Learning and computation in disordered networks of memristors: theory and experiments

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Title
Learning and computation in disordered networks of memristors: theory and experiments

CoPED ID
d45f88aa-491e-46ce-b712-a4233eacfd3a

Status
Closed

Funders

Value
£1,287,652

Start Date
June 30, 2010

End Date
June 29, 2013

Description

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Memristor (memory resistor) is a device whose resistance changes depending on the polarity and magnitude of a voltage applied to the device's terminals and the duration of this voltage's application. The memristor is a non-volatile memory because the specific resistance is retained until the application of another voltage. A memristor implements a material version of Boolean logic and thus any logical circuit can be constructed from memristors. We propose to fabricate in laboratory experiments an adaptive, self-organized disordered network of memristors. This practical fabrication will be backed up by rigorous computer simulation experiments. The memristor network is comprised of a conglomerate of conductive polymer fibres interspersed with particles of solid electrolyte. The conglomerate is placed on a matrix of micro-electrodes capable of recording voltage and generating current sources and sinks. Machine learning techniques will be applied in order to design logical schemes and basic arithmetical circuits.

Andrew Adamatzky PI_PER
Ben Costello COI_PER
Larry Bull COI_PER

Subjects by relevance
  1. Voltage
  2. Memristors
  3. Polymers
  4. Simulation

Extracted key phrases
  1. Memristor network
  2. Machine learning technique
  3. Disordered network
  4. Rigorous computer simulation experiment
  5. Laboratory experiment
  6. Voltage
  7. Memory resistor
  8. Volatile memory
  9. Logical circuit
  10. Specific resistance
  11. Current source
  12. Logical scheme
  13. Conductive polymer fibre
  14. Device
  15. Basic arithmetical circuit

Related Pages

UKRI project entry

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