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A biologically constrained learning mechanism in networks of formal neurons

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pssb.2221160202openalex-snapshot
Spin glasses (I)
inferredcites →https://doi.org/10.1007/bf00317939openalex-snapshot
Collective properties of neural networks: A statistical physics approach
inferredcites →https://doi.org/10.1007/bf01304440openalex-snapshot
Learning and pattern recognition in spin glass models
inferredcites →https://doi.org/10.1016/0025-5564(74)90031-5openalex-snapshot
The existence of persistent states in the brain
inferredcites →https://doi.org/10.1016/s0076-5392(08)x6167-3openalex-snapshot
Regression and the Moore-Penrose Pseudoinverse
inferredcites →https://doi.org/10.1051/jphyslet:01985004608035900openalex-snapshot
Information storage and retrieval in spin-glass like neural networks
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1103/physreva.32.1007openalex-snapshot
Spin-glass models of neural networks
inferredcites →https://doi.org/10.2307/2285416openalex-snapshot
Regression and the Moore-Penrose Pseudoinverse.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Associative Data Storage and Retrieval in Neural Networks
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Lernen mit Hilfe des Maximum-Entropie-Prinzips
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Asymmetrically Diluted Neural Networks
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Spatial and Temporal Transformations in Visuo-Motor Coordination
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Asymmetrically Diluted Neural Networks
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A cognitive and associative memory
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Interfacial properties of a driven diffusive system
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Glauber dynamics of the asymmetric SK-model
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Studies of the dynamic behaviors of a class of learning associative neural networks
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Engineering applications of spin glass concepts
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A proposed generalization of Hopfield's algorithm
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Information processing in biomolecule-based biomimetic systems. From macroscopic to nanoscopic scale
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Fixed points of split quaternionic hopfield neural networks
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Dynamics and statistical mechanics of the Hopfield model
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Sensibility of neural networks
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The roles of stability and symmetry in the dynamics of neural networks
inferred← citeshttps://doi.org/10.1088/0305-4470/21/24/004openalex-snapshot
Spin-glass phase in a neutral network with asymmetric couplings
inferred← citeshttps://doi.org/10.1088/0305-4470/25/15/021openalex-snapshot
A sequential pseudo-inverse learning rule for networks of formal neurons
inferred← citeshttps://doi.org/10.1103/physreva.34.4217openalex-snapshot
Collective computational properties of neural networks: New learning mechanisms
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Neural network with state-dependent synapses
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Neural networks: A local learning prescription for arbitrary correlated patterns
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A learning and forgetting algorithm in associative memories: results involving pseudo-inverses
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A learning and forgetting algorithm in associative memories: the eigenstructure method
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Analysis of chaos phenomena in strong nonlinear synapse neural networks
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Neural network chaos and computational algorithms of forecast in finance
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Chaos in neural networks with bistable dendrite membrane current-voltage relation
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Improvements of Complex-Valued Hopfield Associative Memory by Using Generalized Projection Rules
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An Improvement on the Moore-Penrose Generalized Inverse Associative Memory
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Sequential Learning in the Dense Associative Memory
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Image Reconstruction by the Complex-Valued Neural Networks
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La vie et l’œuvre de Gérard Toulouse
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