<p>(A) The linear-nonlinear (LN) model. (B) The network receptive field (NRF) model, a feedforward neural network</p
(A) The feedforward network model of primary motor cortex (M1) is borrowed from Ref. [4] and produce...
<p>(A) Schematic overview of the LN model. The red and blue stimuli were convolved with red () and b...
Technical ReportThis paper describes a special type of dynamic neural network called the Recursive N...
<p>(A) Chromatic Rotation LN model. This is the main model we have presented in the main text. The t...
A. The NRF model, which involves a weighted sum of multiple LN-model like units, each with an STRF. ...
A. The LN model, which consists of a spectrotemporal receptive field (STRF) followed by a sigmoid no...
<p>This figure illustrates the model of the RBFNN. The network has three layers: the input layer, th...
A. Mean CCnorm of linear-nonlinear (LN), network receptive field (NRF) and dynamic network (DNet) mo...
<p>(A) Histogram of the number of effective hidden units (HU) of the NRF model fits for each neuron....
(a) Simplified model of a biological neuron: The main body of the neuron receives input from many ot...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
This paper uses the radial basis function neural network (RBFNN) for system identification of nonlin...
Obermayer K, Ritter H, Schulten K. A Neural Network Model for the Formation of Topographic Maps in t...
<p><b>A</b>: The model consists of two separate feature channels (Feat-1 and Feat-2) each with two l...
Schematic illustration of the neural network model (A). Schematic illustration of bidirectional LSTM...
(A) The feedforward network model of primary motor cortex (M1) is borrowed from Ref. [4] and produce...
<p>(A) Schematic overview of the LN model. The red and blue stimuli were convolved with red () and b...
Technical ReportThis paper describes a special type of dynamic neural network called the Recursive N...
<p>(A) Chromatic Rotation LN model. This is the main model we have presented in the main text. The t...
A. The NRF model, which involves a weighted sum of multiple LN-model like units, each with an STRF. ...
A. The LN model, which consists of a spectrotemporal receptive field (STRF) followed by a sigmoid no...
<p>This figure illustrates the model of the RBFNN. The network has three layers: the input layer, th...
A. Mean CCnorm of linear-nonlinear (LN), network receptive field (NRF) and dynamic network (DNet) mo...
<p>(A) Histogram of the number of effective hidden units (HU) of the NRF model fits for each neuron....
(a) Simplified model of a biological neuron: The main body of the neuron receives input from many ot...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
This paper uses the radial basis function neural network (RBFNN) for system identification of nonlin...
Obermayer K, Ritter H, Schulten K. A Neural Network Model for the Formation of Topographic Maps in t...
<p><b>A</b>: The model consists of two separate feature channels (Feat-1 and Feat-2) each with two l...
Schematic illustration of the neural network model (A). Schematic illustration of bidirectional LSTM...
(A) The feedforward network model of primary motor cortex (M1) is borrowed from Ref. [4] and produce...
<p>(A) Schematic overview of the LN model. The red and blue stimuli were convolved with red () and b...
Technical ReportThis paper describes a special type of dynamic neural network called the Recursive N...
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