Here we list the model-behavior correlations (Spearman rho) of each neural network model. In addition, we list their accuracies on ImageNet or letters depending on which database they were trained on. (TIF)</p
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
Providing a broad but in-depth introduction to neural network and machine learning in a statistical ...
Artificial neural networks (ANNs) are powerful tools for data analysis and are particularly suitable...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
There has been much publicity about the ability of artificial neural networks to learn and generaliz...
This collection of articles responds to the urgent need for timely and comprehensive reviews in a mu...
Neural networks are models of the brain and have been used within Artificial Intelligence to provide...
A. The NRF model, which involves a weighted sum of multiple LN-model like units, each with an STRF. ...
An overview of neural networks, covering multilayer perceptrons, radial basis functions, constructiv...
A. Mean CCnorm of linear-nonlinear (LN), network receptive field (NRF) and dynamic network (DNet) mo...
Model-behavior correlations are plotted on the y-axis, as a function of the layer of AlexNet trained...
A neural network is a general term for machine learning tools that emulate how neurons work in our b...
This paper reviews the model structures and learning rules of four commonly used artificial neural n...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
Providing a broad but in-depth introduction to neural network and machine learning in a statistical ...
Artificial neural networks (ANNs) are powerful tools for data analysis and are particularly suitable...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
There has been much publicity about the ability of artificial neural networks to learn and generaliz...
This collection of articles responds to the urgent need for timely and comprehensive reviews in a mu...
Neural networks are models of the brain and have been used within Artificial Intelligence to provide...
A. The NRF model, which involves a weighted sum of multiple LN-model like units, each with an STRF. ...
An overview of neural networks, covering multilayer perceptrons, radial basis functions, constructiv...
A. Mean CCnorm of linear-nonlinear (LN), network receptive field (NRF) and dynamic network (DNet) mo...
Model-behavior correlations are plotted on the y-axis, as a function of the layer of AlexNet trained...
A neural network is a general term for machine learning tools that emulate how neurons work in our b...
This paper reviews the model structures and learning rules of four commonly used artificial neural n...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
Providing a broad but in-depth introduction to neural network and machine learning in a statistical ...
Artificial neural networks (ANNs) are powerful tools for data analysis and are particularly suitable...
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