Neurosynaptic Computational Elements for Adaptive Transient Synchrony: Biophysical Accuracy versus Hardware Complexity
| Autor: | Amir Zjajo |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Flexibility (engineering)
Signal processing Virtex Computer science 020208 electrical & electronic engineering 02 engineering and technology Parallel computing 03 medical and health sciences Task (computing) 0302 clinical medicine Hardware complexity 0202 electrical engineering electronic engineering information engineering Transient (computer programming) Field-programmable gate array 030217 neurology & neurosurgery |
| Zdroj: | IWCIA |
| DOI: | 10.1109/iwcia47330.2019.8955105 |
| Popis: | In this paper, we examine electro-chemically accurate, multi-compartment, neurosynaptic computational elements, and analyze their complexity, accuracy, and flexibility in signal processing of a time-varying task. We evaluate distributed patterns of simultaneously firing neurons in space and time, and we establish a transient synchrony and homeostatic regulation mechanism upon the underlying synaptic connectivity. With synchronic spiking, we form synchronous groups of neuronal subpopulations, which represent content forming a coherent entity. The neurosynaptic computational elements implemented on Xilinx Virtex 7 XC7VX550 FPGA board illustrate feasibility of the methodology. |
| Databáze: | OpenAIRE |
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