کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
406492 | 678088 | 2013 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Computing with networks of spiking neurons on a biophysically motivated floating-gate based neuromorphic integrated circuit Computing with networks of spiking neurons on a biophysically motivated floating-gate based neuromorphic integrated circuit](/preview/png/406492.png)
Results are presented from several spiking network experiments performed on a novel neuromorphic integrated circuit. The networks are discussed in terms of their computational significance, which includes applications such as arbitrary spatiotemporal pattern generation and recognition, winner-take-all competition, stable generation of rhythmic outputs, and volatile memory. Analogies to the behavior of real biological neural systems are also noted. The alternatives for implementing the same computations are discussed and compared from a computational efficiency standpoint, with the conclusion that implementing neural networks on neuromorphic hardware is significantly more power efficient than numerical integration of model equations on traditional digital hardware.
Journal: Neural Networks - Volume 45, September 2013, Pages 39–49