<p>(A) Spike generation from a temporally correlated Gaussian voltage trace in a single threshold neuron. (B) Encoding of common signals by the population firing rate of independent threshold neurons. Note, that can be either linearly related to the stimulus (linear regime for weak signals, Eq. 11, 12) or be described by a non-linear response function (e.g. see Eq. 20).</p
The variability of neuronal firing has been an intense topic of study for many years. From a modelli...
We study how threshold models and neocortical neurons transfer temporal and interneuronal input corr...
A. By varying the stimulus rate, Spikeling can be setup to ‘miss’ individual stimulus cycles at the ...
Response properties of sensory neurons are commonly described using receptive fields. This descripti...
This work investigates the capacity of Integrate-and-Fire-type (I&F-type) models to quantitatively p...
<p>(Top) Representation of periodic mean stimuli in the population rate of noisy, independent neuron...
<p>(A) Spike triggered average voltage for and firing rates ; simulated results (circles) and anal...
Input noise, defined as the root mean square of the fluctuations in the input, typically limits the ...
Many sensory or cognitive events are associated with dynamic current modulations in cortical neurons...
Despite intensive research, the mechanisms underlying the neural code remain poorly understood. Rece...
Action potentials, also called spikes, are a very widespread, though not uni-versal, communication m...
Contemporary theory of spiking neuronal networks is based on the linear response of the integrate-an...
Sensory stimuli are received by sensory neurons and information about these stimuli is further trans...
<p>A: A spiking neuron receives an input current consisting of a signal component that is identical ...
Neurons generate spikes reliably with millisecond precision if driven by a fluctuating current—is it...
The variability of neuronal firing has been an intense topic of study for many years. From a modelli...
We study how threshold models and neocortical neurons transfer temporal and interneuronal input corr...
A. By varying the stimulus rate, Spikeling can be setup to ‘miss’ individual stimulus cycles at the ...
Response properties of sensory neurons are commonly described using receptive fields. This descripti...
This work investigates the capacity of Integrate-and-Fire-type (I&F-type) models to quantitatively p...
<p>(Top) Representation of periodic mean stimuli in the population rate of noisy, independent neuron...
<p>(A) Spike triggered average voltage for and firing rates ; simulated results (circles) and anal...
Input noise, defined as the root mean square of the fluctuations in the input, typically limits the ...
Many sensory or cognitive events are associated with dynamic current modulations in cortical neurons...
Despite intensive research, the mechanisms underlying the neural code remain poorly understood. Rece...
Action potentials, also called spikes, are a very widespread, though not uni-versal, communication m...
Contemporary theory of spiking neuronal networks is based on the linear response of the integrate-an...
Sensory stimuli are received by sensory neurons and information about these stimuli is further trans...
<p>A: A spiking neuron receives an input current consisting of a signal component that is identical ...
Neurons generate spikes reliably with millisecond precision if driven by a fluctuating current—is it...
The variability of neuronal firing has been an intense topic of study for many years. From a modelli...
We study how threshold models and neocortical neurons transfer temporal and interneuronal input corr...
A. By varying the stimulus rate, Spikeling can be setup to ‘miss’ individual stimulus cycles at the ...