networks (Q48379150)

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scientific article published in January 1993

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Language	Label	Description	Also known as
English	An n-level field theory of biological neural networks	scientific article published in January 1993

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instance of

scholarly article

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Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

title

An n-level field theory of biological neural networks (English)

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

author name string

G A Chauvet

series ordinal

1

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

publication date

1 January 1993

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stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

number of pages

25

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published in

Journal of Mathematical Biology

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stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

volume

31

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

issue

8

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

page(s)

771-795

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

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A field theory of neural nets: I. Derivation of field equations.

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Excitatory and inhibitory interactions in localized populations of model neurons

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Existence and stability of local excitations in homogeneous neural fields

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The recent excitement about neural networks

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Hierarchical functional organization of formal biological systems: a dynamical approach. I. The increase of complexity by self-association increases the domain of stability of a biological system

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Branch Input Resistance and Steady Attenuation for Input to One Branch of a Dendritic Neuron Model

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Long-term potentiation in hippocampal CA3 neurons: tetanized input regulates heterosynaptic efficacy

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Adaptive filter model of the cerebellum

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Biophysical model of a Hebbian synapse

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Hebbian synapses: biophysical mechanisms and algorithms

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Spin glass model of learning by selection

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Nonlinear difference-differential equations in prediction and learning theory

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Identifiers

DOI

10.1007/BF00168045

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

PubMed publication ID

8263424

1 reference

stated in

Europe PubMed Central

PubMed publication ID

8263424

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/8263424

zbMATH Open document ID

0788.92003

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