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G. Weisbuch , F. Fogelman-Soulie
J. Physique Lett., 46 14 (1985) 623-630
Citations de cet article :
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Notions of Associative Memory and Sparse Coding
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High-capacity Hebbian storage by sparse sampling
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Y. Baram IEEE Transactions on Information Theory 40 (2) 429 (1994) https://doi.org/10.1109/18.312165
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Advances in Computers Volume 37
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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
Capacity of associative memory using a nonmonotonic neuron model
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R Monasson Journal of Physics A: Mathematical and General 25 (13) 3701 (1992) https://doi.org/10.1088/0305-4470/25/13/019
A lower bound for the memory capacity in the Potts-Hopfield model
Pablo A. Ferrari, Servet Mart�nez and Pierre Picco Journal of Statistical Physics 66 (5-6) 1643 (1992) https://doi.org/10.1007/BF01054440
Self-consistent signal-to-noise analysis and its application to analogue neural networks with asymmetric connections
M Shiino and T Fukai Journal of Physics A: Mathematical and General 25 (7) L375 (1992) https://doi.org/10.1088/0305-4470/25/7/017
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Y. Baram IEEE Transactions on Information Theory 37 (3) 528 (1991) https://doi.org/10.1109/18.79908
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J W Clark Physics in Medicine and Biology 36 (10) 1259 (1991) https://doi.org/10.1088/0031-9155/36/10/001
Exact associative neural memory dynamics utilizing Boolean matrices
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Geoffrey E. Hinton Machine Learning 555 (1990) https://doi.org/10.1016/B978-0-08-051055-2.50029-8
Behavior of a neural network with three-spin interactions
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Recognition rates of the Hebb rule for learning Boolean functions
F. Vallet and J-G. Cailton Physical Review A 41 (6) 3059 (1990) https://doi.org/10.1103/PhysRevA.41.3059
M.H. Hassoun and A.M. Youssef 763 (1990) https://doi.org/10.1109/IJCNN.1990.137660
Neural networks with many-neuron interactions
G.A. Kohring Journal de Physique 51 (2) 145 (1990) https://doi.org/10.1051/jphys:01990005102014500
Mathematical aspects of outer-product asynchronous content-addressable memories
E. K. Blum Biological Cybernetics 62 (4) 337 (1990) https://doi.org/10.1007/BF00201448
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S.-i. Amari Proceedings of the IEEE 78 (9) 1443 (1990) https://doi.org/10.1109/5.58324
Prosopagnosia in high capacity neural networks storing uncorrelated classes
S. Franz, D.J. Amit and M. A. Virasoro Journal de Physique 51 (5) 387 (1990) https://doi.org/10.1051/jphys:01990005105038700
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
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F Vallet, J.-G Cailton and Ph Refregier Europhysics Letters (EPL) 9 (4) 315 (1989) https://doi.org/10.1209/0295-5075/9/4/003
Characteristics of sparsely encoded associative memory
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The Hebb Rule for Learning Linearly Separable Boolean Functions: Learning and Generalization
F Vallet Europhysics Letters (EPL) 8 (8) 747 (1989) https://doi.org/10.1209/0295-5075/8/8/007
The antiphon: a device for reliable memory from unreliable components. I
Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences 423 (1864) 201 (1989) https://doi.org/10.1098/rspa.1989.0051
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Optimised network for sparsely coded patterns
C J Perez Vicente and D J Amit Journal of Physics A: Mathematical and General 22 (5) 559 (1989) https://doi.org/10.1088/0305-4470/22/5/018
Finite-Size Capacity of Sparse-Coding Models
C. J Perez-Vicente Europhysics Letters (EPL) 10 (7) 627 (1989) https://doi.org/10.1209/0295-5075/10/7/004
Vallet, Cailton and Refregier 443 (1989) https://doi.org/10.1109/IJCNN.1989.118280
On the stability, storage capacity, and design of nonlinear continuous neural networks
A. Guez, V. Protopopsecu and J. Barhen IEEE Transactions on Systems, Man, and Cybernetics 18 (1) 80 (1988) https://doi.org/10.1109/21.87056
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Françoise Fogelman Soulie Lecture Notes in Computer Science, Automata Networks 316 95 (1988) https://doi.org/10.1007/3-540-19444-4_17
Martingale approach to neural networks with hierarchically structured information
S. Bös, R. Kühn and J. L. van Hemmen Zeitschrift für Physik B Condensed Matter 71 (2) 261 (1988) https://doi.org/10.1007/BF01312798
Neural networks with hierarchically correlated patterns
H. Gutfreund Physical Review A 37 (2) 570 (1988) https://doi.org/10.1103/PhysRevA.37.570
Capacities of multiconnected memory models
D. Horn and M. Usher Journal de Physique 49 (3) 389 (1988) https://doi.org/10.1051/jphys:01988004903038900
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Memory capacity in neural network models: Rigorous lower bounds
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A D Bruce, E J Gardner and D J Wallace Journal of Physics A: Mathematical and General 20 (10) 2909 (1987) https://doi.org/10.1088/0305-4470/20/10/035
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R Nemeth Journal of Physics A: Mathematical and General 20 (2) L85 (1987) https://doi.org/10.1088/0305-4470/20/2/008
Memory capacity of neural networks learning within bounds
Mirta B. Gordon Journal de Physique 48 (12) 2053 (1987) https://doi.org/10.1051/jphys:0198700480120205300
Zero temperature parallel dynamics for infinite range spin glasses and neural networks
E. Gardner, B. Derrida and P. Mottishaw Journal de Physique 48 (5) 741 (1987) https://doi.org/10.1051/jphys:01987004805074100
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Ronald J. MacGregor Neural and Brain Modeling 135 (1987) https://doi.org/10.1016/B978-0-12-464260-7.50017-1
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D. J. Amit Springer Series in Synergetics, The Physics of Structure Formation 37 2 (1987) https://doi.org/10.1007/978-3-642-73001-6_1
Multiconnected neural network models
E Gardner Journal of Physics A: Mathematical and General 20 (11) 3453 (1987) https://doi.org/10.1088/0305-4470/20/11/046
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Daniel J. Amit Lecture Notes in Physics, Heidelberg Colloquium on Glassy Dynamics 275 429 (1987) https://doi.org/10.1007/BFb0057530
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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) https://doi.org/10.1103/PhysRevA.35.2293
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P. Peretto and J. J. Niez Biological Cybernetics 54 (1) 53 (1986) https://doi.org/10.1007/BF00337115
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E Gardner Journal of Physics A: Mathematical and General 19 (16) L1047 (1986) https://doi.org/10.1088/0305-4470/19/16/017
Spin-glass models of a neural network
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G. Weisbuch Journal of Theoretical Biology 121 (3) 255 (1986) https://doi.org/10.1016/S0022-5193(86)80106-0
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E Domany, R Meir and W Kinzel Europhysics Letters (EPL) 2 (3) 175 (1986) https://doi.org/10.1209/0295-5075/2/3/003
Information packing in associative memory models
D. Horn and J. Weyers Physical Review A 34 (3) 2324 (1986) https://doi.org/10.1103/PhysRevA.34.2324
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