2019-03-22-Diamondetal-BiolCybern.pdf (3.66 MB)
An unsupervised neuromorphic clustering algorithm
journal contribution
posted on 2023-06-09, 17:30 authored by Alan Diamand, Michael SchmukerMichael Schmuker, Thomas NowotnyThomas NowotnyBrains perform complex tasks using a fraction of the power that would be required to do the same on a conventional computer. New neuromorphic hardware systems are now becoming widely available that are intended to emulate the more power efficient, highly parallel operation of brains. However, to use these systems in applications, we need “neuromorphic algorithms” that can run on them. Here we develop a spiking neural network model for neuromorphic hardware that uses spike timing-dependent plasticity and lateral inhibition to perform unsupervised clustering. With this model, time-invariant, rate-coded datasets can be mapped into a feature space with a specified resolution, i.e., number of clusters, using exclusively neuromorphic hardware. We developed and tested implementations on the SpiNNaker neuromorphic system and on GPUs using the GeNN framework. We show that our neuromorphic clustering algorithm achieves results comparable to those of conventional clustering algorithms such as self-organizing maps, neural gas or k-means clustering. We then combine it with a previously reported supervised neuromorphic classifier network to demonstrate its practical use as a neuromorphic preprocessing module.
Funding
Biomachinelearning: Bio-inspired Machine Learning for Chemical Sensing (fellow: Michael Schmuker); G1382; EUROPEAN UNION; PIEF-GA-2012-331892
Human Brian Project Specific Grant Agreement 2; G2410; EUROPEAN UNION; 785907
Human Brain Project: Neuromorphic Implementations of Multivariate Classification Inspired by the Olfactory System; G1359; EUROPEAN UNION; 604102 HBP NEUROCLASSIOS
Odor-background segregation and source localization using fast olfactory processing; G1652; HUMAN FRONTIER SCIENCE PROGRAM (HFSP); RGP0053/2015
Human Brain Project Specific Grant Agreement 1 - HBP SGA1; G1972; EUROPEAN UNION; 72027
History
Publication status
- Published
File Version
- Published version
Journal
Biological CyberneticsISSN
0340-1200Publisher
SpringerExternal DOI
Department affiliated with
- Informatics Publications
Research groups affiliated with
- Centre for Computational Neuroscience and Robotics Publications
- Evolutionary and Adaptive Systems Research Group Publications
Full text available
- Yes
Peer reviewed?
- Yes