Neural computation

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  Año 1999, Vol. 11, Número 1

  • Evolution of time coding systems

    C. E. Carr, M. A. Friedman

    págs. 1-20

    

  • Computing with self-excitatory cliques: A model and an application to hyperacuity-scale computation in visual cortex

    págs. 21-66

    

  • Complex response to periodic inhibition in simple and detailed neuronal models

    págs. 67-74

    

  • Neuronal tuning: To sharpen or broaden?

    págs. 75-84

    

  • Narrow versus wide tuning curves: What's best for a population code?

    págs. 85-90

    

  • The effect of correlated variability on the accuracy of a population code

    págs. 91-101

    

  • A neural network model of temporal code generation and position-invariant pattern recognition

    págs. 103-116

    

  • Probabilistic synaptic transmission in the associative net

    págs. 117-137

    

  • A stochastic self-organizing map for proximity data

    págs. 139-155

    

  • High-order contrasts for independent component analysis

    págs. 157-192

    

  • Variational learning in nonlinear gaussian belief networks

    págs. 193-213

    

  • Propagating distributions up directed acyclic graphs

    págs. 215-227

    

  • Modeling and prediction of human behavior

    págs. 229-242

    

  • Analog VLSI-based modeling of the primate oculomotor system

    págs. 243-265

    

  • JPEG quality transcoding using neural networks trained with a perceptual error measure

    págs. 267-296