Stability properties of cerebellar neural networks : The Purkinje cell - climbing fiber dynamic module
In the last few decades it has been proven, that the cerebellum takes part in learning the bulk of motor control. The mechanisms which provide such properties are still largely unknown, but an involvement of parallel fibers and climbing fibers in this process, as have been proposed decades ago in ce...
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| Veröffentlicht in: | Neural processing letters 1999-04, Vol.9 (2), p.97-106 |
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| container_title | Neural processing letters |
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| creator | DUNIN-BARKOWSKI, W. L SHISHKIN, S. L WUNSCH, D. C |
| description | In the last few decades it has been proven, that the cerebellum takes part in learning the bulk of motor control. The mechanisms which provide such properties are still largely unknown, but an involvement of parallel fibers and climbing fibers in this process, as have been proposed decades ago in cerebellar learning theories, is now clear. Among difficulties of the learning theories is an evident necessity for spontaneous activity of the cerebellar climbing fibers [5]. Recently, the group of M. Mauk proposed an elegant explanation of this inconsistency [11, 12]. We present here a stochastic model of a cerebellar module, based on this new approach. Theoretical treatment yields some consequences for experimental verification. Besides an explanation of real cerebellar functions, the analyzed control system presents a new paradigm for neural network memorizing systems. |
| doi_str_mv | 10.1023/A:1018634805731 |
| format | Article |
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| ispartof | Neural processing letters, 1999-04, Vol.9 (2), p.97-106 |
| issn | 1370-4621 1573-773X |
| language | eng |
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| source | ProQuest Central UK/Ireland; SpringerLink Journals - AutoHoldings; ProQuest Central |
| subjects | Biological and medical sciences Cerebellum Computer control systems Control system analysis Dynamic stability Fibers Fundamental and applied biological sciences. Psychology General aspects. Models. Methods Intelligent control Learning Mathematical models Modules Neural networks Random processes Stochastic models System stability Vertebrates: nervous system and sense organs |
| title | Stability properties of cerebellar neural networks : The Purkinje cell - climbing fiber dynamic module |
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