Computation in Neurons and Neural Systems de Frank H. Eeckman

Computation in Neurons and Neural Systems

Frank H. Eeckman

en Limba Engleză Paperback – 23 oct 2012

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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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.