Digital system for spiking neural network emulation

Author's e-mailemallorqui
outlook.com

CovenanteeFundació Centre de Regulació Genòmica
Document typeBachelor thesis
Date2017-05-31
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
Attribution-NonCommercial-ShareAlike 3.0 Spain
Abstract
The present project is about the design, simulation and an experimentational test of a digital system in
a single chip able to emulate the behavior of spiking neural networks, which is possible thanks to the
use of mathematical models that emulate the behavior of these networks in the brain. A modular
system has been proposed in order to provide the necessary flexibility and scalability for the simulation
of different neural networks. At the same time the most flexible, simple and efficient option has been
chosen in order to have a good performance without losing or reducing the necessary accuracy and
exactitude for the emulation of the neural networks. The solution has been implemented by making
use of different combinational blocks and totally synchronous flip-flops from a 100 MHz clock signal,
besides, the description of the system was performed by using the high-level hardware description
language VHDL. Finally, a neural network for pattern recognition has been implemented on a
programmable logical device FPGA in order to demonstrate the correct operation of the digital system.
DegreeGRAU EN ENGINYERIA ELECTRÒNICA INDUSTRIAL I AUTOMÀTICA (Pla 2009)
Files | Description | Size | Format | View |
---|---|---|---|---|
TFG - Digital System for SNN Emulation.pdf | Report - Cost Estimation - Annexes | 3,647Mb | View/Open |