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AuthorGenรญs, Carme Torras i. author
TitleTemporal-Pattern Learning in Neural Models [electronic resource] / by Carme Torras i Genรญs
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1985
Connect tohttp://dx.doi.org/10.1007/978-3-642-51580-4
Descript VII, 227 p. 3 illus. online resource

SUMMARY

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. Experiยญ 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 specificaยญ tion of the pacemaker neuron model proposed together with its validaยญ 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 seveยญ 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 Departยญ 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


CONTENT

1 โ{128}{148} Introduction -- 2 โ{128}{148} Experimental Data and Previous Models -- 3 โ{128}{148} Modelling and Simulation of a Plastic Pacemaker Neuron -- 4 โ{128}{148} Analytic Study of the Entrainment Patterns -- 5 โ{128}{148} Modelling and Simulation of a Network of Plastic Pacemaker Neurons -- 6 โ{128}{148} Conclusions and Future Prospects -- A โ{128}{148} Neuronal physiology. -- B โ{128}{148} Properties of mappings from the unit circle onto itself. -- C โ{128}{148} Glossary of Catalan labels in computer-made figures. -- References


Mathematics Algebra Applied mathematics Engineering mathematics Biomathematics Mathematics Applications of Mathematics Algebra Mathematical and Computational Biology



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