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Books > Science & Mathematics > Mathematics > Algebra
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Temporal-Pattern Learning in Neural Models (Paperback)
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Temporal-Pattern Learning in Neural Models (Paperback)
Series: Lecture Notes in Biomathematics, 63
Expected to ship within 10 - 15 working days
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While the ability of animals to learn rhythms is an unquestionable
fact, the underlying neurophysiological mechanisms are still no
more than conjectures. This monograph explores the requirements of
such mechanisms, reviews those previously proposed and postulates a
new one based on a direct electric coding of stimulation
frequencies. Experi mental support for the option taken is provided
both at the single neuron and neural network levels. More
specifically, the material presented divides naturally into four
parts: a description of the experimental and theoretical framework
where this work becomes meaningful (Chapter 2), a detailed
specifica tion of the pacemaker neuron model proposed together with
its valida tion through simulation (Chapter 3), an analytic study
of the behavior of this model when submitted to rhythmic
stimulation (Chapter 4) and a description of the neural network
model proposed for learning, together with an analysis of the
simulation results obtained when varying seve ral factors related
to the connectivity, the intraneuronal parameters, the initial
state and the stimulation conditions (Chapter 5). This work was
initiated at the Computer and Information Science Depart ment of
the University of Massachusetts, Amherst, and completed at the
Institut de c Lber n e t Lca of the Universitat Politecnica de
Catalunya, Barcelona. Computers at the latter place have adopted
Catalan as their mother tongue and thus some computer-made figures
in this monograph, specially those in Chapter 5, appear labeled in
that tongue."
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