Name
Title | ||
|---|---|---|
Synfire Chain Emulation By Means Of Flexible Snn Modeling On A Simd Multicore Architecture |
Abstract | ||
|---|---|---|
The implementation of a synfire chain (SFC) application that performs synchronous alignment mapped on a hardware multiprocessor architecture (SNAVA) is reported. This demonstrates a flexible SNN modeling capability of the architecture. The neural algorithm is executed by means of a digital Spiking Neural Network (SNN) emulator, using single instruction multiple data (SIMD) processing. The flexibility and capability of SNAVA to solve complex nonlinear algorithm was verified using time slot emulation on a customized neural topology. The SFC application has been implemented on an FPGA Kintex 7 using a network of 200 neurons with 7500 synaptic connections. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-44778-0_43 | ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT I |
Keywords | Field | DocType |
SNN emulation, FPGA, AER, Time slot processing, Real time, Massive parallelism | Computer architecture,Nonlinear algorithms,Computer science,Massively parallel,Field-programmable gate array,SIMD,Multicore architecture,Emulation,Spiking neural network,Synfire chain | Conference |
Volume | ISSN | Citations |
9886 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| mireya zapata | 1 | 9 | 3.45 |
| Jordi Madrenas | 2 | 150 | 27.87 |