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
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Journal ArticleDOI
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing.
TL;DR: In this article, a residual stochastic multilayer convolutional spiking neural network (SNN) composed of binary kernels is proposed to reduce the synaptic memory footprint and enhance the computational efficiency of SNNs for complex pattern recognition tasks.
Journal ArticleDOI
To Spike or Not to Spike: That Is the Question
TL;DR: Recent progress in understanding how complex computations can be carried out with such stochastically spiking neurons is discussed, and the viability of such a merger is examined.
Journal ArticleDOI
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity
Christian-Gernot Pehle,Sebastian Billaudelle,Benjamin Cramer,Jakob Kaiser,Korbinian Schreiber,Yannik Stradmann,Johannes Weis,Aron Leibfried,Eric Müller,Johannes Schemmel +9 more
TL;DR: The second generation of the BrainScaleS neuromorphic architecture is described, which combines a custom analog accelerator core supporting the accelerated physical emulation of bio-inspired spiking neural network primitives with a tightly coupled digital processor and a digital event-routing network.
Journal ArticleDOI
Imitating the brain with neurocomputer a “new” way towards artificial general intelligence
TL;DR: The neurocomputer is compared with the conventional computer and the philosophy under the “new” approach, so-called as imitationalism in this paper, is the engineering methodology which has been practiced for thousands of years, and for many cases, such as the invention of the first airplane, succeeded.
Journal ArticleDOI
Efficient CMOS Invertible Logic Using Stochastic Computing
TL;DR: This paper presents a design methodology for invertible stochastic gates, which can be implemented using a small amount of CMOS hardware and proves that the design can not only correctly implement the basic gates with invertable capability but can also be extended to construct invertibles stochastics adder and multiplier circuits.
References
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Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
David H. Hubel,Torsten N. Wiesel +1 more
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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.
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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
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