Computation in Neurons and Neural Systems de Frank H. Eeckman

Computation in Neurons and Neural Systems

Frank H. Eeckman

Computation in Neurons and Neural Systems contains the collected papers of the 1993 Conference on Computation and Neural Systems which was held between July 31--August 7, in Washington, DC. These papers represent a cross-section of the state-of-the-art research work in the field of computational neuroscience, and includes coverage of analysis and modeling work as well as results of new biological experimentation.

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Cuprins

Section 1: Analysis.- 1 Solutions to Hodgkin-Huxley Equations: Functional Analysis of a Molluscan Neurone.- 2 An Analytic Method for Estimating the Kinetic Parameters of Active Conductances from Current-Clamp Data.- 3 The Effect of ih Currents on Bursting Patterns of Pairs of Coupled Neurons.- 4 Anomalous Increase in Membrane Impedance of Neurons during NMDA Activation.- 5 Synchronization among Heterogeneous Inhibitory RTN Neurons Globally Coupled.- 6 A Multi-Conditional Correlation Statistics for Detecting Spatio-Temporally Correlated Firing Patterns.- 7 Dynamics of Presynaptic Ca2+ and Peptide Release in Bullfrog Sympathetic Ganglia.- Section 2: Modeling.- 8 Activity-Dependent Distributions of Neuronal Conductances.- 9 An Overview of the Valentino Computational Neuroscience Workbench for the Simulation of Neural Systems.- 10 Measurement of Simulation Speed: its Relation to Simulation Accuracy.- 11 Simulation-based Tutorials for Neuroscience Education.- Section 3: Visual Systems.- 12 Simulating the Foveal Cone Receptive Field.- 13 Computational Hermissenda Photoarray Model.- 14 Limits on Image Representation in Early Vision.- 15 Inward Rectifying Conductances in Inhibitory Neurons of Turtle Visual Cortex.- 16 Optimal Smoothness of Orientation Preference Maps.- 17 Network Dynamics and Correlated Spikes.- 18 Modeling Global Synchrony in the Visual Cortex by Locally Coupled Neural Oscillators.- 19 A Cortical Mechanism for Shape-from-Texture Based on Dynamic Changes in Complex Cell Receptive Fields.- 20 Construction of Illusory Surfaces by Intermediate-Level Visual Cortical Networks.- 21 A Neural Model for the Perception of Surface Transparency.- 22 Learning by Delay Modifications.- 23 Using Adaptive Synaptogenesis to Model the Development of Ocular Dominance in Kitten Visual Cortex.- Section 4: Auditory Systems.- 24 A Stochastic Model of Synaptic Transmission and Auditory Nerve Discharge (Part I).- 25 A Stochastic Model of Synaptic Transmission and Auditory Nerve Discharge (Part II).- 26 The Effects of Neuronal Modeling Parameters on the Auditory Nerve Image: an Exploration of Parameter Space.- 27 A Simulation of Neural Processing in the Auditory Pathway of the Barn Owl.- Section 5: Other Sensory Systems.- 28 Modeling Olfactory Neurons of the Insect Antennal Lobe.- 29 Pheromone Detection, Ratio Discrimination and Oscillations: A New Approach to Olfactory Coding.- 30 Sensitivity in the Response of Piriform Pyramidal Cells to Fluctuations in Synaptic Timing.- 31 Neural System Identification Applied to Modeling Dogfish Electrosensory Neurons.- 32 System Identification and Modeling of Primary Electrosensory Afferent Response Dynamics.- 33 A Network Model of Automatic Gain Control in the Electrosensory System.- 34 Adaptive Filtering in the Electrosensory System.- Section 6: Motor Systems.- 35 An Integrated Neuronal and Mechanical Model of Fish Swimming.- 36 Frequency Control in Biological Half-Center Oscillators.- 37 Fatigue in a Dynamic Neural Network.- 38 Facilitation and Unblocking: A Quantitative Model.- 39 Timing the ISI in Rabbit Eyeblink Conditioning- A Cerebellar Neural Model of a Neuromotor Timing Mechanism.- 40 A Role for the Cerebellum in Global Regulation of Regional Blood Flow and Energy Delivery.- Section 7: Cortex and Cognition.- 41 Toward a Mechanism for Navigation by the Rat Hippocampus.- 42 Propagating Waves of Activity in Firing-Rates Models.- 43 The Sinusoidal Array: A Theory of Representation for Spatial Vectors.- 44 State-dependent Sequencing and Learning.- 45 Unifying Two Forms of Memory: A Neural Model.- 46 Modulationof Neuronal Adaptation and Cortical Associative Memory Function.- 47 Preliminary Aspects of the SAM Theory of the Cerebral Neocortex.- 48 Temporal Requirement for Associative LTP in the Dentate. Dependence on Modeled Rm and Ri Values.- 49 A Computational Model of Map Reorganization Following Cortical Lesions.- 50 Competitive Parallel Processing of Millisecond Scale in the Neocortical Circuitry.