Publication date
December 2021
DOIAbstract
These datasets are used to reproduce the results of the neural dynamics model from the paper https://doi.org/10.1101/725382
These datasets are used to reproduce the results of the neural dynamics model from the paper https://doi.org/10.1101/725382
This is the experimental dataset for the paper "Resonance with subthreshold oscillatory drive organi...
These are the datasets used in the work NeuroDAVIS: A neural network model for data visualization
Over the last decade, measurement technology that records neural activity such as ECoG and Utah arra...
Generating training data for identifying neurofuzzy models of non-linear dynamic systems This item w...
This repository contains all the neural and simulated datasets used in the above publication. All th...
Contains fulltext : 100942.pdf (publisher's version ) (Closed access
Code and data associated with the following publications: Velychko, D., Knopp, B. and Endres D. (20...
The data are related to the following article: Antonietti Alberto, Monaco Jessica, D'Angelo Egidio,...
Running title: Stable, regularised models of population dynamics Ongoing advances in experimental te...
This paper presents a methodology for generating data for training a fuzzy relational model, one neu...
The dataset used for training and evaluating the models in the paper "A Bayesian neural network pred...
Ebb and Flow gameplay data and trained model parameters for: Jaffe, P.I., Poldrack, R.A., Schafer, ...
The dataset contains the data underlying the results presented in: Boscaglia, M., Gastaldi, C., G...
Neural networks have been successfully used to model a number of complex nonlinear systems. Althoug...
These are the simulation data that underly some of the figures in this paper: https://doi.org/10.110...
This is the experimental dataset for the paper "Resonance with subthreshold oscillatory drive organi...
These are the datasets used in the work NeuroDAVIS: A neural network model for data visualization
Over the last decade, measurement technology that records neural activity such as ECoG and Utah arra...
Generating training data for identifying neurofuzzy models of non-linear dynamic systems This item w...
This repository contains all the neural and simulated datasets used in the above publication. All th...
Contains fulltext : 100942.pdf (publisher's version ) (Closed access
Code and data associated with the following publications: Velychko, D., Knopp, B. and Endres D. (20...
The data are related to the following article: Antonietti Alberto, Monaco Jessica, D'Angelo Egidio,...
Running title: Stable, regularised models of population dynamics Ongoing advances in experimental te...
This paper presents a methodology for generating data for training a fuzzy relational model, one neu...
The dataset used for training and evaluating the models in the paper "A Bayesian neural network pred...
Ebb and Flow gameplay data and trained model parameters for: Jaffe, P.I., Poldrack, R.A., Schafer, ...
The dataset contains the data underlying the results presented in: Boscaglia, M., Gastaldi, C., G...
Neural networks have been successfully used to model a number of complex nonlinear systems. Althoug...
These are the simulation data that underly some of the figures in this paper: https://doi.org/10.110...
This is the experimental dataset for the paper "Resonance with subthreshold oscillatory drive organi...
These are the datasets used in the work NeuroDAVIS: A neural network model for data visualization
Over the last decade, measurement technology that records neural activity such as ECoG and Utah arra...
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