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
High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays
Farnood Merrikh-Bayat,Xinjie Guo,Michael Klachko,Mirko Prezioso,Konstantin K. Likharev,Dmitri B. Strukov +5 more
TL;DR: Estimates show that a straightforward optimization of the hardware and its transfer to the already available 55-nm technology may increase this advantage to more than the best reported digital implementations of the same task.
Journal ArticleDOI
An artificial neuron implemented on an actual quantum processor
TL;DR: In this article, a quantum information-based algorithm is proposed to implement the quantum computer version of a binary-valued perceptron, which shows exponential advantage in storage resources over alternative realizations.
Journal ArticleDOI
Memristive Synapses and Neurons for Bioinspired Computing
Rui Yang,He-Ming Huang,Xin Guo +2 more
TL;DR: Approaches to realize certain synaptic or neuronal functions are introduced with state‐of‐art experimental demonstrations and approaches to realize the important learning rules, like spiking‐timing‐dependent plasticity and Bienenstock–Cooper–Munro learning rules are elaborated according to the level of faithfulness to biological synapses.
Journal ArticleDOI
Ferroelectric Tunneling Junctions Based on Aluminum Oxide/ Zirconium-Doped Hafnium Oxide for Neuromorphic Computing.
TL;DR: A new type of FTJ based on metal/Al2O3/Zr-doped HfO2/Si structure is proposed and it is found that F-N tunneling dominates at read voltages and that the polarization switching in HZO can alter the effective tunneling barrier height and tune the tunneling resistance.
Journal ArticleDOI
Artificial Neuron and Synapse Realized in an Antiferromagnet/Ferromagnet Heterostructure Using Dynamics of Spin-Orbit Torque Switching.
Aleksandr Kurenkov,Samik DuttaGupta,Chaoliang Zhang,Shunsuke Fukami,Yoshihiko Horio,Hideo Ohno +5 more
TL;DR: Key functionalities of a synapse (spike-timing-dependent plasticity) and a neuron are reproduced in the same material and on the basis of the same working principle, opening a way toward spintronics-based neuromorphic hardware that executes cognitive tasks with the efficiency of the human brain.
References
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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.
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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.
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Neuronal circuits of the neocortex
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