Self-repairing hardware paradigms based on astrocyte-neuron models

Lead Research Organisation: University of Ulster
Department Name: Sch of Computing & Intelligent Systems

Abstract

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Publications

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Dr. Junxiu Liu (2019) Autonomous Learning Paradigm for Spiking Neural Networks

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Dr. Junxiu Liu (2019) GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model in Frontiers in Cellular Neuroscience

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Haji Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D. M., Tyrrell, A. M., Timmis, J., Millard, A. G., Johnson, A. (2018) FPGA-Based Fault-Injection and Data Acquisition of Self-Repairing Spiking Neural Network Hardware

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Johnson A (2018) Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective in IEEE Transactions on Circuits and Systems I: Regular Papers

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Johnson A (2018) Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks

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Johnson A (2017) Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs

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Karim S (2017) Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

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Karim S (2018) FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

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Liu J (2018) SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture. in IEEE transactions on neural networks and learning systems

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Liu J (2016) Self-Repairing Mobile Robotic Car using Astrocyte-Neuron Networks

 
Description this research has shown how the interactions between astrocytes and neurons can give rise to a fine grain self repairing paradigm. This paradigm was demonstrated on a robotic car and Ulster and also on PI swarm robots at the University of York. Also this research has shown that the self repairing algorithm is effective across large astrocyte-neural networks.
Exploitation Route Could be applied in humanoid robots and indeed other critical task applications.
Sectors Aerospace

Defence and Marine

Digital/Communication/Information Technologies (including Software)

Electronics

Manufacturing

including Industrial Biotechology

Security and Diplomacy
 
Description Dr Junxiu Liu who was a post-doc on this project has since successfully secured a Lectureship post. His research profile was enhanced from the high quality of research outputs from the project. Dr Shavn Karim who was a UU funded PhD student on this project has since successfully secured a research engineer post with the company Magics Technologies. Three PhD topics arose from the research project and successfully attracted applicants. One is now graduated and two are completing. The outcome of this project fed into a recently EPSRC funded project (Nervous Systems - EP/W003783/1) which is now in progress with partners University of York. The inspiration lies in the use of Neural Networks for fault identification in hardware.
Sector Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Electronics
Impact Types Economic
 
Description Phase 1 fundingSelf-repairing Neural Controllers for Autonomous Chemical Identification" LJ McDaid, J Harkin Centre for Defence Enterprise - DSTL funded, Phase-I Jan-July 2017
Amount £50,000 (GBP)
Organisation Defence Science & Technology Laboratory (DSTL) 
Sector Public
Country United Kingdom
Start 01/2017 
End 07/2017