Advanced Neural Computers by R. Eckmiller

By R. Eckmiller

This booklet is the result of the foreign Symposium on Neural Networks for Sensory and Motor structures (NSMS) held in March 1990 within the FRG. The NSMS symposium assembled forty five invited specialists from Europe, the United States and Japan representing the fields of Neuroinformatics, machine technological know-how, Computational Neuroscience, and Neuroscience.

As a rapidly-published document at the cutting-edge in Neural Computing it kinds a reference booklet for destiny learn during this hugely interdisciplinary box and will end up worthy within the activity to move suggestions of mind functionality and constitution to novel neural desktops with adaptive, dynamical neural internet topologies.

A characteristic of the ebook is the completeness of the references supplied. An alphabetical checklist of all references quoted within the papers is given, in addition to a separate record of common references to assist beginners to the sphere. a subject matter index and writer index additionally facilitate entry to varied details.

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Advanced Neural Computers / R. V. (North-Holland), 1990 43 NEURAL NETWORK MODELS OF THE PRIMATE MOTOR SYSTEM Eberhard E. FETZ and Larry E. SHUPE Department of Physiology & Biophysics and Regional Primate Research Center University of Washington Seatüe,WA 98195 Dynamic neural network models that incorporate time-varying activity and allow unrestricted connectivity were trained by back-propagation to generate discharge patterns of cells previously observed in behaving monkeys. Neuronal recordings in monkeys performing a simple alternating step-tracking task have shown that forearm motor units and connected premotoneuronal cells fire witii characteristic patterns: phasic-tonic, tonic, decrementing, etc..

Effect of lesioning and stimulating specific hidden units in the network in Fig. 1. The activations of representative units are shown for the unmanipulated, intact network (control, first column); after lesioning the tonic excitatory hidden unit a11 (second column); after lesioning the phasic excitatory hidden unit a1 (third colunm); and after stimulating die phasic excitatory hidden unit a1 (fourth column). The modified activations are shown superimposed on a stippled profile of the control activations.

The first two muscles span all the three joints, following a palmar or dorsal pathway, respectively. The interosseus is a double-joint muscle and has an opposite effect on the two articulations (flexion of the metacaφO-phalangeal joint and extension of the proximal inter-phalangeal joint). 56 P. Morasso The parameters of the different units were partly derived from the experimental data reported by Tubiana (Tubiana, 1981) and partly from internal constraints of consistency. With this network we performed a number of simulation experiments like the flexion shown in ñgures 1 and 2, which is driven by a single attractor connected to the ñngertip.

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