Neural computation

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  Año 1998, Vol. 10, Número 7

  • Analog versus digital: Extrapolating from electronics to neurobiology

    Rahul Sarpeshkar

    págs. 1601-1638

    

  • Analog Versus Digital: Extrapolating from Electronics to Neurobiology

    Rahul Sarpeshkar

    págs. 1601-1638

    

  • Analog Versus Digital: Extrapolating from Electronics to Neurobiology

    pág. 1601

    

  • Employing the Z-Transform to Optimize the Calculation of the Synaptic Conductance of NMDA and Other Synaptic Channels in Network Simulations

    Florentin Worgotter, J. Köhn

    págs. 1639-1651

    

  • Employing the Z-transform to optimize the calculation of the synaptic conductance of NMDA and other synaptic channels in network simulations

    Florentin Worgotter, J. Köhn

    págs. 1639-1652

    

  • Employing the ${\cal Z}$-Transform to Optimize the Calculation of the Synaptic Conductance of NMDA and Other Synaptic Channels in Network Simulations

    J. Köhn, Florentin Worgotter

    pág. 1639

    

  • Site-selective autophosphorylation of Ca[sup 2+]/ calmodulin-dependent protein kinase II as a synaptic encoding mechanism

    C. J. Coomber

    págs. 1653-1678

    

  • Site-Selective Autophosphorylation of Ca 2+/Calmodulin-Dependent Protein Kinase II as a Synaptic Encoding Mechanism

    C. J. Coomber

    págs. 1653-1678

    

  • Site-Selective Autophosphorylation of Ca$^{2+}$/Calmodulin-Dependent Protein Kinase II as a Synaptic Encoding Mechanism

    pág. 1653

    

  • Ion Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing

    Barry Freedman, Elad Schneidman, Idan Segev

    págs. 1679-1703

    

  • Ion channel stochasticity may be critical in determining the reliability and precision of spike timing

    Barry Freedman, Idan Segev, Elad Schneidman

    págs. 1679-1704

    

  • Ion Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing

    Elad Schneidman, Barry Freedman

    pág. 1679

    

  • Fast temporal encoding and decoding with spiking neurons

    David Horn, Sharon Levanda

    págs. 1705-1720

    

  • Fast Temporal Encoding and Decoding with Spiking Neurons

    David Horn, Sharon Levanda

    págs. 1705-1720

    

  • Fast Temporal Encoding and Decoding with Spiking Neurons

    pág. 1705

    

  • Linearization of F-I Curves by Adaptation

    Bard Ermentrout

    págs. 1721-1729

    

  • Linearization of F-I curves by adaptation

    Bard Ermentrout

    págs. 1721-1730

    

  • Linearization of F-I Curves by Adaptation

    pág. 1721

    

  • Mutual information, fisher information, and population coding

    Nicolas Brunel, Jean-Pierre Nadal

    págs. 1731-1757

    

  • Mutual Information, Fisher Information, and Population Coding

    Jean-Pierre Nadal, Nicolas Brunel

    págs. 1731-1757

    

  • Mutual Information, Fisher Information, and Population Coding

    pág. 1731

    

  • Synaptic Pruning in Development: A Computational Account

    Gal Chechik, Isaac Meilijson, Eytan Ruppin

    págs. 1759-1777

    

  • Synaptic pruning in development: A computational account

    Isaac Meilijson, Gal Chechik, Eytan Ruppin

    págs. 1759-1778

    

  • Synaptic Pruning in Development: A Computational Account

    Eytan Ruppin, Gal Chechik

    pág. 1759

    

  • Spatial decorrelation in orientation-selective cortical cells

    Alexander Dimitrov, Jack D. Cowan

    págs. 1779-1795

    

  • Spatial Decorrelation in Orientation-Selective Cortical Cells

    Jack D. Cowan, Alexander Dimitrov

    págs. 1779-1795

    

  • Spatial Decorrelation in Orientation-Selective Cortical Cells

    pág. 1779

    

  • Receptive field formation in natural scene environments: Comparison of single-cell learning rules

    Brian S. Blais, Leon N. Cooper, Nathan Intrator, H. Shouval

    págs. 1797-1813

    

  • Receptive Field Formation in Natural Scene Environments: Comparison of Single-Cell Learning Rules

    H. Shouval, S. Blais, Nathan Intrator, Leon N. Cooper

    págs. 1797-1813

    

  • Receptive Field Formation in Natural Scene Environments: Comparison of Single-Cell Learning Rules

    pág. 1797