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Results: 1-13 |
Results: 13
NONLINEAR FEEDFORWARD NETWORKS WITH STOCHASTIC OUTPUTS - INFOMAX IMPLIES REDUNDANCY REDUCTION
Authors: NADAL JP BRUNEL N PARGA N
Citation: Jp. Nadal et al., NONLINEAR FEEDFORWARD NETWORKS WITH STOCHASTIC OUTPUTS - INFOMAX IMPLIES REDUNDANCY REDUCTION, Network, 9(2), 1998, pp. 207-217
MUTUAL INFORMATION, FISHER INFORMATION, AND POPULATION CODING
Authors: BRUNEL N NADAL JP
Citation: N. Brunel et Jp. Nadal, MUTUAL INFORMATION, FISHER INFORMATION, AND POPULATION CODING, Neural computation, 10(7), 1998, pp. 1731-1757
MODELING MEMORY - WHAT DO WE LEARN FROM ATTRACTOR NEURAL NETWORKS
Authors: BRUNEL N NADAL JP
Citation: N. Brunel et Jp. Nadal, MODELING MEMORY - WHAT DO WE LEARN FROM ATTRACTOR NEURAL NETWORKS, Comptes rendus de l'Academie des sciences. Serie 3, Sciences de la vie, 321(2-3), 1998, pp. 249-252
SELF-SIMILARITY PROPERTIES OF NATURAL IMAGES RESEMBLE THOSE OF TURBULENT FLOWS
Authors: TURIEL A MATO G PARGA N NADAL JP
Citation: A. Turiel et al., SELF-SIMILARITY PROPERTIES OF NATURAL IMAGES RESEMBLE THOSE OF TURBULENT FLOWS, Physical review letters, 80(5), 1998, pp. 1098-1101
INFORMATION-PROCESSING BY A NOISY BINARY CHANNEL
Authors: KORUTCHEVA E PARGA N NADAL JP
Citation: E. Korutcheva et al., INFORMATION-PROCESSING BY A NOISY BINARY CHANNEL, Network, 8(4), 1997, pp. 405-424
REDUNDANCY REDUCTION AND INDEPENDENT COMPONENT ANALYSIS - CONDITIONS ON CUMULANTS AND ADAPTIVE APPROACHES
Authors: NADAL JP PARGA N
Citation: Jp. Nadal et N. Parga, REDUNDANCY REDUCTION AND INDEPENDENT COMPONENT ANALYSIS - CONDITIONS ON CUMULANTS AND ADAPTIVE APPROACHES, Neural computation, 9(7), 1997, pp. 1421-1456
MAXIMIZATION OF MUTUAL INFORMATION IN A LINEAR NOISY NETWORK - A DETAILED STUDY
Authors: CAMPA A DELGIUDICE P PARGA N NADAL JP
Citation: A. Campa et al., MAXIMIZATION OF MUTUAL INFORMATION IN A LINEAR NOISY NETWORK - A DETAILED STUDY, Network, 6(3), 1995, pp. 449-468
NONLINEAR NEURONS IN THE LOW-NOISE LIMIT - A FACTORIAL CODE MAXIMIZESINFORMATION-TRANSFER
Authors: NADAL JP PARGA N
Citation: Jp. Nadal et N. Parga, NONLINEAR NEURONS IN THE LOW-NOISE LIMIT - A FACTORIAL CODE MAXIMIZESINFORMATION-TRANSFER, Network, 5(4), 1994, pp. 565-581
DUALITY BETWEEN LEARNING MACHINES - A BRIDGE BETWEEN SUPERVISED AND UNSUPERVISED LEARNING
Authors: NADAL JP PARGA N
Citation: Jp. Nadal et N. Parga, DUALITY BETWEEN LEARNING MACHINES - A BRIDGE BETWEEN SUPERVISED AND UNSUPERVISED LEARNING, Neural computation, 6(3), 1994, pp. 491-508
OPTIMAL UNSUPERVISED LEARNING
Authors: WATKIN TLH NADAL JP
Citation: Tlh. Watkin et Jp. Nadal, OPTIMAL UNSUPERVISED LEARNING, Journal of physics. A, mathematical and general, 27(6), 1994, pp. 1899-1915
NEURAL NETWORKS AS OPTIMAL INFORMATION PROCESSORS
Authors: CAMPA A DELGIUDICE P NADAL JP PARGA N
Citation: A. Campa et al., NEURAL NETWORKS AS OPTIMAL INFORMATION PROCESSORS, International journal of modern physics C, 5(5), 1994, pp. 855-862
RELEVANT PARAMETERS FOR A CLASS OF SEQUENCE-RETRIEVING NEURAL NETWORKS
Authors: LEFEVRE O NADAL JP
Citation: O. Lefevre et Jp. Nadal, RELEVANT PARAMETERS FOR A CLASS OF SEQUENCE-RETRIEVING NEURAL NETWORKS, Journal de physique. I, 3(6), 1993, pp. 1303-1328
INFORMATION-PROCESSING BY A PERCEPTRON IN AN UNSUPERVISED LEARNING-TASK
Authors: NADAL JP PARGA N
Citation: Jp. Nadal et N. Parga, INFORMATION-PROCESSING BY A PERCEPTRON IN AN UNSUPERVISED LEARNING-TASK, Network, 4(3), 1993, pp. 295-312
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