Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines

• Main Authors: Roy, Subhrajit, Basu, Arindam, Hussain, Shaista
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/99863; http://hdl.handle.net/10220/19535
• Institution: Nanyang Technological University

In this article, we describe a new neuro-inspired, hardware-friendly readout stage for the liquid state machine (LSM) that is suitable for on-sensor computing in resource constrained applications. Compared to the state of the art parallel perceptron readout (PPR), our readout architecture and learni...