<p>The graph shows the performance of the network when a single object is presented, as a function of the % of noise on the retina. All letters, positions and directions of motion were tested. The network responds correctly up to 8% noise on the retina. When the noise on the retina is above 18%, the number of non-decisions begins to rise rapidly. However, even for 25% noise on the retina, the number of incorrect decisions is less than 10%.</p
<p>(a) Planning performance, shown for 3 different readout times of 60, 180 and 240 ms (correspondin...
Representations in the cortex are often distributed with graded firing rates in the neuronal populat...
<p>The linear Optimal, Noisy (30% perturbation to connection weights), and Learned+Perturb (after 12...
<p>The graph shows the performance of the network for the motion detection task as a function of the...
<p>A: Similarity of network population response with noise added relative to the response without no...
<p>(A) Input and output spike trains on a single trial. A stimulus with constant drift and diffusion...
Understanding why neural systems can process information extremely fast is a fundamental question in...
<p>The graphs show the number of TPs and FPs nodes and connections detected at different levels of n...
<p>Figure shows the effect of additive uniformly distributed synaptic ...
<p>(A) Coding performance of the network in the presence of synaptic background noise. The vertical ...
Includes an additional experiment that investigates how the performance of osNEF-trained networks de...
<p>Average classification performance of 100 networks trained with both STDP and IP on (A) the memor...
How the firing rate of a neuron carries information depends on the time over which rates are measure...
The network is able to respond faster, but less accurate when a cost is attached to extra observatio...
<p>An auditory stimulus and a visual stimulus are simultaneously applied at two different spatial po...
<p>(a) Planning performance, shown for 3 different readout times of 60, 180 and 240 ms (correspondin...
Representations in the cortex are often distributed with graded firing rates in the neuronal populat...
<p>The linear Optimal, Noisy (30% perturbation to connection weights), and Learned+Perturb (after 12...
<p>The graph shows the performance of the network for the motion detection task as a function of the...
<p>A: Similarity of network population response with noise added relative to the response without no...
<p>(A) Input and output spike trains on a single trial. A stimulus with constant drift and diffusion...
Understanding why neural systems can process information extremely fast is a fundamental question in...
<p>The graphs show the number of TPs and FPs nodes and connections detected at different levels of n...
<p>Figure shows the effect of additive uniformly distributed synaptic ...
<p>(A) Coding performance of the network in the presence of synaptic background noise. The vertical ...
Includes an additional experiment that investigates how the performance of osNEF-trained networks de...
<p>Average classification performance of 100 networks trained with both STDP and IP on (A) the memor...
How the firing rate of a neuron carries information depends on the time over which rates are measure...
The network is able to respond faster, but less accurate when a cost is attached to extra observatio...
<p>An auditory stimulus and a visual stimulus are simultaneously applied at two different spatial po...
<p>(a) Planning performance, shown for 3 different readout times of 60, 180 and 240 ms (correspondin...
Representations in the cortex are often distributed with graded firing rates in the neuronal populat...
<p>The linear Optimal, Noisy (30% perturbation to connection weights), and Learned+Perturb (after 12...