- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2202
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Artificial grammar recognition using spiking neural networks ; volume:10 ; number:1 ; day:13 ; month:7 ; year:2009 ; pages:1-2 ; date:9.2009
BMC neuroscience ; 10, Heft 1 (13.7.2009), 1-2, 9.2009
- Creator
-
Cavaco, Philip
- Contributor
-
Çürüklü, Baran
Petersson, Karl Magnus
SpringerLink (Online service)
- DOI
-
10.1186/1471-2202-10-S1-P352
- URN
-
urn:nbn:de:1111-201603212036
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Cavaco, Philip
- Çürüklü, Baran
- Petersson, Karl Magnus
- SpringerLink (Online service)
Other Objects (12)
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
Self-Organization of Spiking Neural Networks for Visual Object Recognition
Time-space, spiking neural networks and brain-inspired artificial intelligence
Mental stress recognition on the fly using neuroplasticity spiking neural networks
Pattern recognition using spiking antiferromagnetic neurons
Neural encoding with unsupervised spiking convolutional neural network
SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo
Margin learning in spiking neural networks
Sound localization with spiking neural networks
Adjoint Equations of Spiking Neural Networks
Evolving small spiking neural networks to work as state machines for temporal pattern recognition
Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO2 Memristive Spiking-Neuron
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
Self-Organization of Spiking Neural Networks for Visual Object Recognition
Time-space, spiking neural networks and brain-inspired artificial intelligence
Mental stress recognition on the fly using neuroplasticity spiking neural networks
Pattern recognition using spiking antiferromagnetic neurons
Neural encoding with unsupervised spiking convolutional neural network
SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo
Margin learning in spiking neural networks
Sound localization with spiking neural networks
Adjoint Equations of Spiking Neural Networks
Evolving small spiking neural networks to work as state machines for temporal pattern recognition
Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO2 Memristive Spiking-Neuron
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
Self-Organization of Spiking Neural Networks for Visual Object Recognition
Time-space, spiking neural networks and brain-inspired artificial intelligence
Mental stress recognition on the fly using neuroplasticity spiking neural networks
Pattern recognition using spiking antiferromagnetic neurons
Neural encoding with unsupervised spiking convolutional neural network
SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo
Margin learning in spiking neural networks
Sound localization with spiking neural networks
Adjoint Equations of Spiking Neural Networks
Evolving small spiking neural networks to work as state machines for temporal pattern recognition