<--- Back to Details
First PageDocument Content
Neuroscience / Nervous system / Computational neuroscience / Electrical engineering / Neural networks / Neuromorphic engineering / SyNAPSE / Neuron / Artificial neural network / Biological neural network / Biological neuron model / Memristor
Date: 2016-01-10 15:53:18
Neuroscience
Nervous system
Computational neuroscience
Electrical engineering
Neural networks
Neuromorphic engineering
SyNAPSE
Neuron
Artificial neural network
Biological neural network
Biological neuron model
Memristor

4.2 Neuromorphic Architectures for Spiking Deep Neural Networks

Add to Reading List

Source URL: ncs.ethz.ch

Download Document from Source Website

File Size: 890,99 KB

Share Document on Facebook

Similar Documents

4.2   Neuromorphic Architectures for Spiking Deep Neural Networks

4.2 Neuromorphic Architectures for Spiking Deep Neural Networks

DocID: 1rmcl - View Document

Image source: Yury V. Zaytsev  NEST: The Neural Simulation Tool PARTNERS

Image source: Yury V. Zaytsev NEST: The Neural Simulation Tool PARTNERS

DocID: 1rfwu - View Document

Tutorial IJCNNSpiking Neural Networks for Machine Learning and Predictive Data Modelling: Methods, Systems, Applications Nikola Kasabov, FIEEE and Nathan Scott Knowledge Engineering and Discovery Research Institut

Tutorial IJCNNSpiking Neural Networks for Machine Learning and Predictive Data Modelling: Methods, Systems, Applications Nikola Kasabov, FIEEE and Nathan Scott Knowledge Engineering and Discovery Research Institut

DocID: 1pBBF - View Document

Microsoft Word - Rockwood Memorial Lecture 2015_V2.docx

Microsoft Word - Rockwood Memorial Lecture 2015_V2.docx

DocID: 1px8G - View Document

Summer School «Neural Dynamics Approaches to Cognitive Robotics 2011» Portugal, Guimaraes, University of Minho 10 SeptOn learning the mapping between intention and satisfaction

Summer School «Neural Dynamics Approaches to Cognitive Robotics 2011» Portugal, Guimaraes, University of Minho 10 SeptOn learning the mapping between intention and satisfaction

DocID: 1p8cr - View Document