Reconfigurable field‐programmable gate array‐based on‐chip learning neuromorphic digital implementation for nonlinear function approximation

Author(s):  
Morteza Gholami ◽  
Edris Zaman Farsa ◽  
Gholamreza Karimi
2020 ◽  
Vol 148 (4) ◽  
pp. 2508-2508
Author(s):  
Ross Snider ◽  
Matthew Blunt ◽  
Trevor Vannoy ◽  
Dustin Sobrero ◽  
Dylan Wickham ◽  
...  

2012 ◽  
Vol 22 (06) ◽  
pp. 1250143 ◽  
Author(s):  
M. AFFAN ZIDAN ◽  
A. G. RADWAN ◽  
K. N. SALAMA

In this paper, a new controllable V-shape multiscroll attractor is presented, where a variety of symmetrical and unsymmetrical attractors with a variable number of scrolls can be controlled using new staircase nonlinear function and the parameters of the system. This attractor can be used to generate random signals with a variety of symbol distribution. Digital implementation of the proposed generator is also presented using a Xilinx Virtex® 4 Field Programmable Gate Array and experimental results are provided. The digital realization easily fits into a small area (<1.5% of the total area) and expresses a high throughput (4.3 Gbit/sec per state variable).


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