<p>These are the patterns of signal that were added to 100 x 100 noisy fields to generate simulated neural data. Central is a single central 10 x 10 cluster of 100 features. Split has four separate 5 x 5 clusters, each containing 25 features. Dispersed has 25 separate 2 x 2 clusters, each containing 4 features.</p
(A) Multiple bimodal activation patterns and examples of realizations for each pattern (N = 50 neuro...
This study demonstrates the practical application of the pattern grouping algorithm (PGA), presented...
<p>The black line shows the resulting multiunit pattern of two components with peak activity at ZT 9...
<p>Left: Two realizations of two different patterns, for 50 neurons. Simulation parameters were λ<su...
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p>(A) Realizations of four different patterns, in which two patterns (1-2 and 3-4) have the same co...
<p>Each pattern is a digitalized image with pixels, each with 8 bits of depth. The binary strings d...
A: Population encoding model, consisting of a set of channels that are tuned to specific stimulus va...
<p>Inset: typical time series of (i.e., the overlap with whichever pattern was last shown) for (ba...
Example MNIST stimuli at different noise levels, from left to right: 0%, 50%, 75%, 88%, 94%, 97%. In...
The activity of the hidden units in the network could be clustered into four distinct clusters. The ...
<p>Two different neural network architectures were used in the simulations. Networks had one input n...
<p>The cue corresponding to pattern one is given by setting the activity of neurons inside a 15×15 s...
The blue dot represents the true location of activation and the peaks of the 3 activated studies are...
(A) Multiple bimodal activation patterns and examples of realizations for each pattern (N = 50 neuro...
This study demonstrates the practical application of the pattern grouping algorithm (PGA), presented...
<p>The black line shows the resulting multiunit pattern of two components with peak activity at ZT 9...
<p>Left: Two realizations of two different patterns, for 50 neurons. Simulation parameters were λ<su...
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p>(A) Realizations of four different patterns, in which two patterns (1-2 and 3-4) have the same co...
<p>Each pattern is a digitalized image with pixels, each with 8 bits of depth. The binary strings d...
A: Population encoding model, consisting of a set of channels that are tuned to specific stimulus va...
<p>Inset: typical time series of (i.e., the overlap with whichever pattern was last shown) for (ba...
Example MNIST stimuli at different noise levels, from left to right: 0%, 50%, 75%, 88%, 94%, 97%. In...
The activity of the hidden units in the network could be clustered into four distinct clusters. The ...
<p>Two different neural network architectures were used in the simulations. Networks had one input n...
<p>The cue corresponding to pattern one is given by setting the activity of neurons inside a 15×15 s...
The blue dot represents the true location of activation and the peaks of the 3 activated studies are...
(A) Multiple bimodal activation patterns and examples of realizations for each pattern (N = 50 neuro...
This study demonstrates the practical application of the pattern grouping algorithm (PGA), presented...
<p>The black line shows the resulting multiunit pattern of two components with peak activity at ZT 9...
DOI
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