Neuronal Network Research Horizons

Front Cover
Nova Publishers, 2007 - Medical - 330 pages
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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Contents

THE ROLE OF ACTIVITYDEPENDENT SYNAPTIC PLASTICITY AND VARIABILITY IN THE PATTERNING OF OSCILLATORY NETWORK ...
1
A GENERALIZED RATE MODEL FOR NEURONAL ENSEMBLES
61
NEW RESEARCH ON NEURONAL NETWORKS
99
NOISE AND NEURONAL HETEROGENEITY
119
SPATIALTEMPORALCODING PULSE COUPLED NEURAL NETWORK AND ITS APPLICATIONS
137
A CHONDROITIN SULFATE PROTEOGLYCAN PTPPHOSPHACAN AND NEURONAL NETWORK FORMATION
181
NEURAL CONTROL AND GENERATION OF RESPIRATORY RHYTHMS ROLE OF PACEMAKER NEURONS
207
REALISTIC AND NONREALISTIC ART WORKS OF HUMAN PORTRAIT ACTIVATED DIFFERENT CORTICAL NEURAL NETWORKS
227
MODELLING GENERIC COGNITIVE FUNCTIONS WITH OPERATIONAL HEBBIAN CELL ASSEMBLIES
247
INDEX
317
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Page 300 - How does the cerebral cortex work? Learning, attention and grouping by the laminar circuits of visual cortex. Spatial Vision 12, 163-186, (1999) Gilks, WR, Richardson, S., Spiegelhalter, DJ: Markov Chain Monte Carlo in Practice.

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