La fonctionnalité Article cité par… liste les citations d'un article. Ces citations proviennent de la base de données des articles de EDP Sciences, ainsi que des bases de données d'autres éditeurs participant au programme strong>CrossRef Cited-by Linking Program. Vous pouvez définir une alerte courriel pour être prévenu de la parution d'un nouvel article citant " cet article (voir sur la page du résumé de l'article le menu à droite).
Article cité :
M. Mézard, J.P. Nadal, G. Toulouse
J. Phys. France, 47 9 (1986) 1457-1462
Citations de cet article :
Response
: Computing with Neural Networks
John J. Hopfield and David W. Tank
Science 235 (4793) 1228 (1987)
DOI: 10.1126/science.235.4793.1228
Voir cet article
Inhomogeneities in Heteroassociative Memories with Linear Learning Rules
David C. Sterratt and David Willshaw
Neural Computation 20 (2) 311 (2008)
DOI: 10.1162/neco.2007.08-06-301
Voir cet article
Layered feed-forward neural network with exactly soluble dynamics
Ronny Meir and Eytan Domany
Physical Review A 37 (2) 608 (1988)
DOI: 10.1103/PhysRevA.37.608
Voir cet article
Potts-glass models of neural networks
Ido Kanter
Physical Review A 37 (7) 2739 (1988)
DOI: 10.1103/PhysRevA.37.2739
Voir cet article
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Michael Biehl, Fthi Abadi, Christina Göpfert and Barbara Hammer
Advances in Intelligent Systems and Computing, Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization 976 210 (2020)
DOI: 10.1007/978-3-030-19642-4_21
Voir cet article
Introduction to neural network models
B. Derrida
Nuclear Physics B - Proceedings Supplements 4 673 (1988)
DOI: 10.1016/0920-5632(88)90175-2
Voir cet article
Soft-bound Synaptic Plasticity Increases Storage Capacity
Mark C. W. van Rossum, Maria Shippi, Adam B. Barrett and Peter E. Latham
PLoS Computational Biology 8 (12) e1002836 (2012)
DOI: 10.1371/journal.pcbi.1002836
Voir cet article
Retrieval Properties of Neural Networks with Infinitely Many Marked Patterns
S Nicolis
Europhysics Letters (EPL) 12 (7) 583 (1990)
DOI: 10.1209/0295-5075/12/7/002
Voir cet article
Paramagnetic unlearning in neural network models
Kazuo Nokura
Physical Review E 54 (5) 5571 (1996)
DOI: 10.1103/PhysRevE.54.5571
Voir cet article
Maximum Storage Capacity in Neural Networks
E Gardner
Europhysics Letters (EPL) 4 (4) 481 (1987)
DOI: 10.1209/0295-5075/4/4/016
Voir cet article
Information storage in neural networks with low levels of activity
Daniel J. Amit, Hanoch Gutfreund and H. Sompolinsky
Physical Review A 35 (5) 2293 (1987)
DOI: 10.1103/PhysRevA.35.2293
Voir cet article
Domain Theory in Learning Processes
A. Edalat
Electronic Notes in Theoretical Computer Science 1 114 (1995)
DOI: 10.1016/S1571-0661(04)80007-0
Voir cet article
Associative Memory for Online Learning in Noisy Environments Using Self-Organizing Incremental Neural Network
A. Sudo, A. Sato and O. Hasegawa
IEEE Transactions on Neural Networks 20 (6) 964 (2009)
DOI: 10.1109/TNN.2009.2014374
Voir cet article
Principal component analysis for fermionic critical points
Natanael C. Costa, Wenjian Hu, Z. J. Bai, Richard T. Scalettar and Rajiv R. P. Singh
Physical Review B 96 (19) (2017)
DOI: 10.1103/PhysRevB.96.195138
Voir cet article
Recall of old and recent information
Vipin Srivastava, Meena Vipin and Enzo Granato
Network: Computation in Neural Systems 9 (2) 159 (1998)
DOI: 10.1088/0954-898X_9_2_001
Voir cet article
A memory model with novel behaviour in sequential learning
P E Kahn, K Y M Wong and D Sherrington
Network: Computation in Neural Systems 6 (3) 415 (1995)
DOI: 10.1088/0954-898X_6_3_007
Voir cet article
Constraints on learning in dynamic synapses
Daniel J Amit and Stefano Fusi
Network: Computation in Neural Systems 3 (4) 443 (1992)
DOI: 10.1088/0954-898X_3_4_008
Voir cet article
Effects of temporary synaptic strengthening and residual cell potential in the retrieval of patterns
Tohru Nakano and Osamu Moriyama
Network: Computation in Neural Systems 5 (2) 229 (1994)
DOI: 10.1088/0954-898X_5_2_007
Voir cet article
Learning in neural network memories
L F Abbott
Network: Computation in Neural Systems 1 (1) 105 (1990)
DOI: 10.1088/0954-898X_1_1_008
Voir cet article
Neural network models of list learning
Neil Burgess, J L Shapiro and M A Moore
Network: Computation in Neural Systems 2 (4) 399 (1991)
DOI: 10.1088/0954-898X_2_4_005
Voir cet article
Memory maintenance in neural networks
S Shinomoto
Journal of Physics A: Mathematical and General 20 (18) L1305 (1987)
DOI: 10.1088/0305-4470/20/18/015
Voir cet article
Categorization in a Hopfield network trained with weighted examples: Extensive number of concepts
Rogério L. Costa and Alba Theumann
Physical Review E 61 (5) 4860 (2000)
DOI: 10.1103/PhysRevE.61.4860
Voir cet article
Spin glass model for a neural network : associative memories stored with unequal weights
L. Viana
Journal de Physique 49 (2) 167 (1988)
DOI: 10.1051/jphys:01988004902016700
Voir cet article
Computational modelling of memory retention from synapse to behaviour
Mark C W van Rossum and Maria Shippi
Journal of Statistical Mechanics: Theory and Experiment 2013 (03) P03007 (2013)
DOI: 10.1088/1742-5468/2013/03/P03007
Voir cet article
Spin glasses and neural networks
Nestor Parga
Nuclear Physics B - Proceedings Supplements 10 (1) 332 (1989)
DOI: 10.1016/0920-5632(89)90071-6
Voir cet article
The statistical mechanics of learning a rule
Timothy L. H. Watkin, Albrecht Rau and Michael Biehl
Reviews of Modern Physics 65 (2) 499 (1993)
DOI: 10.1103/RevModPhys.65.499
Voir cet article
A property of neural networks of associative memory with replacing units
Akira Date and Koji Kurata
Artificial Life and Robotics 12 (1-2) 291 (2008)
DOI: 10.1007/s10015-007-0484-2
Voir cet article
Neural network with hierarchical clustering near saturation
M A Pires Idiart and A Theumann
Journal of Physics A: Mathematical and General 25 (4) 779 (1992)
DOI: 10.1088/0305-4470/25/4/017
Voir cet article
Hierarchical associative networks
C Cortes, A Krogh and J A Hertz
Journal of Physics A: Mathematical and General 20 (13) 4449 (1987)
DOI: 10.1088/0305-4470/20/13/044
Voir cet article
Categorization in a Hopfield network trained with weighted examples. (I). Finite number of concepts
Rogério L. Costa and Alba Theumann
Physica A: Statistical Mechanics and its Applications 268 (3-4) 499 (1999)
DOI: 10.1016/S0378-4371(99)00043-6
Voir cet article
Embedding Responses in Spontaneous Neural Activity Shaped through Sequential Learning
Tomoki Kurikawa, Kunihiko Kaneko and Tim Behrens
PLoS Computational Biology 9 (3) e1002943 (2013)
DOI: 10.1371/journal.pcbi.1002943
Voir cet article
Neuronal models of cognitive functions
Jean-Pierre Changeux and Stanislas Dehaene
Cognition 33 (1-2) 63 (1989)
DOI: 10.1016/0010-0277(89)90006-1
Voir cet article
A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks
Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina and Peter E. Latham
PLOS Computational Biology 11 (8) e1004439 (2015)
DOI: 10.1371/journal.pcbi.1004439
Voir cet article
Properties of Hopfield model with the zero-order synaptic decay
Ryota Miyata, Toru Aonishi, Jun Tsuzurugi and Koji Kurata
Artificial Life and Robotics 17 (1) 163 (2012)
DOI: 10.1007/s10015-012-0033-5
Voir cet article
Memory capacity of neural networks learning within bounds
Mirta B. Gordon
Journal de Physique 48 (12) 2053 (1987)
DOI: 10.1051/jphys:0198700480120205300
Voir cet article
Neural networks as models of associative memories
N. Parga
Computer Physics Communications 55 (1) 77 (1989)
DOI: 10.1016/0010-4655(89)90065-9
Voir cet article
Multifractality in forgetful memories
U. Behn, J.L. van Hemmen, R. Kühn, A. Lange and V.A. Zagrebnov
Physica D: Nonlinear Phenomena 68 (3-4) 401 (1993)
DOI: 10.1016/0167-2789(93)90133-L
Voir cet article
Methods and Models in Neurophysics, École d' été de Physique des Houches Session LXXX
Nicolas Brunel
Les Houches, Methods and Models in Neurophysics, École d' été de Physique des Houches Session LXXX 80 407 (2005)
DOI: 10.1016/S0924-8099(05)80016-2
Voir cet article
Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
PLoS Computational Biology 9 (10) e1003307 (2013)
DOI: 10.1371/journal.pcbi.1003307
Voir cet article
Dynamics and statistical mechanics of the Hopfield model
A D Bruce, E J Gardner and D J Wallace
Journal of Physics A: Mathematical and General 20 (10) 2909 (1987)
DOI: 10.1088/0305-4470/20/10/035
Voir cet article
Forgetting Memories and Their Attractiveness
Enzo Marinari
Neural Computation 31 (3) 503 (2019)
DOI: 10.1162/neco_a_01162
Voir cet article
Stochastic neural networks with the weighted Hebb rule
Caren Marzban and Raju Viswanathan
Physics Letters A 191 (1-2) 127 (1994)
DOI: 10.1016/0375-9601(94)90570-3
Voir cet article
Neural networks as content addressable memories and learning machines
Roland Köberle
Computer Physics Communications 56 (1) 43 (1989)
DOI: 10.1016/0010-4655(89)90051-9
Voir cet article
Iterated learning in a layered feed-forward neural network
Ronny Meir and Eytan Domany
Physical Review A 37 (7) 2660 (1988)
DOI: 10.1103/PhysRevA.37.2660
Voir cet article
Time scales of memory, learning, and plasticity
Christian Tetzlaff, Christoph Kolodziejski, Irene Markelic and Florentin Wörgötter
Biological Cybernetics 106 (11-12) 715 (2012)
DOI: 10.1007/s00422-012-0529-z
Voir cet article
Self-consistent signal-to-noise analysis of Hopfield model with unit replacement
Toru Aonishi, Yasunao Komatsu and Koji Kurata
Neural Networks 23 (10) 1180 (2010)
DOI: 10.1016/j.neunet.2010.06.006
Voir cet article
Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model
Ehsan Khatami
Journal of Physics: Conference Series 1290 (1) 012006 (2019)
DOI: 10.1088/1742-6596/1290/1/012006
Voir cet article
Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data
Ulises Pereira and Nicolas Brunel
Neuron 99 (1) 227 (2018)
DOI: 10.1016/j.neuron.2018.05.038
Voir cet article
A Short-Term Neural Network Memory
Robert J. T. Morris and Wing Shing Wong
SIAM Journal on Computing 17 (6) 1103 (1988)
DOI: 10.1137/0217071
Voir cet article
Enhancing the learning of a finite number of patterns in neural networks
J F Fontanari and R Koberle
Journal of Physics A: Mathematical and General 21 (4) L253 (1988)
DOI: 10.1088/0305-4470/21/4/012
Voir cet article
Statistical Mechanics of On-Line Learning Under Concept Drift
Michiel Straat, Fthi Abadi, Christina Göpfert, Barbara Hammer and Michael Biehl
Entropy 20 (10) 775 (2018)
DOI: 10.3390/e20100775
Voir cet article
ICANN ’93
Shotaro Akaho
ICANN ’93 707 (1993)
DOI: 10.1007/978-1-4471-2063-6_198
Voir cet article
Recall of old and recent information
Vipin Srivastava, Meena Vipin and Enzo Granato
Network: Computation in Neural Systems 9 (2) 159 (1998)
DOI: 10.1088/0954-898X/9/2/001
Voir cet article
Storing patterns in a spin-glass model of neural networks nears saturation
D Grensing, R Kuhn and J L van Hemmen
Journal of Physics A: Mathematical and General 20 (10) 2935 (1987)
DOI: 10.1088/0305-4470/20/10/036
Voir cet article
Relative stability in the dynamics of a two-pattern neural net
F Pazmandi and T Geszti
Journal of Physics A: Mathematical and General 22 (23) 5117 (1989)
DOI: 10.1088/0305-4470/22/23/016
Voir cet article
Effects of temporary synaptic strengthening and residual cell potential in the retrieval of patterns
Tohru Nakano and Osamu Moriyama
Network: Computation in Neural Systems 5 (2) 229 (1994)
DOI: 10.1088/0954-898X/5/2/007
Voir cet article
Constraints on learning in dynamic synapses
Daniel Amit and Stefano Fusi
Network: Computation in Neural Systems 3 (4) 443 (1992)
DOI: 10.1088/0954-898X/3/4/008
Voir cet article
Neural network models of list learning
Neil Burgess, J Shapiro and M Moore
Network: Computation in Neural Systems 2 (4) 399 (1991)
DOI: 10.1088/0954-898X/2/4/005
Voir cet article
Learning in neural network memories
L Abbott
Network: Computation in Neural Systems 1 (1) 105 (1990)
DOI: 10.1088/0954-898X/1/1/008
Voir cet article
Selective pattern recall in neural networks by chemical modulation
A C C Coolen and A J Noest
Journal of Physics A: Mathematical and General 23 (4) 575 (1990)
DOI: 10.1088/0305-4470/23/4/026
Voir cet article
Unsupervised dynamic learning in layered neural networks
H J J Jonker and A C C Coolen
Journal of Physics A: Mathematical and General 24 (17) 4219 (1991)
DOI: 10.1088/0305-4470/24/17/032
Voir cet article
Learning drifting concepts with neural networks
M Biehl and H Schwarze
Journal of Physics A: Mathematical and General 26 (11) 2651 (1993)
DOI: 10.1088/0305-4470/26/11/014
Voir cet article
Storing extensively many weighted patterns in a saturated neural network
J L van Hemmen and V A Zagrebnov
Journal of Physics A: Mathematical and General 20 (12) 3989 (1987)
DOI: 10.1088/0305-4470/20/12/043
Voir cet article
Optimal storage properties of neural network models
E Gardner and B Derrida
Journal of Physics A: Mathematical and General 21 (1) 271 (1988)
DOI: 10.1088/0305-4470/21/1/031
Voir cet article
Content-addressability and learning in neural networks
B M Forrest
Journal of Physics A: Mathematical and General 21 (1) 245 (1988)
DOI: 10.1088/0305-4470/21/1/029
Voir cet article
A memory model with novel behaviour in sequential learning
P Kahn, K Wong and D Sherrington
Network: Computation in Neural Systems 6 (3) 415 (1995)
DOI: 10.1088/0954-898X/6/3/007
Voir cet article
The space of interactions in neural network models
E Gardner
Journal of Physics A: Mathematical and General 21 (1) 257 (1988)
DOI: 10.1088/0305-4470/21/1/030
Voir cet article
A neural network model of working memory exhibiting primacy and recency
K Y M Wong, P E Kahn and D Sherrington
Journal of Physics A: Mathematical and General 24 (5) 1119 (1991)
DOI: 10.1088/0305-4470/24/5/025
Voir cet article
Learning and forgetting on asymmetric, diluted neural networks
B. Derrida and J. P. Nadal
Journal of Statistical Physics 49 (5-6) 993 (1987)
DOI: 10.1007/BF01017556
Voir cet article
Nonlinear neural networks. II. Information processing
J. L. van Hemmen, D. Grensing, A. Huber and R. Kühn
Journal of Statistical Physics 50 (1-2) 259 (1988)
DOI: 10.1007/BF01022995
Voir cet article
Information processing in three-state neural networks
C. Meunier, D. Hansel and A. Verga
Journal of Statistical Physics 55 (5-6) 859 (1989)
DOI: 10.1007/BF01041070
Voir cet article
Extensions of a solvable feed forward neural network
Ronny Meir
Journal de Physique 49 (2) 201 (1988)
DOI: 10.1051/jphys:01988004902020100
Voir cet article
On-Line Learning of a Time-Dependent Rule
M Biehl and H Schwarze
Europhysics Letters (EPL) 20 (8) 733 (1992)
DOI: 10.1209/0295-5075/20/8/012
Voir cet article
Statistical Mechanics of Neural Networks
B. Schürmann, J. Hollatz and U. Ramacher
Lecture Notes in Physics, Statistical Mechanics of Neural Networks 368 49 (1990)
DOI: 10.1007/3540532676_40
Voir cet article
Statistical Mechanics of Neural Networks
Stam Nicolis
Lecture Notes in Physics, Statistical Mechanics of Neural Networks 368 155 (1990)
DOI: 10.1007/3540532676_47
Voir cet article
Glauber dynamics of the Little-Hopfield model
H. Rieger, M. Schreckenberg and J. Zittartz
Zeitschrift f�r Physik B Condensed Matter 72 (4) 523 (1988)
DOI: 10.1007/BF01314534
Voir cet article
Heidelberg Colloquium on Glassy Dynamics
H. Sompolinsky
Lecture Notes in Physics, Heidelberg Colloquium on Glassy Dynamics 275 485 (1987)
DOI: 10.1007/BFb0057531
Voir cet article
Heidelberg Colloquium on Glassy Dynamics
G. Toulouse
Lecture Notes in Physics, Heidelberg Colloquium on Glassy Dynamics 275 569 (1987)
DOI: 10.1007/BFb0057535
Voir cet article
Heidelberg Colloquium on Glassy Dynamics
Daniel J. Amit
Lecture Notes in Physics, Heidelberg Colloquium on Glassy Dynamics 275 429 (1987)
DOI: 10.1007/BFb0057530
Voir cet article
Weinan Sun, Madhu Advani, Nelson Spruston, Andrew Saxe and James E. Fitzgerald
(2021)
DOI: 10.1101/2021.10.13.463791
Voir cet article
External Stimuli on Neural Networks: Analytical and Numerical Approaches
Evaldo M. F. Curado, Nilo B. Melgar and Fernando D. Nobre
Entropy 23 (8) 1034 (2021)
DOI: 10.3390/e23081034
Voir cet article
Dynamic Interactions in Neural Networks: Models and Data
Shigeru Shinomoto
Research Notes in Neural Computing, Dynamic Interactions in Neural Networks: Models and Data 1 73 (1989)
DOI: 10.1007/978-1-4612-4536-0_5
Voir cet article
Models of Neural Networks I
J. Leo van Hemmen and Reimer Kühn
Physics of Neural Networks, Models of Neural Networks I 1 (1995)
DOI: 10.1007/978-3-642-79814-6_1
Voir cet article
Models of Neural Networks
J. Leo van Hemmen and Reimer Kühn
Physics of Neural Networks, Models of Neural Networks 1 (1991)
DOI: 10.1007/978-3-642-97171-6_1
Voir cet article
Time-Dependent Effects in Disordered Materials
Gérard Toulouse
Time-Dependent Effects in Disordered Materials 359 (1987)
DOI: 10.1007/978-1-4684-7476-3_38
Voir cet article
Quality Solution of Logic Programming in Hopfield Neural Network
M S M Kasihmuddin, M A Mansor, S Alzaeemi, M F M Basir and S Sathasivam
Journal of Physics: Conference Series 1366 (1) 012094 (2019)
DOI: 10.1088/1742-6596/1366/1/012094
Voir cet article
Nimrod Shaham, Jay Chandra, Gabriel Kreiman and Haim Sompolinsky
(2021)
DOI: 10.1101/2021.08.24.457446
Voir cet article
Learning Networks of Neurons with Boolean Logic
S Patarnello and P Carnevali
Europhysics Letters (EPL) 4 (4) 503 (1987)
DOI: 10.1209/0295-5075/4/4/020
Voir cet article
Stochastic Dynamics of a Layered Neural Network; Exact Solution
R Meir and E Domany
Europhysics Letters (EPL) 4 (6) 645 (1987)
DOI: 10.1209/0295-5075/4/6/002
Voir cet article
Oskar H Schnaack, Luca Peliti and Armita Nourmohammad
(2021)
DOI: 10.1101/2021.10.27.466120
Voir cet article
X. Li and W.S. Wong
4 2454 (1994)
DOI: 10.1109/ICNN.1994.374605
Voir cet article
Ulises Pereira and Nicolas Brunel
(2017)
DOI: 10.1101/199521
Voir cet article
A. Ballarin, S. Gervasi, F. Giancarli and F. Cecere
593 (2000)
DOI: 10.1109/IJCNN.2000.861381
Voir cet article
Morris, Rubin and Wong
199 (1988)
DOI: 10.1109/ICNN.1988.23848
Voir cet article
A. Kuh and T. Petsche
2 971 (1990)
DOI: 10.1109/ACSSC.1990.523482
Voir cet article
Supervised learning in the presence of concept drift: a modelling framework
M. Straat, F. Abadi, Z. Kan, C. Göpfert, B. Hammer and M. Biehl
Neural Computing and Applications 34 (1) 101 (2022)
DOI: 10.1007/s00521-021-06035-1
Voir cet article