Journal ArticleDOI
Compact silicon neuron circuit with spiking and bursting behaviour
Jayawan H B Wijekoon,Piotr Dudek +1 more
TLDR
The neuron cell provides an area and energy efficient implementation of the silicon cortical neuron, and could be used as a universal neuron circuit in VLSI neuromorphic networks that closely resemble the circuits of the cortex.About:
This article is published in Neural Networks.The article was published on 2008-03-01. It has received 255 citations till now. The article focuses on the topics: Bursting & Integrated circuit.read more
Citations
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Journal ArticleDOI
Neuromorphic Silicon Neuron Circuits
Giacomo Indiveri,Bernabe Linares-Barranco,Tara Julia Hamilton,André van Schaik,Ralph Etienne-Cummings,Tobi Delbruck,Shih-Chii Liu,Piotr Dudek,Philipp Hafliger,Sylvie Renaud,Johannes Schemmel,Gert Cauwenberghs,John V. Arthur,Kai Hynna,Fopefolu Folowosele,Sylvain Saïghi,Teresa Serrano-Gotarredona,Jayawan H B Wijekoon,Yingxue Wang,Kwabena Boahen +19 more
TL;DR: The most common building blocks and techniques used to implement these circuits, and an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin–Huxley models to bi-dimensional generalized adaptive integrate and fire models.
Journal ArticleDOI
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
Takeo Ohno,Tsuyoshi Hasegawa,Tohru Tsuruoka,Kazuya Terabe,James K. Gimzewski,James K. Gimzewski,Masakazu Aono +6 more
TL;DR: The discovery of a Ag(2)S inorganic synapse is reported, which emulates the synaptic functions of both STP and LTP characteristics through the use of input pulse repetition time and indicates a breakthrough in mimicking synaptic behaviour essential for the further creation of artificial neural systems that emulate characteristics of human memory.
Journal ArticleDOI
Artificial neural networks in hardware: A survey of two decades of progress
Janardan Misra,Indranil Saha +1 more
TL;DR: This article presents a comprehensive overview of the hardware realizations of artificial neural network models, known as hardware neural networks (HNN), appearing in academic studies as prototypes as well as in commercial use.
Posted Content
A Survey of Neuromorphic Computing and Neural Networks in Hardware.
Catherine D. Schuman,Thomas E. Potok,Robert M. Patton,J. Douglas Birdwell,Mark Edward Dean,Garrett S. Rose,James S. Plank +6 more
TL;DR: An exhaustive review of the research conducted in neuromorphic computing since the inception of the term is provided to motivate further work by illuminating gaps in the field where new research is needed.
Journal ArticleDOI
A comprehensive review on emerging artificial neuromorphic devices
TL;DR: A comprehensive review on emerging artificial neuromorphic devices and their applications is offered, showing that anion/cation migration-based memristive devices, phase change, and spintronic synapses have been quite mature and possess excellent stability as a memory device, yet they still suffer from challenges in weight updating linearity and symmetry.
References
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Journal ArticleDOI
Simple model of spiking neurons
TL;DR: A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons and combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons.
Journal ArticleDOI
Interneurons of the neocortical inhibitory system.
TL;DR: This review focuses on the organizing principles that govern the diversity of inhibitory interneurons and their circuits.
Journal ArticleDOI
Intrinsic firing patterns of diverse neocortical neurons.
TL;DR: The different firing properties of neurons in neocortex contribute significantly to its network behavior, particularly in response to current steps.
Journal ArticleDOI
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
TL;DR: In this article, a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an asynchronous event based communication infrastructure is presented.
Journal ArticleDOI
A silicon neuron.
Misha Mahowald,Rodney J. Douglas +1 more
TL;DR: The silicon neuron is an analog integrated circuit with the functional characteristics of real nerve cells and represents a step towards constructing artificial nervous systems that use more realistic principles of neural computation than do existing electronic neural networks.
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Neuromorphic Silicon Neuron Circuits
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