On the public citation graph

Information processing in three-state neural networks

https://doi.org/10.1007/bf01041070
0 signed · 86 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4613-0411-1_12openalex-snapshot
The Existence of Persistent States in the Brain
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00274806openalex-snapshot
A method of statistical neurodynamics
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf01022994openalex-snapshot
Nonlinear neural networks. I. General theory
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1007/bfb0057529openalex-snapshot
Spin-glasses, optimization and neural networks
inferredcites →https://doi.org/10.1007/bfb0057530openalex-snapshot
The properties of models of simple neural networks
inferredcites →https://doi.org/10.1007/bfb0057531openalex-snapshot
The theory of neural networks: The Hebb rule and beyond
inferredcites →https://doi.org/10.1007/bfb0057532openalex-snapshot
Neural networks with asymmetric bonds
inferredcites →https://doi.org/10.1007/bfb0116397openalex-snapshot
The Connection Machine
inferredcites →https://doi.org/10.1016/0003-4916(87)90092-3openalex-snapshot
Statistical mechanics of neural networks near saturation
inferredcites →https://doi.org/10.1016/0004-3702(84)90052-3openalex-snapshot
Parameter nets
inferredcites →https://doi.org/10.1016/0025-5564(74)90031-5openalex-snapshot
The existence of persistent states in the brain
inferredcites →https://doi.org/10.1016/0167-2789(86)90242-3openalex-snapshot
Neural network models of learning and adaptation
inferredcites →https://doi.org/10.1016/b978-0-12-064470-4.50012-0openalex-snapshot
Optical Implementation of Neural Computers
inferredcites →https://doi.org/10.1016/s0361-9230(99)00182-3openalex-snapshot
D.O. Hebb: The Organization of Behavior, Wiley: New York; 1949
inferredcites →https://doi.org/10.1038/304158a0openalex-snapshot
‘Unlearning’ has a stabilizing effect in collective memories
inferredcites →https://doi.org/10.1051/jphys:019850046080129300openalex-snapshot
The microstructure of ultrametricity
inferredcites →https://doi.org/10.1051/jphys:0198600470110185700openalex-snapshot
The ultrametric organization of memories in a neural network
inferredcites →https://doi.org/10.1051/jphys:019860047090145700openalex-snapshot
Solvable models of working memories
inferredcites →https://doi.org/10.1051/jphys:0198800490101300openalex-snapshot
Information processing in synchronous neural networks
inferredcites →https://doi.org/10.1051/jphys:01988004905071100openalex-snapshot
On learning rules and memory storage abilities of asymmetrical neural networks
inferredcites →https://doi.org/10.1051/jphyslet:01985004608035900openalex-snapshot
Information storage and retrieval in spin-glass like neural networks
inferredcites →https://doi.org/10.1063/1.2811676openalex-snapshot
Spin Glass Theory and Beyond
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/10.1088/0305-4470/19/11/005openalex-snapshot
inferredcites →https://doi.org/10.1088/0305-4470/19/16/017openalex-snapshot
Structure of metastable states in the Hopfield model
inferredcites →https://doi.org/10.1088/0305-4470/21/1/030openalex-snapshot
The space of interactions in neural network models
inferredcites →https://doi.org/10.1088/0305-4470/21/15/016openalex-snapshot
Partially connected models of neural networks
inferredcites →https://doi.org/10.1103/physreva.35.2293openalex-snapshot
Information storage in neural networks with low levels of activity
inferredcites →https://doi.org/10.1103/physreva.37.570openalex-snapshot
Neural networks with hierarchically correlated patterns
inferredcites →https://doi.org/10.1103/physrevlett.56.1505openalex-snapshot
Lattice-Gas Automata for the Navier-Stokes Equation
inferredcites →https://doi.org/10.1109/ijcnn.1989.118686openalex-snapshot
A geometric approach to learning in neural networks
inferredcites →https://doi.org/10.1109/proc.1971.8087openalex-snapshot
Characteristics of randomly connected threshold-element networks and network systems
inferredcites →https://doi.org/10.1109/tc.1972.5008975openalex-snapshot
Correlation Matrix Memories
inferredcites →https://doi.org/10.1109/tc.1973.5009138openalex-snapshot
Representation of Associated Data by Matrix Operators
inferredcites →https://doi.org/10.1117/12.940062openalex-snapshot
Optical Bidirectional Associative Memories
inferredcites →https://doi.org/10.1142/0271openalex-snapshot
Spin Glass Theory and Beyond
inferredcites →https://doi.org/10.1142/s0217979287000050openalex-snapshot
THE AUGMENTED MODELS OF ASSOCIATIVE MEMORY ASYMMETRIC INTERACTION AND HIERARCHY OF PATTERNS
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/10.1209/0295-5075/4/2/007openalex-snapshot
An Exactly Solvable Asymmetric Neural Network Model
inferredcites →https://doi.org/10.1209/0295-5075/4/8/001openalex-snapshot
High-Order Neural Networks: Information Storage without Errors
inferredcites →https://doi.org/10.1209/0295-5075/7/3/002openalex-snapshot
Storages Properties of Randomly Connected Boolean Neural Networks for Associative Memory
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.2307/2312103openalex-snapshot
Principles of Neurodynamics.
inferredcites →https://doi.org/10.4324/9781410612403openalex-snapshot
The Organization of Behavior
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing

What points at this work

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

inferred← citeshttps://doi.org/10.1007/3540532676_38openalex-snapshot
Statistical mechanics for networks of analog neurons
inferred← citeshttps://doi.org/10.1007/3540532676_39openalex-snapshot
Properties of neural networks with multi-state neurons
inferred← citeshttps://doi.org/10.1007/978-3-642-79814-6_1openalex-snapshot
Collective Phenomena in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-97171-6_1openalex-snapshot
Collective Phenomena in Neural Networks
inferred← citeshttps://doi.org/10.1007/bf01049424openalex-snapshot
On the parallel dynamics of theQ-state Potts andQ-Ising neural networks
inferred← citeshttps://doi.org/10.1007/bf01470923openalex-snapshot
Learning withQ-state clock neurons
inferred← citeshttps://doi.org/10.1007/s10114-011-0598-2openalex-snapshot
Towards a unified recurrent neural network theory: The uniformly pseudo-projection-anti-monotone net
inferred← citeshttps://doi.org/10.1016/0378-4371(94)00058-1openalex-snapshot
On the parallel dynamics of the diluted clock neural network
inferred← citeshttps://doi.org/10.1016/j.physa.2005.12.056openalex-snapshot
Dynamics of three-state excitable units on Poisson vs. power-law random networks
inferred← citeshttps://doi.org/10.1016/s1874-5946(98)80070-9openalex-snapshot
Multilevel neurons
inferred← citeshttps://doi.org/10.1073/pnas.1902653116openalex-snapshot
Robust computation with rhythmic spike patterns
inferred← citeshttps://doi.org/10.1088/0305-4470/23/23/015openalex-snapshot
Storing an extensive number of grey-toned patterns in a neural network using multistate neurons
inferred← citeshttps://doi.org/10.1088/0305-4470/23/9/024openalex-snapshot
Two-state representations of three-state neural networks
inferred← citeshttps://doi.org/10.1088/0305-4470/24/11/011openalex-snapshot
Main overlap dynamics for multistate neural networks
inferred← citeshttps://doi.org/10.1088/0305-4470/24/5/021openalex-snapshot
Stability properties of Potts neural networks with biased patterns and low loading
inferred← citeshttps://doi.org/10.1088/0305-4470/25/10/014openalex-snapshot
On the overlap dynamics of multi-state neural networks with a finite number of patterns
inferred← citeshttps://doi.org/10.1088/0305-4470/27/10/018openalex-snapshot
Thermodynamic properties of fully connected Q-Ising neural networks
inferred← citeshttps://doi.org/10.1088/0305-4470/29/4/006openalex-snapshot
Generalization in a multi-state neural network
inferred← citeshttps://doi.org/10.1088/0305-4470/30/5/011openalex-snapshot
Generalization and chaos in a layered neural network
inferred← citeshttps://doi.org/10.1088/1742-5468/2008/06/p06002openalex-snapshot
Controlling the dynamics of multi-state neural networks
inferred← citeshttps://doi.org/10.1103/physreva.41.3355openalex-snapshot
Associative memory in an analog iterated-map neural network
inferred← citeshttps://doi.org/10.1103/physreva.43.2084openalex-snapshot
Statistical mechanics for networks of graded-response neurons
inferred← citeshttps://doi.org/10.1103/physreva.45.4194openalex-snapshot
Thermodynamic properties of theQ-state Potts-glass neural network
inferred← citeshttps://doi.org/10.1103/physreve.47.1397openalex-snapshot
Basin of attraction in networks of multistate neurons
inferred← citeshttps://doi.org/10.1103/physreve.54.4066openalex-snapshot
Inference and chaos by a network of nonmonotonic neurons
inferred← citeshttps://doi.org/10.1103/physreve.56.7306openalex-snapshot
Categorization by a three-state attractor neural network
inferred← citeshttps://doi.org/10.1103/physreve.59.947openalex-snapshot
Optimally adapted multistate neural networks trained with noise
inferred← citeshttps://doi.org/10.1103/physreve.60.7321openalex-snapshot
Categorization in fully connected multistate neural network models
inferred← citeshttps://doi.org/10.1103/physreve.62.2620openalex-snapshot
Three-state neural network: From mutual information to the Hamiltonian
inferred← citeshttps://doi.org/10.1103/physreve.64.061902openalex-snapshot
Retrieval behavior and thermodynamic properties of symmetrically dilutedQ-Ising neural networks
inferred← citeshttps://doi.org/10.1103/physreve.82.026114openalex-snapshot
q -state Potts-glass neural network based on pseudoinverse rule
inferred← citeshttps://doi.org/10.1109/18.165439openalex-snapshot
Lower bounds on the capacities of binary and ternary networks storing sparse random vectors
inferred← citeshttps://doi.org/10.1109/18.312165openalex-snapshot
Corrective memory by a symmetric sparsely encoded network
inferred← citeshttps://doi.org/10.1109/72.363445openalex-snapshot
Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons
inferred← citeshttps://doi.org/10.1109/72.363470openalex-snapshot
High-capacity Hebbian storage by sparse sampling
inferred← citeshttps://doi.org/10.1109/icpr.2010.1095openalex-snapshot
Image Parsing with a Three-State Series Neural Network Classifier
inferred← citeshttps://doi.org/10.1209/0295-5075/15/8/015openalex-snapshot
The Optimal Storage Capacity for a Neural Network with Multi-State Neurons
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.