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Table of contents of journal: *Network : computation in neural systems

Results: 51-75/265

Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution

Authors: Frean, M Robins, A

Citation: M. Frean et A. Robins, Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution, NETWORK-COM, 10(3), 1999, pp. 227-236

Associative memory properties of multiple cortical modules

Authors: Renart, A Parga, N Rolls, ET

Citation: A. Renart et al., Associative memory properties of multiple cortical modules, NETWORK-COM, 10(3), 1999, pp. 237-255

Noise spectrum and signal transmission through a population of spiking neurons

Authors: Spiridon, M Gerstner, W

Citation: M. Spiridon et W. Gerstner, Noise spectrum and signal transmission through a population of spiking neurons, NETWORK-COM, 10(3), 1999, pp. 257-272

What is and what is not a theory of context correlations

Authors: Amit, DJ

Citation: Dj. Amit, What is and what is not a theory of context correlations, NETWORK-COM, 10(3), 1999, pp. 273-280

What is and what is not a theory of context correlations - Response - Temporal association in a feed-forward framework

Authors: Wallis, G

Citation: G. Wallis, What is and what is not a theory of context correlations - Response - Temporal association in a feed-forward framework, NETWORK-COM, 10(3), 1999, pp. 281-284

Solutions of the BCM learning rule in a network of lateral interacting nonlinear neurons

Authors: Castellani, GC Intrator, N Shouval, H Cooper, LN

Citation: Gc. Castellani et al., Solutions of the BCM learning rule in a network of lateral interacting nonlinear neurons, NETWORK-COM, 10(2), 1999, pp. 111-121

Visual coding and the phase structure of natural scenes

Authors: Thomson, MGA

Citation: Mga. Thomson, Visual coding and the phase structure of natural scenes, NETWORK-COM, 10(2), 1999, pp. 123-132

Processing images by semi-linear predictability minimization

Authors: Schraudolph, NN Eldracher, M Schmidhuber, J

Citation: Nn. Schraudolph et al., Processing images by semi-linear predictability minimization, NETWORK-COM, 10(2), 1999, pp. 133-169

Entropy optimization by the PFANN network: application to blind source separation

Authors: Fiori, S

Citation: S. Fiori, Entropy optimization by the PFANN network: application to blind source separation, NETWORK-COM, 10(2), 1999, pp. 171-186

Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex

Authors: Li, ZP

Citation: Zp. Li, Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex, NETWORK-COM, 10(2), 1999, pp. 187-212

Leap-frog is a robust algorithm for training neural networks

Authors: Holm, JEW Botha, EC

Citation: Jew. Holm et Ec. Botha, Leap-frog is a robust algorithm for training neural networks, NETWORK-COM, 10(1), 1999, pp. 1-13

Sparsification from dilute connectivity in a neural network model of memory

Authors: Maravall, M

Citation: M. Maravall, Sparsification from dilute connectivity in a neural network model of memory, NETWORK-COM, 10(1), 1999, pp. 15-39

Do cortical maps adapt to optimize information density?

Authors: Plumbley, MD

Citation: Md. Plumbley, Do cortical maps adapt to optimize information density?, NETWORK-COM, 10(1), 1999, pp. 41-58

Computational differences between asymmetrical and symmetrical networks

Authors: Li, ZP Dayan, P

Citation: Zp. Li et P. Dayan, Computational differences between asymmetrical and symmetrical networks, NETWORK-COM, 10(1), 1999, pp. 59-77

Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons

Authors: Liley, DTJ Alexander, DM Wright, JJ Aldous, MD

Citation: Dtj. Liley et al., Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons, NETWORK-COM, 10(1), 1999, pp. 79-92

Model-independent mean-field theory as a local method for approximate propagation of information

Authors: Haft, M Hofmann, R Tresp, V

Citation: M. Haft et al., Model-independent mean-field theory as a local method for approximate propagation of information, NETWORK-COM, 10(1), 1999, pp. 93-105

A review of methods for spike sorting: the detection and classification ofneural action potentials

Authors: Lewicki, MS

Citation: Ms. Lewicki, A review of methods for spike sorting: the detection and classification ofneural action potentials, NETWORK-COM, 9(4), 1998, pp. R53-R78

Computation of molecular information in mammalian olfactory systems

Authors: Mori, K Nagao, H Sasaki, YF

Citation: K. Mori et al., Computation of molecular information in mammalian olfactory systems, NETWORK-COM, 9(4), 1998, pp. R79-R102

Emergent componential coding of a handwritten image database by neural self-organisation

Authors: Webber, CJS

Citation: Cjs. Webber, Emergent componential coding of a handwritten image database by neural self-organisation, NETWORK-COM, 9(4), 1998, pp. 433-447

Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortex

Authors: Wimbauer, S Gerstner, W van Hemmen, JL

Citation: S. Wimbauer et al., Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortex, NETWORK-COM, 9(4), 1998, pp. 449-466

Computational modelling of optic flow selectivity in MSTd neurons

Authors: Beardsley, SA Vaina, LM

Citation: Sa. Beardsley et Lm. Vaina, Computational modelling of optic flow selectivity in MSTd neurons, NETWORK-COM, 9(4), 1998, pp. 467-493

Evolving neurocontrollers for balancing an inverted pendulum

Authors: Pasemann, F

Citation: F. Pasemann, Evolving neurocontrollers for balancing an inverted pendulum, NETWORK-COM, 9(4), 1998, pp. 495-511

Hypothetical neural mechanism that may play a role in mental rotation: an attractor neural network model

Authors: Benuskova, L Estok, S

Citation: L. Benuskova et S. Estok, Hypothetical neural mechanism that may play a role in mental rotation: an attractor neural network model, NETWORK-COM, 9(4), 1998, pp. 513-530

A recurrent neural network for modelling dynamical systems

Authors: Bailer-Jones, CAL MacKay, DJC Withers, PJ

Citation: Cal. Bailer-jones et al., A recurrent neural network for modelling dynamical systems, NETWORK-COM, 9(4), 1998, pp. 531-547

Attractor switching by neural control of chaotic neurodynamics

Authors: Pasemann, F Stollenwerk, N

Citation: F. Pasemann et N. Stollenwerk, Attractor switching by neural control of chaotic neurodynamics, NETWORK-COM, 9(4), 1998, pp. 549-561

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