<p>The stimulus sets used for the PCA were parameterized according to the rows (a) to (f). Each set consisted of images of hand-object configurations shown across different retinal locations.</p
Top 30 parameters after 100 PCA runs of the training set in the three adult epilepsy models.</p
The presentation consists of a text document entitled, "Understanding How Distributions of Spike Fre...
<p>(A) Examples of natural images used for training. The square denotes ...
<p>The results of a PCA of the stimulus sets used for six different simulations are shown in rows (a...
<p>The top row displays the relative arrangements between the target object and the hand (for all si...
<p><b>A</b> Training with pink noise images that were translated only. <b>B</b> Training with pink n...
<p>The top two rows show the binarised activation of 4 example output neurons before training. A red...
<p>Simulated movements of the eyes and head-centered locations of visual targets during training and...
<p>First, original experimental images are loaded (a), then converted to grayscale (b), and sliced i...
<p>Each of the three columns shows the firing responses of a particular cell. Each row shows the res...
This paper mainly focuses on the principle component analysis (PCA) and its applications on vision b...
The top row, the second row, the third row and the bottom row show the learned feature images by the...
A. Temporal positions of the activation periods of the neurons that were included to the simulation ...
<p>The three image sequences presented to VisNet during training are shown in the separate rows. All...
Principal Component Analysis (PCA) has been successfully applied to construct linear models of shape...
Top 30 parameters after 100 PCA runs of the training set in the three adult epilepsy models.</p
The presentation consists of a text document entitled, "Understanding How Distributions of Spike Fre...
<p>(A) Examples of natural images used for training. The square denotes ...
<p>The results of a PCA of the stimulus sets used for six different simulations are shown in rows (a...
<p>The top row displays the relative arrangements between the target object and the hand (for all si...
<p><b>A</b> Training with pink noise images that were translated only. <b>B</b> Training with pink n...
<p>The top two rows show the binarised activation of 4 example output neurons before training. A red...
<p>Simulated movements of the eyes and head-centered locations of visual targets during training and...
<p>First, original experimental images are loaded (a), then converted to grayscale (b), and sliced i...
<p>Each of the three columns shows the firing responses of a particular cell. Each row shows the res...
This paper mainly focuses on the principle component analysis (PCA) and its applications on vision b...
The top row, the second row, the third row and the bottom row show the learned feature images by the...
A. Temporal positions of the activation periods of the neurons that were included to the simulation ...
<p>The three image sequences presented to VisNet during training are shown in the separate rows. All...
Principal Component Analysis (PCA) has been successfully applied to construct linear models of shape...
Top 30 parameters after 100 PCA runs of the training set in the three adult epilepsy models.</p
The presentation consists of a text document entitled, "Understanding How Distributions of Spike Fre...
<p>(A) Examples of natural images used for training. The square denotes ...
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