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  1. Journal on Emerging Technologies in Computing Systems (JETC)
  2. ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 11
  3. Issue 4(Special Issues on Neuromorphic Computing and Emerging Many-Core Systems for Exascale Computing), April 2015
  4. Large-Scale Spiking Neural Networks using Neuromorphic Hardware Compatible Models
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ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 13
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 11
Issue 4(Special Issues on Neuromorphic Computing and Emerging Many-Core Systems for Exascale Computing), April 2015
Introduction to Special Issue on Neuromorphic Computing
Toward a Sparse Self-Organizing Map for Neuromorphic Architectures
On-Chip Universal Supervised Learning Methods for Neuro-Inspired Block of Memristive Nanodevices
Fully Binary Neural Network Model and Optimized Hardware Architectures for Associative Memories
Large-Scale Spiking Neural Networks using Neuromorphic Hardware Compatible Models
Randomly Spiking Dynamic Neural Fields
A Reconfigurable Digital Neuromorphic Processor with Memristive Synaptic Crossbar for Cognitive Computing
Special Issue on Emerging Many-Core Systems for Exascale Computing
Architecture and Implementation of Dynamic Parallelism, Voltage and Frequency Scaling (PVFS) on CGRAs
Improving Performance in Sub-Block Caches with Optimized Replacement Policies
iConn: A Communication Infrastructure for Heterogeneous Computing Architectures
Analytical Reliability Analysis of 3D NoC under TSV Failure
Issue 3(Special Issue on Computational Synthetic Biology and Regular Papers), December 2014
Issue 2(Special Issue on Reversible Computation and Regular Papers), November 2014
Issue 1, September 2014
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 10
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 9
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 8
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 7
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 6
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 5
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 4
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 3
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 2
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 1

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Large-Scale Spiking Neural Networks using Neuromorphic Hardware Compatible Models

Content Provider ACM Digital Library
Author Krichmar, Jeffrey L Coussy, Philippe Dutt, Nikil
Copyright Year 2015
Abstract Neuromorphic engineering is a fast growing field with great potential in both understanding the function of the brain, and constructing practical artifacts that build upon this understanding. For these novel chips and hardware to be useful, hardware compatible applications and simulation tools are needed. We argue that the neural circuit approach, in which networks of neuronal elements model brain circuitry are constructed, allows the development of practical applications and the exploration of brain function. At this level of abstraction, networks of $10^{5}$ neurons or larger can be efficiently simulated, but still preserve the neuronal and synaptic dynamics that appear to be important for brain function. Because the neural circuit level supports spiking neural networks and the prevalent Addressable Event Representation (AER) communication scheme, it fits well with many existing neuromorphic hardware and simulation tools. To show how this approach can be applied, we present case studies of spiking neural networks in vision and recognition tasks based on one instantiation of a simulation environment. However, there are now many hardware options, simulation environments, and applications in this emerging field. These approaches and other considerations are discussed.
Starting Page 1
Ending Page 18
Page Count 18
File Format PDF
ISSN 15504832
e-ISSN 15504840
DOI 10.1145/2629509
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 11
Issue Number 4
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-04-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword GPU computing Spiking neural networks Large-scale brain models Neuromorphic engineering Simulation tools
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Hardware and Architecture Nanoscience and Nanotechnology Software
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