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Resolving molecular contributions of ion channel noise to interspike interval variability through stochastic shielding
Molecular fluctuations can lead to macroscopically observable effects. The random gating of ion channels in the membrane of a nerve cell provides an...
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Neurocomputational Models of Interval Timing: Seeing the Forest for the Trees
Extracting temporal regularities and relations from experience/observation is critical for organisms’ adaptiveness (communication, foraging,...
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Correction to: Resolving molecular contributions of ion channel noise to interspike interval variability through stochastic shielding
A Correction to this paper has been published: https://doi.org/10.1007/s00422-021-00877-7 .
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A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains
Negative correlations in the sequential evolution of interspike intervals (ISIs) are a signature of memory in neuronal spike-trains. They provide...
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Influence of Recent Trial History on Interval Timing
Interval timing is involved in a variety of cognitive behaviors such as associative learning and decision-making. While it has been shown that time...
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Neuronal Spike Trains and Stochastic Point Processes
In Chap. 2, Stefan Rotter describes the seminal work of George Gerstein and colleagues, introducing statistical techniques from stochastic point...
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Mean-return-time phase of a stochastic oscillator provides an approximate renewal description for the associated point process
Stochastic oscillations can be characterized by a corresponding point process; this is a common practice in computational neuroscience, where...
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Pharmacologic antagonism of CB1 receptors improves electrophysiological alterations in Purkinje cells exposed to 3-AP
IntroductionAlthough ataxia is associated with cerebellar dysfunction, little is known about the effects of 3-AP exposure on Purkinje cell...
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The response to professor K.S. Tűrker on his “an opinion on the 'delayed spikes' in human motoneurons”
This is the response to Prof. Tűrker on his note “challenging” our hypothesis assuming the possibility of two modes of spiking (direct and delayed)...
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A numerical method for computing interval distributions for an inhomogeneous Poisson point process modified by random dead times
The inhomogeneous Poisson point process is a common model for time series of discrete, stochastic events. When an event from a point process is...
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Evidence of two modes of spiking evoked in human firing motoneurones by Ia afferent electrical stimulation
Neurone firing behaviour is a result of complex interaction between synaptic inputs and cellular intrinsic properties. Intriguing firing behaviour,...
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Temporal filters in response to presynaptic spike trains: interplay of cellular, synaptic and short-term plasticity time scales
Temporal filters, the ability of postsynaptic neurons to preferentially select certain presynaptic input patterns over others, have been shown to be...
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Local activation of CB1 receptors by synthetic and endogenous cannabinoids dampens burst firing mode of reticular thalamic nucleus neurons in rats under ketamine anesthesia
The reticular thalamic nucleus (RTN) is a thin shell that covers the dorsal thalamus and controls the overall information flow from the thalamus to...
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Cerebellar plasticity based equalization of total input to inferior olive cells
We present a novel biologically plausible model of cerebellar learning. The study includes three substantial points. First, we show that the...
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Map** input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Noise in spiking neurons is commonly modeled by a noisy input current or by generating output spikes stochastically with a voltage-dependent hazard...
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Leaky Integrate and Fire Neurons
In Chap. 1, Eberhard Fetz describes his joint work with his thesis advisor, George Gerstein, introducing the leaky-integrate-and-fire (LIF) neuron...
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Cerebellar plasticity-based equalization of total input to inferior olive cells: properties of the model dynamics
The results of computational experiments with the biologically plausible cerebellar model are presented. First, the model convergence is examined...
