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Spiking Neural Network-based Structural Health Monitoring Hardware System

Aqib Javed, Jim Harkin, Liam McDaid, Junxiu Liu
2021 2021 IEEE Symposium Series on Computational Intelligence (SSCI)  
A key challenge is the ability to detect damages in an efficient manner for edge computing.  ...  In this work, we propose an SNN based low-cost, energy-efficient, and standalone damage classification model for SHM.  ...  A recent study has shown SNNs as an efficient and powerful classification technique for SHM [9] .  ... 
doi:10.1109/ssci50451.2021.9659844 fatcat:gthcxyvwvncapgp73fegt6k3hy

Multiple perspectives on the hardware implementations of biological neuron models and programmable design aspects

Nimet KORKMAZ, İsmail ÖZTÜRK, Recai KILIÇ
2016 Turkish Journal of Electrical Engineering and Computer Sciences  
Experimental results agree with the numerical simulations and verify the design effectiveness of FPAA-and FPGA-based implementations.  ...  The aim of this paper is to present a comparative study about programmable and reconfigurable implementations of the FitzHugh-Nagumo, Izhikevich, and Hindmarsh-Rose neuron models.  ...  Experimental measurements are monitored through a DAC block. The representation of the experimental setup of the FPGA-based HR neuron is shown in Figure 9 .  ... 
doi:10.3906/elk-1309-5 fatcat:smn2hv3hojaqlnjuugpwbf2mp4

A Neuro-Inspired Spike-Based PID Motor Controller for Multi-Motor Robots with Low Cost FPGAs

Angel Jimenez-Fernandez, Gabriel Jimenez-Moreno, Alejandro Linares-Barranco, Manuel J. Dominguez-Morales, Rafael Paz-Vicente, Anton Civit-Balcells
2012 Sensors  
In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs.  ...  This spike-based close-loop controller has been implemented into an AER platform, designed in our labs, that allows direct control of DC motors: the AER-Robot.  ...  Delbruck for the design, development and assistance for the USBAERmini2 and the jAER. This work has been supported by the Spanish VULCANO grant (TEC2009-10639-C04-02).  ... 
doi:10.3390/s120403831 pmid:22666004 pmcid:PMC3355385 fatcat:dopclx2iojdi5gxuh73wkwy4su

Low-latency single channel real-time neural spike sorting system based on template matching

Pan Ke Wang, Sio Hang Pun, Chang Hao Chen, Elizabeth A. McCullagh, Achim Klug, Anan Li, Mang I. Vai, Peng Un Mak, Tim C. Lei, Gennady Cymbalyuk
2019 PLoS ONE  
Experimental results indicated that high sorting accuracies were achieved for both template-matching methods, but CM can better handle spikes with non-Gaussian spike distributions, making it more robust  ...  Real-time recording and sorting from an awake mouse were also conducted to confirm the system performance in a typical behavioral neuroscience experimental setting.  ...  SPC is an unsupervised spike sorting method that is well accepted by the neuroscience community for off-line spike sorting studies [9, 42, 49] .  ... 
doi:10.1371/journal.pone.0225138 pmid:31756211 pmcid:PMC6874356 fatcat:vieby2ccfrbsdcpbnkpnm3mdiu

Bio-Inspired Controller on an FPGA Applied to Closed-Loop Diaphragmatic Stimulation

Adeline Zbrzeski, Yannick Bornat, Brian Hillen, Ricardo Siu, James Abbas, Ranu Jung, Sylvie Renaud
2016 Frontiers in Neuroscience  
We present an original bio-inspired assistive technology for real-time ventilation assistance, implemented in a digital configurable Field Programmable Gate Array (FPGA).  ...  The bio-inspired hardware design optimizes the FPGA resource and time costs while harnessing the computational power of spike-based neuromorphic hardware.  ...  Jennifer HASLER for valuable discussions.  ... 
doi:10.3389/fnins.2016.00275 pmid:27378844 pmcid:PMC4909776 fatcat:fdgrgypchnbq7ky6g7swni7d3m

AER-SRT: Scalable spike distribution by means of synchronous serial ring topology address event representation

Taho Dorta, Mireya Zapata, Jordi Madrenas, Giovanny Sánchez
2016 Neurocomputing  
Given the massive number of interconnects in Spiking Neural Networks (SNNs), distributing spikes effciently becomes a critical issue for the efficient hardware emulation of large-scale SNNs.  ...  In this work, the AER-SRT (Address Event Representation over Synchronous Serial Ring Topology) architecture for spike transmission is proposed.  ...  In Section 3, details about hardware implementation of an AER-SRT network interface are given. Experimental results on a FPGA prototype are shown and discussed in Section 4.  ... 
doi:10.1016/j.neucom.2015.07.080 fatcat:tukfqo3dvbapnbgdjvau52vmty

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective

Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam J. McDaid, David M. Halliday
2018 IEEE Transactions on Circuits and Systems Part 1: Regular Papers  
Although no studies discuss the power consumed by an FPGA clock management unit during a DPR, it is widely accepted that DPR is a power consuming operation and should be avoided if unnecessary [37] .  ...  SRAM-based FPGAs are particularly prone to Single Event Upsets (SEUs) [14] . This creates an issue for dependability for safety critical applications.  ...  He is currently a Collaborator on an HFSP and EPSRC Funded Project.  ... 
doi:10.1109/tcsi.2017.2726763 fatcat:ddv4ewrkdbdhxfzijsij7l6ohi

Closed-loop control of a modular neuromorphic biohybrid [article]

Hanna Keren, Johannes Partzsch, Shimon Marom, Christian Mayr
2018 arXiv   pre-print
Overall, this strategy provides an experimental access to the controllability of neural activity irregularities, when embedded in a modular organization.  ...  Neural networks modularity is a major challenge for the development of control circuits of neural activity.  ...  The NeuroSoC receives the incoming FPGA pulses via an address decoder, while an arbiter handles conflicts between outgoing pulses. The FPGA also handles the host communication and control.  ... 
arXiv:1802.07905v1 fatcat:m7luirtks5gkhj444s7jpga6e4

Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease

Chuanxin M. Niu, Sirish K. Nandyala, Terence D. Sanger
2014 Frontiers in Computational Neuroscience  
Here we demonstrate an accurate and extremely fast emulation of a muscle spindle and its spiking afferents, which are computationally expensive but fundamental for reflex functions.  ...  An essential component of our design is the proprioceptive sensor, or muscle spindle.  ...  Gerald Loeb for the help with the spindle model.  ... 
doi:10.3389/fncom.2014.00141 pmid:25538613 pmcid:PMC4255602 fatcat:3oe676ghz5be7mdp63e6xtqi6y

A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks

Hanna Keren, Johannes Partzsch, Shimon Marom, Christian G. Mayr
2019 Frontiers in Neuroscience  
This experimental setup enables an adjustable and well-monitored coupling, while providing access to key functional features of neural networks.  ...  Overall, we provide an experimental model for neuromorphic-neural interfaces, hopefully to advance the capability to interface with neural activity, and with its irregularities in pathology.  ...  Overall, we present an experimental setup for studying neural-neuromorphic coupling dynamics and impacts of stimulation on such modular constructs.  ... 
doi:10.3389/fnins.2019.00432 pmid:31133779 pmcid:PMC6517490 fatcat:klgtpn4gtjgh7imlan2xtkxwja

SpikeOnChip : A Custom Embedded Platform for Neuronal Activity Recording and Analysis

Rick Wertenbroek, Yann Thoma, Flavio Maurizio Mor, Sara Grassi, Marc Olivier Heuschkel, Adrien Roux, Luc Stoppini
2021 IEEE Transactions on Biomedical Circuits and Systems  
The presented platform provides a valuable new experimental instrument that can be further extended thanks to the programmable hardware and software.  ...  In this paper we present SpikeOnChip, a custom embedded platform for neuronal activity recording and online analysis.  ...  In the visualization tab of the spikes, several spikes are superposed on the graph for each channel, to allow the user to compare the shapes of spikes observed on a specific electrode.  ... 
doi:10.1109/tbcas.2021.3097833 pmid:34280107 fatcat:yec2pjmexjbaxcopxjo6bhyizq

FPGA simulation engine for customized construction of neural microcircuits

Hugh T. Blair, Jason Cong, Di Wu
2013 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)  
In this paper we describe an FPGA-based platform for high-performance and low-power simulation of neural microcircuits composed from integrate-and-fire (IAF) neurons.  ...  Experiments show that our FPGA simulation engine for oscillatory neural microcircuits can achieve up to 39x speedup compared to software benchmarks on commodity CPU, and 232x energy reduction compared  ...  ACKNOWLEDGEMENTS This work is supported by the Center for Domain-Specific Computing (CDSC) funded by NSF's "Expeditions in Computing" award 0926127, and in part by C-FAR, one of the six centers of STARnet  ... 
doi:10.1109/iccad.2013.6691179 dblp:conf/iccad/BlairCW13 fatcat:ngfqtq3spfffxilj66wesmwtka

FPGA Simulation Engine for Customized Construction of Neural Microcircuit

Jason Cong, Hugh T. Blair, Di Wu
2013 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines  
In this paper we describe an FPGA-based platform for high-performance and low-power simulation of neural microcircuits composed from integrate-and-fire (IAF) neurons.  ...  Experiments show that our FPGA simulation engine for oscillatory neural microcircuits can achieve up to 39× speedup compared to software benchmarks on commodity CPU, and 232× energy reduction compared  ...  Acknowledgments This work is supported by the Center for Domain-Specific Computing (CDSC) funded by NSF's "Expeditions in Computing" award 0926127, and in part by C-FAR, one of the six centers of STARnet  ... 
doi:10.1109/fccm.2013.22 pmid:25584120 pmcid:PMC4288851 dblp:conf/fccm/CongBW13 fatcat:whsmbyvzuvh6dbxappck5fpmdu

Towards a slime Mould-FPGA interface

Richard Mayne, Michail-Antisthenis Tsompanas, Georgios Ch Sirakoulis, Andrew Adamatzky
2015 Biomedical Engineering Letters  
An FPGA-based interface was chosen for this study, as FPGAs are recon- Fig. 1 Photograph of the P. polycephalum plasmodium propagating on a 2% non-nutrient agar plate, feeding on oats. figurable devices  ...  [7] in that tactile stimulation caused spikes in membrane potential, usually far exceeding 10mV (see Fig. 6 for an exemplar plot).  ... 
doi:10.1007/s13534-015-0173-3 fatcat:q4dsjwrzkfar3jch3kyoqqd4mm

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications [article]

Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri
2020 arXiv   pre-print
Furthermore, we explore how spiking neuromorphic processors can complement their DL counterparts for processing biomedical signals.  ...  With the advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors, new opportunities are emerging for applying deep and Spiking Neural Network (SNN) algorithms to healthcare and  ...  In a recent study, we have developed a comprehensive tool named MemTorch, which is an open source, general, high-level simulation platform that can fully integrate any behavioral or experimental memristive  ... 
arXiv:2007.05657v1 fatcat:amqutl3suvgq5nygna4ef36usy
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