Neuronal Network Research Horizons
In neuroscience, a neural network is a bit of conceptual juggernaut: the conceptual transition from neuroanatomy, a rigorously descriptive discipline of observed structure, to the designation of the parameters delimiting a 'network' can be problematic. In outline a neural network describes a population of physically interconnected neurons or a group of disparate neurons whose inputs or signalling targets define a recognisable circuit. Communication between neurons often involves an electrochemical process. The interface through which they interact with surrounding neurons usually consists of several dendrites (input connections), which are connected via synapses to other neurons, and one axon (output connection). If the sum of the input signals surpasses a certain threshold, the neuron sends an action potential (AP) at the axon hillock and transmits this electrical signal along the axon. This important book presents the latest research in this field.
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A GENERALIZED RATE MODEL FOR NEURONAL ENSEMBLES
NEW RESEARCH ON NEURONAL NETWORKS
NOISE AND NEURONAL HETEROGENEITY
SPATIALTEMPORALCODING PULSE COUPLED NEURAL NETWORK AND ITS APPLICATIONS
A CHONDROITIN SULFATE PROTEOGLYCAN PTPPHOSPHACAN AND NEURONAL NETWORK FORMATION
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