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Collective properties of neural networks: A statistical physics approach
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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
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The existence of persistent states in the brain
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Analytic study of the memory storage capacity of a neural network
inferredcites →https://doi.org/10.1016/0025-5564(81)90056-0openalex-snapshot
Neural model with probabilistic firing behavior. I. general considerations.
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inferredcites →https://doi.org/10.1016/0029-5582(62)90022-6openalex-snapshot
Fundamental problems in statistical mechanics
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Statistical mechanics of neocortical interactions
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Solvable spin systems with random interactions
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A Possible Organization of Animal Memory and Learning11This work was supported in part by the US National Science Foundation.
inferredcites →https://doi.org/10.1016/b978-0-12-460350-9.x5001-2openalex-snapshot
Collective Properties of Physical Systems
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Dynamics of neural structures
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Fundamental Problems in Statistical Mechanics
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
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inferredcites →https://doi.org/10.1088/0022-3719/12/21/019openalex-snapshot
Ground-state correlations in the two-dimensional Ising frustration model
inferredcites →https://doi.org/10.1103/physreva.28.395openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevb.17.4384openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevb.28.2547openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.43.1754openalex-snapshot
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inferredcites →https://doi.org/10.1103/physrevlett.49.409openalex-snapshot
Classical Spin-Glass Model
inferredcites →https://doi.org/10.1113/jphysiol.1967.sp008307openalex-snapshot
A study of synaptic transmission in the absence of nerve impulses
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470125939.ch2openalex-snapshot
Artificial Neural Networks and Their use in Chemistry
inferred← citeshttps://doi.org/10.1007/3540532676_38openalex-snapshot
Statistical mechanics for networks of analog neurons
inferred← citeshttps://doi.org/10.1007/3540532676_56openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3540532676_62openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4612-0723-8_1openalex-snapshot
Global Analysis of Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4613-0971-0_33openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4613-0973-4_12openalex-snapshot
A Brief Introduction to Spin Glasses and Related Complex Problems
inferred← citeshttps://doi.org/10.1007/978-1-4613-1017-4_17openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4613-9098-5_16openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4899-2136-9_28openalex-snapshot
Long-Term Behavior of Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-61489-7_1openalex-snapshot
Künstliche neuronale Netze: Ein Überblick über die theoretischen Grundlagen
inferred← citeshttps://doi.org/10.1007/978-3-642-69762-3_2openalex-snapshot
Two Principles for Self-Organization
inferred← citeshttps://doi.org/10.1007/978-3-642-73001-6_2openalex-snapshot
Pattern Recognition in Nonlinear Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-79814-6_1openalex-snapshot
Collective Phenomena in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-79814-6_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-82657-3_3openalex-snapshot
Basic Results for the Behaviour of Discrete Iterations
inferred← citeshttps://doi.org/10.1007/978-3-642-82657-3_39openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-97171-6_1openalex-snapshot
Collective Phenomena in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-97171-6_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-94-009-2991-3_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-94-017-2388-6_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00168045openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00171226openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00216966openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00229788openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00318428openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00337115openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00338818openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00364159openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01020645openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01022994openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01025862openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01311400openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01314534openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01759053openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01794432openalex-snapshot
Large deviation estimates for a conditional probability distribution. Applications to random interaction Gibbs measures
inferred← citeshttps://doi.org/10.1007/bf02178364openalex-snapshot
Macroscopic Lyapunov functions for separable stochastic neural networks with detailed balance
inferred← citeshttps://doi.org/10.1007/bf02846491openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bfb0032506openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bfb0049049openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bfb0057530openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bfb0057531openalex-snapshot
The theory of neural networks: The Hebb rule and beyond
inferred← citeshttps://doi.org/10.1007/bfb0057534openalex-snapshot
Nonlinear neural networks: Efficient storage and retrieval of information
inferred← citeshttps://doi.org/10.1007/bfb0104277openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s004220050550openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10287-019-00357-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10955-026-03679-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0009-2614(93)87130-uopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0020-0255(93)90052-nopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0166-218x(85)90029-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0167-2789(86)90245-9openalex-snapshot
Learning symmetry groups with hidden units: Beyond the perceptron
inferred← citeshttps://doi.org/10.1016/0167-2789(87)90021-2openalex-snapshot
Dynamics of simple electronic neural networks
inferred← citeshttps://doi.org/10.1016/0167-2789(93)90207-hopenalex-snapshot
Two neuron dynamics and adiabatic elimination
inferred← citeshttps://doi.org/10.1016/0167-7322(88)80062-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0167-739x(90)90027-bopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0167-8191(93)90070-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0307-904x(91)90055-topenalex-snapshot
Global behavior of homogeneous random neural systems
inferred← citeshttps://doi.org/10.1016/0370-1573(88)90161-5openalex-snapshot
Statistical mechanics of neural networks
inferred← citeshttps://doi.org/10.1016/0378-4371(93)90565-lopenalex-snapshot
Equilibrium distributions of stochastic networks without detailed balance
inferred← citeshttps://doi.org/10.1016/0378-4371(94)90004-3openalex-snapshot
Memorizing all significant foldings of a random RNA chain
inferred← citeshttps://doi.org/10.1016/0743-7315(91)90110-uopenalex-snapshot
Parallel Boltzmann machines: A mathematical model
inferred← citeshttps://doi.org/10.1016/0893-6080(88)90004-4openalex-snapshot
On the dynamics of memorization processes
inferred← citeshttps://doi.org/10.1016/0893-6080(88)90022-6openalex-snapshot
Statistical neurodynamics of associative memory
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00131-xopenalex-snapshot
Asymptotic Stationarity of Discrete-time Stochastic Neural Networks
inferred← citeshttps://doi.org/10.1016/0895-7177(88)90079-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-185269-6.50038-2openalex-snapshot
Physical Modeling of Neural Networks
inferred← citeshttps://doi.org/10.1016/b978-0-12-484815-3.50028-1openalex-snapshot
Cooperative Stochastic Effects in a Model of a Single Neuron
inferred← citeshttps://doi.org/10.1016/b978-0-444-88035-2.50005-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isci.2024.111390openalex-snapshot
Lattice physics approaches for neural networks
inferred← citeshttps://doi.org/10.1016/j.neunet.2008.04.003openalex-snapshot
Boundary conditions and phase transitions in neural networks. Theoretical results
inferred← citeshttps://doi.org/10.1016/j.physa.2005.12.052openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physa.2026.131497openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.procs.2025.09.288openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0006-3495(87)83310-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0006-3495(88)83041-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0022-5193(86)80106-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0065-2458(08)60167-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0303-2647(01)00180-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0375-9601(01)00568-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0378-4371(02)01528-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80014-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80025-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80042-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0924-6509(08)70035-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s1383-8121(01)80017-8openalex-snapshot
Chapter 14 Statistical mechanics of recurrent neural networks I—Statics
inferred← citeshttps://doi.org/10.1016/s1383-8121(01)80018-xopenalex-snapshot
Chapter 15 Statistical mechanics of recurrent neural networks II — Dynamics
inferred← citeshttps://doi.org/10.1021/acs.chemrev.2c00220openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.nanolett.3c02076openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1009689025427openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1021742025239openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1023088004195openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41467-019-14096-zopenalex-snapshot
Heuristic recurrent algorithms for photonic Ising machines
inferred← citeshttps://doi.org/10.1038/s41524-020-00487-0openalex-snapshot
Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality
inferred← citeshttps://doi.org/10.1051/jphys:0198600470110185700openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/jphys:01987004805074100openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/jphys:0198800490101300openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/jphyslet:01985004608035900openalex-snapshot
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inferred← citeshttps://doi.org/10.1063/5.0084219openalex-snapshot
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inferred← citeshttps://doi.org/10.1073/pnas.83.6.1695openalex-snapshot
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inferred← citeshttps://doi.org/10.1073/pnas.86.1.352openalex-snapshot
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inferred← citeshttps://doi.org/10.1073/pnas.87.1.429openalex-snapshot
A simple model for the immune network.
inferred← citeshttps://doi.org/10.1073/pnas.87.3.988openalex-snapshot
Synchronous neural networks of nonlinear threshold elements with hysteresis.
inferred← citeshttps://doi.org/10.1080/00018732.2017.1341604openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/019697296126471openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/14786435.2011.606238openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0031-8949/39/1/026openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/20/10/036openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/20/12/043openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/20/18/051openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/22/15/026openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/23/10/020openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/23/14/032openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/23/9/024openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/24/1/037openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/24/1/039openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/24/22/025openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/24/5/024openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/25/21/011openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/26/17/014openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/26/4/012openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/26/4/013openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/27/15/017openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/27/17/020openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/27/24/013openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/28/20/006openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/30/10/017openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/30/19/007openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/30/22/028openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/31/20/003openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/33/33/301openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/33/9/309openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/37/24/001openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/37/39/003openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0305-4470/37/6/001openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0954-898x/1/1/007openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/0954-898x/5/2/009openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1742-5468/2005/10/p10009openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8113/41/38/385102openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8113/42/41/415001openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8113/47/10/105001openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8113/49/43/434003openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8121/50/3/033001openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8121/ac9165openalex-snapshot
Dynamics of sparse Boolean networks with multi-node and self-interactions
inferred← citeshttps://doi.org/10.1088/2632-2153/ad5a5fopenalex-snapshot
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inferred← citeshttps://doi.org/10.1093/cercor/bhaa190openalex-snapshot
Connectome Signatures of Hyperexcitation in Cognitively Intact Middle-Aged Female APOE-ε4 Carriers
inferred← citeshttps://doi.org/10.1098/rstb.1991.0050openalex-snapshot
Probabilistic secretion of quanta in the central nervous system: granule cell synaptic control of pattern separation and activity regulation
inferred← citeshttps://doi.org/10.1101/2022.04.28.489908openalex-snapshot
Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain
inferred← citeshttps://doi.org/10.1103/16r5-nddcopenalex-snapshot
Finite-Time Observability of Oscillatory Instabilities in Synchronous p-bit Dynamics
inferred← citeshttps://doi.org/10.1103/physreva.32.1007openalex-snapshot
Spin-glass models of neural networks
inferred← citeshttps://doi.org/10.1103/physreva.34.3435openalex-snapshot
Spin-glass models of a neural network
inferred← citeshttps://doi.org/10.1103/physreva.34.4217openalex-snapshot
Collective computational properties of neural networks: New learning mechanisms
inferred← citeshttps://doi.org/10.1103/physreva.34.714openalex-snapshot
Physicality of the Little model
inferred← citeshttps://doi.org/10.1103/physreva.35.380openalex-snapshot
Associative recall of memory without errors
inferred← citeshttps://doi.org/10.1103/physreva.36.1959openalex-snapshot
Nonlinear neural networks near saturation
inferred← citeshttps://doi.org/10.1103/physreva.36.2475openalex-snapshot
Information storage and retrieval in synchronous neural networks
inferred← citeshttps://doi.org/10.1103/physreva.37.2739openalex-snapshot
Potts-glass models of neural networks
inferred← citeshttps://doi.org/10.1103/physreva.39.347openalex-snapshot
Stability of analog neural networks with delay
inferred← citeshttps://doi.org/10.1103/physreva.43.1079openalex-snapshot
Phase transitions in a dynamic model of neural networks
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.43.7012openalex-snapshot
Statistical-mechanical formulation of the Willshaw model with local inhibition
inferred← citeshttps://doi.org/10.1103/physreva.44.4005openalex-snapshot
Stochastic dynamics of time-summating binary neural networks
inferred← citeshttps://doi.org/10.1103/physreva.45.7549openalex-snapshot
Analysis of quantal synaptic noise in neural networks using iterated function systems
inferred← citeshttps://doi.org/10.1103/physreva.46.1116openalex-snapshot
Control-parameter scaling in a Hopfield-Tank list-matching network
inferred← citeshttps://doi.org/10.1103/physreva.91.043811openalex-snapshot
Statistical physical theory of mode-locking laser generation with a frequency comb
inferred← citeshttps://doi.org/10.1103/physreve.105.014116openalex-snapshot
Quasiequilibrium multistate cellular automata
inferred← citeshttps://doi.org/10.1103/physreve.107.034127openalex-snapshot
Nonequilibrium dynamics of the Ising model on heterogeneous networks with an arbitrary distribution of threshold noise
inferred← citeshttps://doi.org/10.1103/physreve.47.2155openalex-snapshot
Distributed dynamics in neural networks
inferred← citeshttps://doi.org/10.1103/physreve.50.709openalex-snapshot
Mean-field Monte Carlo approach to the Sherrington-Kirkpatrick model with asymmetric couplings
inferred← citeshttps://doi.org/10.1103/physreve.51.738openalex-snapshot
Time structure of the activity in neural network models
inferred← citeshttps://doi.org/10.1103/physreve.55.5849openalex-snapshot
Stimulus-dependent correlations in stochastic networks
inferred← citeshttps://doi.org/10.1103/physreve.55.7344openalex-snapshot
Dynamical phase diagrams of neural networks with asymmetric couplings
inferred← citeshttps://doi.org/10.1103/physreve.61.4235openalex-snapshot
Fisher information and temporal correlations for spiking neurons with stochastic dynamics
inferred← citeshttps://doi.org/10.1103/physreve.87.032131openalex-snapshot
Emergence of equilibriumlike domains within nonequilibrium Ising spin systems
inferred← citeshttps://doi.org/10.1103/physreve.88.062114openalex-snapshot
Conciliating synchronicity with spatial discretization, exclusion, interactions, and detailed balance
inferred← citeshttps://doi.org/10.1103/physreve.90.022118openalex-snapshot
Thermodynamics of the one-dimensional parallel Kawasaki model: Exact solution and mean-field approximations
inferred← citeshttps://doi.org/10.1103/physreve.96.022126openalex-snapshot
Large deviations of the finite-time magnetization of the Curie-Weiss random-field Ising model
inferred← citeshttps://doi.org/10.1103/physreve.99.012316openalex-snapshot
Optimized brute-force algorithms for the bifurcation analysis of a binary neural network model
inferred← citeshttps://doi.org/10.1103/physrevlett.55.1530openalex-snapshot
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
inferred← citeshttps://doi.org/10.1103/physrevlett.58.949openalex-snapshot
Learning of correlated patterns in spin-glass networks by local learning rules
inferred← citeshttps://doi.org/10.1103/physrevlett.61.2809openalex-snapshot
Dynamic Model of Neural Networks
inferred← citeshttps://doi.org/10.1103/physrevlett.66.1370openalex-snapshot
Statistical mechanics of temporal association in neural networks with transmission delays
inferred← citeshttps://doi.org/10.1103/physrevx.13.041043openalex-snapshot
Enhanced Associative Memory, Classification, and Learning with Active Dynamics
inferred← citeshttps://doi.org/10.1103/revmodphys.58.801openalex-snapshot
Spin glasses: Experimental facts, theoretical concepts, and open questions
inferred← citeshttps://doi.org/10.1103/revmodphys.65.499openalex-snapshot
The statistical mechanics of learning a rule
inferred← citeshttps://doi.org/10.1109/18.32122openalex-snapshot
Classification performance of a Hopfield neural network based on a Hebbian-like learning rule
inferred← citeshttps://doi.org/10.1109/18.87009openalex-snapshot
Learning by parallel Boltzmann machines
inferred← citeshttps://doi.org/10.1109/21.105090openalex-snapshot
A probabilistic model of neural networks with static attractors
inferred← citeshttps://doi.org/10.1109/72.165593openalex-snapshot
A parallel network for visual cognition
inferred← citeshttps://doi.org/10.1109/compeng60905.2024.10741409openalex-snapshot
Learning and Unlearning: Bridging classification, memory and generative modeling in Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1109/eurocon.2017.8011193openalex-snapshot
An overview of fastcinating ideas on complexity and complex networks and systems in computational cybernetics: Dedicated to Prof. Rudoplh E. Kalman, a giant of systems and control sciences, who past away on July 3, 2016: Jean Jacques Russeaux: “Who dares to say — this far man can go but not a step…
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