Implementation of a spiking neural network
Reconfigurable systems allow the implementation of hardware using a Hardware Description Language (HDL). This allows a simple implementation and on-line reconfiguration, which are big advantages when compared to traditional electronic circuits, while maintain its main advantages: parallelism and spe...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2324 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2324 |
| Resumo: | Reconfigurable systems allow the implementation of hardware using a Hardware Description Language (HDL). This allows a simple implementation and on-line reconfiguration, which are big advantages when compared to traditional electronic circuits, while maintain its main advantages: parallelism and speed. When an analogue system is considered, in this case a Field Programmable Analogue Array (FPAA), another advantage his added, the precision of the results. The neural networks allow fast outputs with low errors for complex systems. |
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