Computation in Neurons and Neural Systems
Frank H. Eeckman
Springer Science & Business Media, Jun 30, 1994 - Computers - 319 pages
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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action potential activity adaptation afferent amplitude analysis auditory behavior brain burst calcium calcium concentration cerebellar cerebellum channels compartments computational Computational Neuroscience conductance cone conﬁguration connections constant contours correlation cortical cortical column coupling deﬁned dendritic dynamics effects electric electroreceptors equations excitatory input experimental ﬁbers ﬁgure ﬁres ﬁring rate ﬁrst ﬁsh ﬁt ﬁxed ﬂow frequency function horizontal cell hyperpolarizing illusory contours information processing inhibition inhibitory leaming lesion LHRH linear mechanisms membrane potential model neurons modiﬁcation modulation motor msec muscimol nerve neural network neural processing elements Neuronal Modeling Neuroscience NMDA NMDA receptor oscillators output parameters pathways pattem pattern phase pheromone photoreceptors Physiol physiological postsynaptic predict presynaptic properties pyramidal cells receptive ﬁeld receptor reﬂected release represent response sensory sequence shown shows signal signiﬁcant simulation spatial speciﬁc spike trains strong input synaptic input synaptic plasticity synaptic threshold temporal vector visual cortex voltage weak input