ModelDB: Models that contain Stochastic simulation

Model Concept: Stochastic simulation

At each time step variables change randomly from selected probability distributions.

A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018)
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
Dynamics of ERK signaling pathways during L-LTP induction(Miningou et al 2021)
Effect of cortical D1 receptor sensitivity on working memory maintenance (Reneaux & Gupta 2018)
HH-type model of fast-spiking parvalbumin interneurons in spinal dorsal horn (Ma et al, 2023)
Kesten and Langevin synaptic size fluctuation simulator (Hazan & Ziv 2020)
Mesoscopic model of spontaneous synaptic size fluctuations (Hazan & Ziv 2020)
On the long time behaviour of single stochastic Hodgkin-Huxley neurons (Höpfner 2023)
Simple and accurate Diffusion Approximation algor. for stochastic ion channels (Orio & Soudry 2012)
Stochastic Hodgkin-Huxley Model: 14x28D Langevin Simulation (Pu and Thomas, 2020).

Top authors for Stochastic simulation:

Top concepts studied with Stochastic simulation:

Top neurons studied with Stochastic simulation:

Hodgkin-Huxley neuron (2)
Cerebellum Purkinje GABA cell (1)
Hippocampus CA1 pyramidal GLU cell (1)
Spinal cord lamina I-III interneuron (1)

Top currents studied with Stochastic simulation:

I Potassium (2)
I Sodium (2)
I K (2)
I Cl, leak (1)
I Calcium (1)
I K,Ca (1)
I Na,t (1)
I Na, leak (1)

Top references cited by these models:

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