(A) Ratios of response distribution categories as the number of input events in the input encoding, n, increases shows a general increase in determinism when more inputs are known. (B) Phase transition diagrams showing the transitions between response distribution categories for B.1) high values of n (n in 15, 16, … 20), (B.2) medium values of n (n in 9, 10, … 14), and (B.3) low values of n (n in 3, 4, … 8). (C) Input conditions responsible for phase transitions between (C.1) non-deterministic to deterministic non-spiking and (C.2) non-deterministic to deterministic spiking phase transition. Input conditions include 1) inter-stimulus interval of the stimulus responsible for the transition (blue) compared to the unconditioned inter-stimulus ...
<p>A: Examples of distributions for which the variability is mostly along the diagonal direction (bl...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
(A) Cross-temporal and cross-variable decoding. Colors indicate neural information when trained and ...
(A) Ratios of response distribution categories as the number of input events in the input encoding, ...
The Vm traces of spiking (A) and non-spiking (B) simulations with 20 (cyan) to 3 (black) input stimu...
<p>A) Schematic of single trial epoch selection for the decoding process assuming a perfect temporal...
The four stimuli can map one-to-one onto the four responses in 24 different ways, depicted by the 24...
The contingent encoding assumption is the idea that response selection in task-switching situations ...
<p><b>A</b>. Firing rate in the “leaves” natural movie (M1) plotted against firing rate in the “wate...
Observed inter-spike-interval distributions of spike trains with limited input encoding, shown as n ...
In investigating the response of systems to random input events, "dead times" in registering these e...
Using the response order dfkl, the deterministic response pattern unfolds in the following way: Befo...
Thesis (Ph.D.)--University of Washington, 2012The basic unit of computation in the nervous system is...
<p><b>A</b>: Shuffles of responses to repeated stimulus presentations remove different types of corr...
One of the central processing stages linking perception and action is response selection (e.g. Lien ...
<p>A: Examples of distributions for which the variability is mostly along the diagonal direction (bl...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
(A) Cross-temporal and cross-variable decoding. Colors indicate neural information when trained and ...
(A) Ratios of response distribution categories as the number of input events in the input encoding, ...
The Vm traces of spiking (A) and non-spiking (B) simulations with 20 (cyan) to 3 (black) input stimu...
<p>A) Schematic of single trial epoch selection for the decoding process assuming a perfect temporal...
The four stimuli can map one-to-one onto the four responses in 24 different ways, depicted by the 24...
The contingent encoding assumption is the idea that response selection in task-switching situations ...
<p><b>A</b>. Firing rate in the “leaves” natural movie (M1) plotted against firing rate in the “wate...
Observed inter-spike-interval distributions of spike trains with limited input encoding, shown as n ...
In investigating the response of systems to random input events, "dead times" in registering these e...
Using the response order dfkl, the deterministic response pattern unfolds in the following way: Befo...
Thesis (Ph.D.)--University of Washington, 2012The basic unit of computation in the nervous system is...
<p><b>A</b>: Shuffles of responses to repeated stimulus presentations remove different types of corr...
One of the central processing stages linking perception and action is response selection (e.g. Lien ...
<p>A: Examples of distributions for which the variability is mostly along the diagonal direction (bl...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
(A) Cross-temporal and cross-variable decoding. Colors indicate neural information when trained and ...