Lectures in Supercomputational Neuroscience

Neurophysiology.- Foundations of Neurophysics.- Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals.- Complex Networks.- Structural Characterization of Networks Using the Cat Cortex as an Example.- Organization and Function of Complex Cortical Networks.- Synchronization Dynamics in Complex Networks.- Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots.- Cognition and Higher Perception.- Neural and Cognitive Modeling with Networks of Leaky Integrator Units.- A Dynamic Model of the Macrocolumn.- Implementations.- Building a Large-Scale Computational Model of a Cortical Neuronal Network.- Maintaining Causality in Discrete Time Neuronal Network Simulations.- Sequential and Parallel Implementation of Networks.- Applications.- Parametric Studies on Networks of Morris-Lecar Neurons.- Traversing Scales: Large Scale Simulation of the Cat Cortex Using Single Neuron Models.- Parallel Computation of Large Neuronal Networks with Structured Connectivity.