Classification of multivariate data with a spiking neural network on neuromorphic hardware
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2202
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Classification of multivariate data with a spiking neural network on neuromorphic hardware ; volume:14 ; number:1 ; day:8 ; month:7 ; year:2013 ; pages:1 ; date:7.2013
BMC neuroscience ; 14, Heft 1 (8.7.2013), 1, 7.2013
- Urheber
-
Schmuker, Michael
- Beteiligte Personen und Organisationen
-
Pfeil, Thomas
Nawrot, Martin P.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2202-14-S1-P290
- URN
-
urn:nbn:de:1111-2016032120136
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Schmuker, Michael
- Pfeil, Thomas
- Nawrot, Martin P.
- SpringerLink (Online service)
Ähnliche Objekte (12)
The backpropagation algorithm implemented on spiking neuromorphic hardware
Solving dynamical systems in neuromorphic hardware: simulation studies using balanced spiking networks
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
Design space exploration of associative memories using spiking neurons with respect to neuromorphic hardware implementations
Optimizing Spiking Neuromorphic Networks for Information Processing
Benchmarking of Neuromorphic Hardware Systems
Neuromorphic hardware for somatosensory neuroprostheses
Solving Max‐Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change Memory
Think local, act global: robust and real-time movement encoding in spiking neural networks using neuromorphic hardware
Modern semiconductor technologies for neuromorphic hardware
A Raspberry Pi controlling neuromorphic hardware
Modern Semiconductor Technologies for Neuromorphic Hardware
The backpropagation algorithm implemented on spiking neuromorphic hardware
Solving dynamical systems in neuromorphic hardware: simulation studies using balanced spiking networks
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
Design space exploration of associative memories using spiking neurons with respect to neuromorphic hardware implementations
Optimizing Spiking Neuromorphic Networks for Information Processing
Benchmarking of Neuromorphic Hardware Systems
Neuromorphic hardware for somatosensory neuroprostheses
Solving Max‐Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change Memory
Think local, act global: robust and real-time movement encoding in spiking neural networks using neuromorphic hardware
Modern semiconductor technologies for neuromorphic hardware
A Raspberry Pi controlling neuromorphic hardware
Modern Semiconductor Technologies for Neuromorphic Hardware
The backpropagation algorithm implemented on spiking neuromorphic hardware
Solving dynamical systems in neuromorphic hardware: simulation studies using balanced spiking networks
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
Design space exploration of associative memories using spiking neurons with respect to neuromorphic hardware implementations
Optimizing Spiking Neuromorphic Networks for Information Processing
Benchmarking of Neuromorphic Hardware Systems
Neuromorphic hardware for somatosensory neuroprostheses
Solving Max‐Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change Memory
Think local, act global: robust and real-time movement encoding in spiking neural networks using neuromorphic hardware
Modern semiconductor technologies for neuromorphic hardware
A Raspberry Pi controlling neuromorphic hardware