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№1(6)-2(7)'2014 >
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http://ea.donntu.ru/handle/123456789/30713
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Название: | Моделирование нейроморфных систем на переключательном уровне |
Другие названия: | Switch-level мodeling of neuromorphic systems”. |
Авторы: | Андрюхин, А.И. Andruckin, A.I. |
Ключевые слова: | нейрон пороговая логика многозначное моделирование переключательный уровень neuron threshold logic multivalued simulation switching level |
Дата публикации: | 2014 |
Издатель: | ДонНТУ |
Библиографическое описание: | Андрюхин А. И. |
Аннотация: | The paper gives an overview of the
major hardware and software implementation models neuromorphic chips. Design framework for neuromorphic
architectures in the nano-CMOS era was presented. Our approach to the design of spiking neurons and STDP
learning circuits relies on parallel computational structures where neurons are abstracted as digital arithmetic
logic units and communication processors. Model as a biological neural systems and formal neural systems
were presented. Known model Hodgkin- Huxley and its modifications were considered. Examples of calculation
model Morris-Lecar, Hindmarsh-Rose and Fitzhugh-Nagumo were performed in the system Math 9. Cellular
neural networks, and a specific example L. Chua were considered. Hardware implementation of formal neural
systems (threshold logic) was presented. MOS implementation of neuronal adaptation is not very biologically
plausible, but simulations of adaptation suggest other possible mechanisms that may be easily implemented in a
other neuromorphic circuit. Basic threshold functions (definition and classification, basic properties and universal
implementation) were presented. Тhe possibility of a multi-valued logic simulation on the switching threshold
level for logic circuits has been considered. Theoretical and practical aspects of the method were given. A specific
example of the application of the switch-level simulation was given for threshold logic circuits.
The results, in addition to the theory of the creation of neuromorphic systems may be used in the technical
logical identification and diagnosis systems. |
URI: | http://ea.donntu.org/handle/123456789/30713 |
Располагается в коллекциях: | №1(6)-2(7)'2014
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