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Snider et al., 2011 - Google Patents

From synapses to circuitry: Using memristive memory to explore the electronic brain

Snider et al., 2011

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Document ID
3611889649290398377
Author
Snider G
Amerson R
Carter D
Abdalla H
Qureshi M
Léveillé J
Versace M
Ames H
Patrick S
Chandler B
Gorchetchnikov A
Mingolla E
Publication year
Publication venue
Computer

External Links

Snippet

In a synchronous digital platform for building large cognitive models, memristive nanodevices form dense, resistive memories that can be placed close to conventional processing circuitry. Through adaptive transformations, the devices can interact with the …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06N3/10Simulation on general purpose computers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
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    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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