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Models of neural networks

https://doi.org/10.1007/bfb0009216
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What this work says

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/10.1007/978-3-642-53170-5openalex-snapshot
Automat und Mensch
inferredcites →https://doi.org/10.1007/978-3-642-70795-7_5openalex-snapshot
Investigation of a Small Volume of Neocortex with Multiple Microelectrodes: Evidence for Principles of Self-Organization
inferredcites →https://doi.org/10.1007/978-3-642-70795-7_7openalex-snapshot
Spin Glasses as Model Systems for Neural Networks
inferredcites →https://doi.org/10.1007/978-3-662-00784-6openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00317939openalex-snapshot
Collective properties of neural networks: A statistical physics approach
inferredcites →https://doi.org/10.1007/bf00337019openalex-snapshot
On associative memory
inferredcites →https://doi.org/10.1007/bf01071380openalex-snapshot
Principles of neurodynamics
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/10.1038/264705a0openalex-snapshot
Selective stabilisation of developing synapses as a mechanism for the specification of neuronal networks
inferredcites →https://doi.org/10.1038/323486a0openalex-snapshot
Cognition: Parallel distributed processing
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1063/1.3058085openalex-snapshot
Automat und Mensch
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/10.1088/0305-4608/5/5/017openalex-snapshot
Theory of spin glasses
inferredcites →https://doi.org/10.1103/physreva.34.2509openalex-snapshot
Chopper model of pattern recognition
inferredcites →https://doi.org/10.1103/physrevb.33.5086openalex-snapshot
Remanent magnetization of the infinite-range Ising spin glass
inferredcites →https://doi.org/10.1103/physrevlett.35.1792openalex-snapshot
Solvable Model of a Spin-Glass
inferredcites →https://doi.org/10.1103/physrevlett.52.1048openalex-snapshot
Adaptation and Self-Repair in Parallel Computing Structures
inferredcites →https://doi.org/10.1103/physrevlett.55.1530openalex-snapshot
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
inferredcites →https://doi.org/10.1103/physrevlett.56.1094openalex-snapshot
Collective Detection of Motion in the Presence of Noise
inferredcites →https://doi.org/10.1103/revmodphys.34.123openalex-snapshot
The Perceptron: A Model for Brain Functioning. I
inferredcites →https://doi.org/10.1126/science.3488590openalex-snapshot
Double-Labeled Metabolic Maps of Memory
inferredcites →https://doi.org/10.1209/0295-5075/1/10/008openalex-snapshot
Networks of Formal Neurons and Memory Palimpsests
inferredcites →https://doi.org/10.1209/0295-5075/2/3/003openalex-snapshot
Storing and Retrieving Information in a Layered Spin System
inferredcites →https://doi.org/10.1209/0295-5075/2/4/012openalex-snapshot
Saturation Level of the Hopfield Model for Neural Network
inferredcites →https://doi.org/10.2307/2312103openalex-snapshot
Principles of Neurodynamics.

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-540-29678-2_2openalex-snapshot
5 Untranslated Region (5 UTR)
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00113-1openalex-snapshot
Using Features for the Storage of Patterns in a Fully Connected Net
inferred← citeshttps://doi.org/10.1080/09540090110063507openalex-snapshot
Binding and multiple instantiation in a distributed network of spiking nodes
inferred← citeshttps://doi.org/10.1080/13506280143000106openalex-snapshot
Objective assessment of the functional role of spike train correlations using information measures
inferred← citeshttps://doi.org/10.1080/13642819808205048openalex-snapshot
Learning and generalization in higher-order perceptrons
inferred← citeshttps://doi.org/10.1088/0305-4470/27/22/012openalex-snapshot
Storage capacity and optimal learning of Potts-model perceptrons by a cavity method
inferred← citeshttps://doi.org/10.1103/physreve.64.011915openalex-snapshot
Optimal colored perceptrons
inferred← citeshttps://doi.org/10.1134/s1054661809020126openalex-snapshot
A vector model of associative memory with clipped synapses
inferred← citeshttps://doi.org/10.1186/1687-1847-2014-60openalex-snapshot
The bistability of higher-order differences of discrete periodic signals
inferred← citeshttps://doi.org/10.1209/0295-5075/20/8/012openalex-snapshot
On-Line Learning of a Time-Dependent Rule
inferred← citeshttps://doi.org/10.54886/scire.v1i1.1036openalex-snapshot
Fundamentos de redes neuronales artificiales: hardware y software
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