Publication date
December 2020
DOIAbstract
The original data for this data set can be accessed HERE. This data repository was created to facilitate the reproducibility of the work Learning function from structure in neuromorphic networks
The original data for this data set can be accessed HERE. This data repository was created to facilitate the reproducibility of the work Learning function from structure in neuromorphic networks
Contains fulltext : 101016.pdf (author's version ) (Open Access
Electrical activity of developing dissociated neuronal networks is of immense significance for under...
There are two files supporting this publication. The first is an RData file containing all variables...
The original data for this data set can be accessed HERE. This data repository was created to facili...
Code + Data files for Neuromorphic Learning, Working Memory and Metaplasticity in Nanowire Networks,...
These are the datasets used in the work NeuroDAVIS: A neural network model for data visualization
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
The folder contains the data for creating main figures and supplementary figures in the original pap...
This repository contains the code that accompanies our data release Kyzar et al. 'Dataset of human-s...
Neural Network Set trained in the first experiment with the best NN structure which contains 3 hidde...
This dataset supports the thesis entitled "Exploring Neurofeedback Learning Using Neurofeedback...
The following includes the source data for the manuscript titled "In-degree centrality in a social n...
This dataset is related to the work "Single cortical neurons as deep artificial neural networks" Co...
Contains fulltext : 101017.pdf (publisher's version ) (Open Access)IJCNN-9
The success of deep networks and recent industry involvement in brain-inspired computing is igniting...
Contains fulltext : 101016.pdf (author's version ) (Open Access
Electrical activity of developing dissociated neuronal networks is of immense significance for under...
There are two files supporting this publication. The first is an RData file containing all variables...
The original data for this data set can be accessed HERE. This data repository was created to facili...
Code + Data files for Neuromorphic Learning, Working Memory and Metaplasticity in Nanowire Networks,...
These are the datasets used in the work NeuroDAVIS: A neural network model for data visualization
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
The folder contains the data for creating main figures and supplementary figures in the original pap...
This repository contains the code that accompanies our data release Kyzar et al. 'Dataset of human-s...
Neural Network Set trained in the first experiment with the best NN structure which contains 3 hidde...
This dataset supports the thesis entitled "Exploring Neurofeedback Learning Using Neurofeedback...
The following includes the source data for the manuscript titled "In-degree centrality in a social n...
This dataset is related to the work "Single cortical neurons as deep artificial neural networks" Co...
Contains fulltext : 101017.pdf (publisher's version ) (Open Access)IJCNN-9
The success of deep networks and recent industry involvement in brain-inspired computing is igniting...
Contains fulltext : 101016.pdf (author's version ) (Open Access
Electrical activity of developing dissociated neuronal networks is of immense significance for under...
There are two files supporting this publication. The first is an RData file containing all variables...
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