Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system.
Sebastian SchmittJohann KlähnGuillaume BellecAndreas GrüblMaurice GüttlerAndreas HartelStephan HartmannDan Husmann de OliveiraKai HusmannSebastian JeltschVitali KarasenkoMitja KleiderChristoph KokeAlexander KononovChristian MauchEric MüllerPaul MüllerJohannes PartzschMihai A. PetroviciStefan SchieferStefan ScholzeVasilis N. ThanasoulisBernhard VoggingerRobert LegensteinWolfgang MaassChristian MayrRené SchüffnyJohannes SchemmelKarlheinz MeierPublished in: IJCNN (2017)
Keyphrases
- spiking neural networks
- massively parallel
- peer to peer
- real time
- recurrent networks
- semiconductor manufacturing
- network architecture
- image processing
- hardware and software
- network model
- training process
- supervised learning
- complex networks
- training set
- feedback loop
- spiking neurons
- integrated circuit
- hardware implementation
- computer networks
- network traffic
- scale space
- multilayer neural network
- content addressable
- deep architectures
- abstraction layer
- radial basis function network
- computing platform
- computing systems
- low cost
- neural network