Two measures used to evaluate the determinism of spiking responses in point cell neuron models, given randomized initializations and recent event history. Spike prediction coherence (A), is calculated as the ratio of spiking responses squared plus the ratio of non-spiking responses squared. NST standard deviation (B) is calculated from the distribution of observed timings of spiking responses across multiple trials. Both measures demonstrate generally increasing determinism with more inputs, with spike prediction coherence converging faster than spike timing.</p
<p>Rasters show spike simulations from the model using a fixed set of presynaptic spikes as input ac...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
Spike generation in neurons produces a temporal point process, whose statistics is governed by intri...
<p>A) Spike prediction accuracy for simulated neurons receiving correlated input, with different lev...
<p>(A) Output spike trains for two runs (blue and red) of activity starting with the same initial co...
AbstractThe spike trains that transmit information between neurons are stochastic. We used the theor...
A rate code assumes that a neuron's response is completely characterized by its time-varying mean fi...
AbstractCoherence is a fundamental tool in the analysis of neuronal data and for studying multiscale...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
h i g h l i g h t s • Spike-field coherence (SFC) is dependent on spike rate. • Rate-dependence conf...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
<p><b>A</b>, Schematic illustration of stimulus gain. The gain is described as the ratio of the cha...
Common to most correlation analysis techniques for neuronal spiking activity are assumptions of stat...
Zusammenfassung A rate code assumes that a neuron's response is completely characterized by its time...
<p>Rasters show spike simulations from the model using a fixed set of presynaptic spikes as input ac...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
Spike generation in neurons produces a temporal point process, whose statistics is governed by intri...
<p>A) Spike prediction accuracy for simulated neurons receiving correlated input, with different lev...
<p>(A) Output spike trains for two runs (blue and red) of activity starting with the same initial co...
AbstractThe spike trains that transmit information between neurons are stochastic. We used the theor...
A rate code assumes that a neuron's response is completely characterized by its time-varying mean fi...
AbstractCoherence is a fundamental tool in the analysis of neuronal data and for studying multiscale...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
h i g h l i g h t s • Spike-field coherence (SFC) is dependent on spike rate. • Rate-dependence conf...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
<p><b>A</b>, Schematic illustration of stimulus gain. The gain is described as the ratio of the cha...
Common to most correlation analysis techniques for neuronal spiking activity are assumptions of stat...
Zusammenfassung A rate code assumes that a neuron's response is completely characterized by its time...
<p>Rasters show spike simulations from the model using a fixed set of presynaptic spikes as input ac...
<p>(<b>A</b>) Probability per unit time (spike rate) of a single neuron. Top, in red, experimental d...
Spike generation in neurons produces a temporal point process, whose statistics is governed by intri...