Vu Huy The の履歴(No.2) - ASL Wiki

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NASH: Neuro-inspired ArchitectureS in Hardware Project

Doctoral Topic: Adaptive Highly Reconfigurable Deep Learning Processor for Spiking Neural Networks with Scalable Packet-Switched Network

Background †

Project Goal†

Implementation of an adaptive highly reconfigurable deep learning processor for Spiking Neural Networks with Scalable Packet-Switched Network. In particular, the research consists of:

(1) An efficient adaptive configuration method which enables reconfiguration of different SNN parameters (spike weights, routing, hidden layers, topology, etc.)

(2) A mixture of different topologies (CNN,RNN ...) will be investigated

(3) Efficient on-chip learning Algorithm

(4) To demonstrate the performance of the algorithms and the system, an FPGA implementation shall be developed and interfaced to a small drone. In addition, a VLSI implementation shall be also developed.

Research schedule†

Oct. to Feb. 2017 †

Step 5 Due date: March 10, 2017†

Step 5.1 Propose a Low-power, Light-weight Learning Circuit/Algorithm for NASH System. (NASH stands for 'Neuro-inspired ArchitectureS in Hardware' Project in ASL)

References:
- 1. 2016: A Low-voltage, Low power STDP Synapse implementation using Domain-WallMagnets for Spiking Neural Networks

2. 2013: FPGA-based Architecture for Real-time Synaptic Plasticity computation

3. 2006: PhD Thesis -Theory of non-linear spike-time-dependent plasticity

4. Demonstration of STDP based Neural Networks on an FPGA

5. Neuron Models on FPGA, Verilog HDL

6.Design of silicon brains in the nano-CMOS era: Spiking neurons,learning synapses and neural architecture optimization, A.S. Cassidy et al. / Neural Networks 45 (2013) 4–26

ACM Spectial Isssues

ACM:Special Issue on Hardware and Algorithms for Learning On-a-chip, Feb 2017

ACM:Special Issue on Neuromorphic Computing,Volume 11 Issue 4, April 2015

ACM:Special issue on memory technologies Volume 9 Issue 2, May 2013

Achievement†

Survey reports†

A Survey of Neuro-inspired Computing Systems (01/16/2017, Time:12:25 PM)(latex)

A Comparison between OASIS NoC and Conventional Wormhole NoC systems (12/8/2016, Time:14:08 PM ) (latex)

OASIS NoC Survey (11/29/2016, Time:15:55 PM) (latex)

References †

Site Updates Record†

3/6/2017: site updated, B.
2/17/2017: site update, B.
1/13/2017: added new ref, B.
12/8/2016: updated the research step deadlines, B.
12/6/2016: updated the research goal and the background, B.
Nov. 24,2016, updated Step 1.2, B.
Nov. 22,2016, Ref. added to Step 2, B.
Nov. 18, 2016, site updated, Ben
Nov. 11, 2016 - Research Schedule updated, B.
Nov. 8, 2016 - page created, B.