Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642354
Title: Spike timing dependent adaptation : minimising the effect of transistor mismatch in an analogue VLSI neuromorphic system
Author: Cameron, Katherine
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2006
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Abstract:
Neuromorphic systems often call for sub-threshold operation where transistor mismatch is a particular problem and this mismatch can affect the time constants of the design. This work is an investigation into whether Spike Timing Dependent Plasticity (STDP), a neural algorithm capable of adapting time delays within neural systems, can provide a method to minimise the effect of transistor match. This work is set within the context of a depth-from-motion algorithm, the performance of which will be degraded by mismatch when implemented in analogue VLSI. A circuit is designed which predicts the arrival of a spike from the timing of two earlier spikes. The error between the actual spike arrival time and the prediction is used to improve future predictions. Two spike timing dependent adaptation methods are described. These were fabricated using an AMS 0.35μm process and the results are reported. The key measure is the prediction error: before adaptation the error reflects the amount of mismatch within the prediction circuitry; after adaptation the error indicates to what extent the adaptive circuitry can minimise the effect of transistor mismatch. For both designs it is shown that the effect of transistor mismatch can be greatly reduced through spike timing dependent adaptation.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.642354  DOI: Not available
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