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Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware

James C. Knight, Philip J. Tully, Bernhard A. Kaplan, Anders Lansner, Steve B. Furber
2016 Frontiers in Neuroanatomy  
Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker system is a general-purpose ARM processor, allowing it to be programmed to simulate a wide variety of neuron  ...  We also run a comparable simulation on a Cray XC-30 supercomputer system and find that, if it is to match the run-time of our SpiNNaker simulation, the super computer system uses approximately 45× more  ...  Although this memory hierarchy is somewhat unusual, the lack of global shared memory means that many of the problems of simulating large spiking neural networks on a SpiNNaker system are shared with more  ... 
doi:10.3389/fnana.2016.00037 pmid:27092061 pmcid:PMC4823276 fatcat:43qnr4rdsbhlzax337w3mxjnye

Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware

Andreas Stöckel, Christoph Jenzen, Michael Thies, Ulrich Rückert
2017 Frontiers in Computational Neuroscience  
In this paper we describe a scalable benchmark based on a spiking neural network implementation of the binary neural associative memory.  ...  Large-scale neuromorphic hardware platforms, specialized computer systems for energy efficient simulation of spiking neural networks, are being developed around the world, for example as part of the European  ...  The hardware systems SpiNNaker and Spikey were provided by Manchester University (Group of S. Furber) and Heidelberg University (K. Meier) respectively.  ... 
doi:10.3389/fncom.2017.00071 pmid:28878642 pmcid:PMC5572441 fatcat:twty25ev65fulcm3f6ftgotztu

A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems

Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang, Si Wu, Huanglong Li
2021 Advanced Intelligent Systems  
The modern concept of such artificial intelligent system began to be developed with the onset of the Industrial Revolution, which allowed the use of complex mechanics.  ...  The human brain is a powerful natural information processing system that has evolved over millions of years.  ...  Acknowledgements The authors acknowledge funding from National Natural Science Foundation (Grant no.  ... 
doi:10.1002/aisy.202100054 fatcat:q5eqa2kiujaj7bjxcxiefgoyvi

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware [article]

Denis Kleyko, Mike Davies, E. Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
2021 arXiv   pre-print
This article reviews recent progress in the development of the computing framework Vector Symbolic Architectures (also known as Hyperdimensional Computing).  ...  This latter property opens the door to efficient solutions to the difficult combinatorial search problems inherent in AI applications.  ...  Most of the studies were done using simulations in Nengo [Bekolay et al., 2014] , which is a Python-based package for simulating large-scale spiking neural networks.  ... 
arXiv:2106.05268v1 fatcat:7atbowwq7jcrrmzkiewfkpd6mu