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https://doi.org/10.1103/PhysRevE.104.045313

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https://doi.org/10.2139/ssrn.3817718

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https://doi.org/10.1088/1742-5468/ab11e3

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https://doi.org/10.1016/j.physa.2009.08.004

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Physical Review E 72 (4) (2005)
https://doi.org/10.1103/PhysRevE.72.041913

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Journal of Physics A: Mathematical and General 37 (25) 6437 (2004)
https://doi.org/10.1088/0305-4470/37/25/002

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https://doi.org/10.1088/0305-4470/34/13/303

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Journal of the Physical Society of Japan 70 (5) 1300 (2001)
https://doi.org/10.1143/JPSJ.70.1300

Retrieval Properties of a Hopfield Model with Random Asymmetric Interactions

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Neural Computation 12 (4) 865 (2000)
https://doi.org/10.1162/089976600300015628

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https://doi.org/10.1088/0305-4470/31/20/003

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https://doi.org/10.1088/0305-4470/31/36/004

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Network: Computation in Neural Systems 9 (4) 563 (1998)
https://doi.org/10.1088/0954-898X/9/4/010

Local instability and oscillations of trajectories in a diluted symmetric neural network

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Network: Computation in Neural Systems 9 (4) 563 (1998)
https://doi.org/10.1088/0954-898X_9_4_010

Effect of random synaptic dilution on recalling dynamics in an oscillator neural network

Katsunori Kitano and Toshio Aoyagi
Physical Review E 57 (5) 5914 (1998)
https://doi.org/10.1103/PhysRevE.57.5914

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G Iori and E Marinari
Journal of Physics A: Mathematical and General 30 (13) 4489 (1997)
https://doi.org/10.1088/0305-4470/30/13/007

Auto-associative memory with two-stage dynamics of nonmonotonic neurons

H.-F. Yanai and S.-I. Amari
IEEE Transactions on Neural Networks 7 (4) 803 (1996)
https://doi.org/10.1109/72.508925

New results on core excited N2O obtained by electron–ion coincidence spectroscopya)

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Review of Scientific Instruments 67 (2) 358 (1996)
https://doi.org/10.1063/1.1146595

On the short-time dynamics of networks of Hebbian coupled oscillators

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https://doi.org/10.1088/0305-4470/29/1/002

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Neural Networks 9 (5) 737 (1996)
https://doi.org/10.1016/0893-6080(95)00057-7

Dynamics of Ising random-bond models: neural network and random-anisotropy-axis model

D R C Dominguez and W K Theumann
Journal of Physics A: Mathematical and General 28 (1) 63 (1995)
https://doi.org/10.1088/0305-4470/28/1/013

Statistical mechanics of a multiconnected Hopfield neural-network model in a transverse field

Yu-qiang Ma and Chang-de Gong
Physical Review E 51 (2) 1573 (1995)
https://doi.org/10.1103/PhysRevE.51.1573

Mean-field Monte Carlo approach to the Sherrington-Kirkpatrick model with asymmetric couplings

H. Eissfeller and M. Opper
Physical Review E 50 (2) 709 (1994)
https://doi.org/10.1103/PhysRevE.50.709

On the parallel dynamics of the diluted clock neural network

Daniel Gandolfo, Jean Ruiz and Valentin A. Zagrebnov
Physica A: Statistical Mechanics and its Applications 208 (3-4) 305 (1994)
https://doi.org/10.1016/0378-4371(94)00058-1

Retrieval and chaos in layeredQ-Ising neural networks

D. Bollé, G. M. Shim and B. Vinck
Journal of Statistical Physics 74 (3-4) 583 (1994)
https://doi.org/10.1007/BF02188572

The replica-symmetry-breaking solution of the Hopfield model at zero temperature: critical storage capacity and frozen field distribution

K Tokita
Journal of Physics A: Mathematical and General 27 (13) 4413 (1994)
https://doi.org/10.1088/0305-4470/27/13/016

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M Shiino and T Fukai
Journal of Physics A: Mathematical and General 26 (17) L831 (1993)
https://doi.org/10.1088/0305-4470/26/17/014

Remanent Overlaps in the Hopfield Model with Zero Temperature Sequential Dynamics

K. Tokita
Progress of Theoretical Physics 90 (2) 329 (1993)
https://doi.org/10.1143/ptp/90.2.329

Subtle dynamic behaviour of finite-size Sherrington-Kirkpatrick spin glasses with nonsymmetric couplings

K Nutzel and U Krey
Journal of Physics A: Mathematical and General 26 (14) L591 (1993)
https://doi.org/10.1088/0305-4470/26/14/001

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A C C Coolen and L G V M Lenders
Journal of Physics A: Mathematical and General 25 (9) 2577 (1992)
https://doi.org/10.1088/0305-4470/25/9/028

Remanence effects in symmetric and asymmetric spin glass models

M. Schreckenberg and H. Rieger
Zeitschrift f�r Physik B Condensed Matter 86 (3) 443 (1992)
https://doi.org/10.1007/BF01323738

Competition between Hopfield and symmetry transform interactions in a neural net

M R Evans, D J Wallace and C Zhan
Journal of Physics A: Mathematical and General 24 (18) 4445 (1991)
https://doi.org/10.1088/0305-4470/24/18/028

Parallel dynamics of the neural network with the pseudoinverse coupling matrix

R D Henkel and M Opper
Journal of Physics A: Mathematical and General 24 (9) 2201 (1991)
https://doi.org/10.1088/0305-4470/24/9/026

External fields in attractor neural networks with different learning rules

A Rau, D Sherrington and K Y M Wong
Journal of Physics A: Mathematical and General 24 (1) 313 (1991)
https://doi.org/10.1088/0305-4470/24/1/037

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T B Kepler
Journal of Physics A: Mathematical and General 24 (5) 1083 (1991)
https://doi.org/10.1088/0305-4470/24/5/022

On the parallel dynamics for the Little-Hopfield model

A. E. Patrick and V. A. Zagrebnov
Journal of Statistical Physics 63 (1-2) 59 (1991)
https://doi.org/10.1007/BF01026592

A probabilistic approach to parallel dynamics for the Little-Hopfield model

A E Patrick and V A Zagrebnov
Journal of Physics A: Mathematical and General 24 (14) 3413 (1991)
https://doi.org/10.1088/0305-4470/24/14/028

Retrieval phase diagrams for attractor neural networks with optimal interactions

D J Amit, M R Evans, H Horner and K Y M Wong
Journal of Physics A: Mathematical and General 23 (14) 3361 (1990)
https://doi.org/10.1088/0305-4470/23/14/032

Theory of associative memory in randomly connected Boolean neural networks

K Y M Wong and D Sherrington
Journal of Physics A: Mathematical and General 22 (12) 2233 (1989)
https://doi.org/10.1088/0305-4470/22/12/022