ModelDB: Models that contain Noise Sensitivity

Model Concept: Noise Sensitivity

The degree to which a neuron is able to fire in a precise manner despite variability in the membrane currents or synaptic inputs, which drive firing.

A model for how correlation depends on the neuronal excitability type (Hong et al. 2012)
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
CA1 pyramidal: Stochastic amplification of KCa in Ca2+ microdomains (Stanley et al. 2011)
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
Model of SK current`s influence on precision in Globus Pallidus Neurons (Deister et al. 2009)
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
On stochastic diff. eq. models for ion channel noise in Hodgkin-Huxley neurons (Goldwyn et al. 2010)
pre-Bötzinger complex variability (Fietkiewicz et al. 2016)
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
Simulating ion channel noise in an auditory brainstem neuron model (Schmerl & McDonnell 2013)
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)

Top authors for Noise Sensitivity:

Top concepts studied with Noise Sensitivity:

Top neurons studied with Noise Sensitivity:

Top currents studied with Noise Sensitivity:

I Sodium (3)
I Potassium (3)
I K,Ca (2)
I Na,t (2)
I A (2)
I K (2)
I_AHP (1)
I Na,p (1)
I h (1)

Top references cited by these models:

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