analog VLSI for neural systems

E645816

analog integrated circuit design methodology hardware implementation of neural networks neuromorphic engineering approach

Analog VLSI for neural systems is a pioneering approach to designing low-power, hardware-based neural network and neuromorphic circuits that mimic biological computation using analog very-large-scale integration technology.

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Statements (51)

Predicate	Object
instanceOf	analog integrated circuit design methodology ⓘ hardware implementation of neural networks ⓘ neuromorphic engineering approach ⓘ
aimsTo	achieve low-power computation ⓘ achieve real-time neural processing ⓘ implement neural network models in hardware ⓘ mimic biological computation ⓘ
appliedIn	autonomous systems ⓘ edge AI devices ⓘ pattern recognition ⓘ robotics ⓘ sensory prostheses ⓘ
benefitsFrom	analog noise for stochastic computation ⓘ device mismatch for computational diversity ⓘ
characterizedBy	continuous-time analog computation ⓘ device-level exploitation of transistor physics ⓘ local memory and computation co-location ⓘ low energy per operation ⓘ massive parallelism ⓘ use of subthreshold transistor operation ⓘ
contrastedWith	digital neural network accelerators ⓘ software-based neural network simulation ⓘ
enables	embedded neuromorphic systems ⓘ on-chip learning mechanisms ⓘ real-time sensory processing ⓘ
facesChallenge	design complexity at large scale ⓘ limited precision ⓘ process variability ⓘ
fieldOfStudy	VLSI circuit design ⓘ computational neuroscience ⓘ machine learning hardware ⓘ neuromorphic engineering NERFINISHED ⓘ
implements	artificial neurons ⓘ artificial synapses ⓘ feature extraction circuits ⓘ learning rules such as Hebbian learning ⓘ normalization circuits ⓘ winner-take-all circuits ⓘ
models	neuronal dynamics ⓘ plasticity mechanisms ⓘ synaptic dynamics ⓘ
relatedTo	adaptive learning circuits ⓘ biologically inspired computation ⓘ event-driven computation ⓘ low-power signal processing ⓘ mixed-signal VLSI ⓘ sensory processing circuits ⓘ silicon cochleas ⓘ silicon retinas ⓘ spiking neural networks ⓘ
usesTechnology	analog very-large-scale integration ⓘ

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Carver A. Mead → knownFor → analog VLSI for neural systems ⓘ