Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
Sebastian SchmittJohann KlaehnGuillaume BellecAndreas GrüblMaurice GuettlerAndreas HartelStephan HartmannDan Husmann de OliveiraKai HusmannVitali KarasenkoMitja KleiderChristoph KokeChristian MauchEric MüllerPaul MüllerJohannes PartzschMihai A. PetroviciStefan SchieferStefan ScholzeBernhard VoggingerRobert LegensteinWolfgang MaassChristian MayrJohannes SchemmelKarlheinz MeierPublished in: CoRR (2017)
Keyphrases
- low cost
- spiking neural networks
- network structure
- training examples
- massively parallel
- radial basis function network
- recurrent networks
- peer to peer
- training set
- real time
- hebbian learning
- wireless sensor networks
- complex networks
- feed forward
- communication networks
- network model
- computer systems
- spiking neurons
- network traffic
- computer networks
- semiconductor manufacturing
- content addressable
- abstraction layer
- learning rules
- training algorithm
- hardware and software
- training samples
- scale space
- supervised learning
- image processing
- neural network