Liquid state machine with dendritically enhanced readout for low-power, neuromorphic VLSI implementations

In this paper, we describe a new neuro-inspired, hardware-friendly readout stage for the liquid state machine (LSM), a popular model for reservoir computing. Compared to the parallel perceptron architecture trained by the p-delta algorithm, which is the state of the art in terms of performance of re...

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Bibliographic Details
Main Authors: Roy, Subhrajit, Banerjee, Amitava, Basu, Arindam
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/102407
http://hdl.handle.net/10220/24572
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Institution: Nanyang Technological University
Language: English
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