Journal ArticleDOI
A million spiking-neuron integrated circuit with a scalable communication network and interface
Paul A. Merolla,John V. Arthur,Rodrigo Alvarez-Icaza,Andrew S. Cassidy,Jun Sawada,Filipp Akopyan,Bryan L. Jackson,Nabil Imam,Chen Guo,Yutaka Nakamura,Bernard Brezzo,Ivan Vo,Steven K. Esser,Rathinakumar Appuswamy,Brian Taba,Arnon Amir,Myron D. Flickner,William P. Risk,Rajit Manohar,Dharmendra S. Modha +19 more
TLDR
Inspired by the brain’s structure, an efficient, scalable, and flexible non–von Neumann architecture is developed that leverages contemporary silicon technology and is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification.Abstract:
Inspired by the brain’s structure, we have developed an efficient, scalable, and flexible non–von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic cores interconnected via an intrachip network that integrates 1 million programmable spiking neurons and 256 million configurable synapses. Chips can be tiled in two dimensions via an interchip communication interface, seamlessly scaling the architecture to a cortexlike sheet of arbitrary size. The architecture is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification. With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts.read more
Citations
More filters
Journal ArticleDOI
Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture
TL;DR: This paper describes in detail the functioning and organization of the latest version of a 3D spatio-temporal SNN-based data machine framework called NeuCube, as well as it’s Snn-related submodules.
Posted Content
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient.
TL;DR: This work proposes two approaches to address the challenges of gradient input incompatibility and gradient vanishing and design a gradient to spike converter to convert continuous gradients to ternary ones compatible with spike inputs and builds an adversarial attack methodology for SNNs trained by supervised algorithms.
Journal ArticleDOI
Graphitic carbon nitride nanosheets for solution processed non-volatile memory devices
Ruopeng Wang,Huilin Li,Luhong Zhang,Yu-Jia Zeng,Ziyu Lv,Jia-Qin Yang,Jing-Yu Mao,Zhanpeng Wang,Ye Zhou,Su-Ting Han +9 more
TL;DR: In this paper, two-dimensional graphitic carbon nitride (g-C3N4) nanosheets with a mass of carrier trapping sites are employed as the active layer of resistive random access memory (RRAM) devices.
Journal ArticleDOI
Temporal Learning Using Second-Order Memristors
TL;DR: The ability of second-order memristors to process information in the time domain is shown, and a memristive STDP network that can learn and classify temporal as well as classical data patterns is discussed.
Journal ArticleDOI
Resonate and fire neuron with fixed magnetic skyrmions
TL;DR: This work investigates theoretically the artificial implementation of "resonate-and-fire" neurons by utilizing the magnetization dynamics of a fixed magnetic skyrmion in the free layer of a magnetic tunnel junction (MTJ), and investigates the interspike timing dependence and response to different excitatory and inhibitory incoming input pulses.
References
More filters
Journal ArticleDOI
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
David H. Hubel,Torsten N. Wiesel +1 more
TL;DR: This method is used to examine receptive fields of a more complex type and to make additional observations on binocular interaction and this approach is necessary in order to understand the behaviour of individual cells, but it fails to deal with the problem of the relationship of one cell to its neighbours.
Journal ArticleDOI
Can programming be liberated from the von Neumann style?: a functional style and its algebra of programs
TL;DR: A new class of computing systems uses the functional programming style both in its programming language and in its state transition rules; these systems have semantics loosely coupled to states—only one state transition occurs per major computation.
Journal ArticleDOI
Object vision and spatial vision: two cortical pathways
TL;DR: Evidence is reviewed indicating that striate cortex in the monkey is the source of two multisynaptic corticocortical pathways, one of which enables the visual identification of objects and the other allows instead the visual location of objects.
Journal ArticleDOI
Modality and topographic properties of single neurons of cat's somatic sensory cortex.
TL;DR: Observations upon the modality and topographical attributes of single neurons of the first somatic sensory area of the cat’s cerebral cortex, the analogue of the cortex of the postcentral gyrus in the primate brain, support an hypothesis of the functional organization of this cortical area.
Journal ArticleDOI
Neuronal circuits of the neocortex
TL;DR: It is found that, as has long been suspected by cortical neuroanatomists, the same basic laminar and tangential organization of the excitatory neurons of the neocortex is evident wherever it has been sought.
Related Papers (5)
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Michael Davies,Narayan Srinivasa,Tsung-Han Lin,Gautham N. Chinya,Cao Yongqiang,Sri Harsha Choday,Georgios D. Dimou,Prasad Joshi,Nabil Imam,Shweta Jain,Yuyun Liao,Chit-Kwan Lin,Andrew Lines,Ruokun Liu,Deepak A. Mathaikutty,Steven McCoy,Arnab Paul,Jonathan Tse,Guruguhanathan Venkataramanan,Yi-Hsin Weng,Andreas Wild,Yoon Seok Yang,Hong Wang +22 more