By R. Eckmiller
This ebook 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, laptop technology, Computational Neuroscience, and Neuroscience.
As a rapidly-published document at the cutting-edge in Neural Computing it types a reference ebook for destiny study during this hugely interdisciplinary box and may turn out invaluable within the recreation to move techniques of mind functionality and constitution to novel neural desktops with adaptive, dynamical neural web topologies.
A characteristic of the publication is the completeness of the references supplied. An alphabetical checklist of all references quoted within the papers is given, in addition to a separate checklist of basic references to assist beginners to the sphere. a topic index and writer index additionally facilitate entry to varied details.
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Extra resources for Advanced Neural Computers
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..
The fourth colunm in Fig. 2 shows the effect of brief activation pulses delivered to a1 during the flexion and extension phase of the activity. The second pulse, during extension, evokes a response in the phasic output unit as well as in some of the active inhibitory hidden units. 9 11 1Í2 Fig 3 Modulation of stimulus-evoked activity during the movement cycle. Left: unit a1 stimulated with a pulse during flexion (at time ti) and extension (tj). Response in three representative hidden units (a10, a1 & a8) and two flexion motor units (fpt & fp).
These changes displace the equilibrium of the network which is re-gained in another relaxation phase. It is possible to outline a variety of strategies for updating the activity levels of the m-units during the active phase. e. to "substitute" or "unload" it. A resistance strategy, however, is necessary when dealing with contact forces and complex strategies might be necessary in arbitrary motor tasks. We barely started to investigate this topic that we deem fundamental for distributed models of motor control.