BrainPharm: Computational model - NeuroGPU example on L5_TTPC1_cADpyr232_1 (Ben-Shalom 2022)(Ramaswamy et al., 2015)

Computational model

Data

Name

NeuroGPU example on L5_TTPC1_cADpyr232_1 (Ben-Shalom 2022)(Ramaswamy et al., 2015)

Submitter name

Alexander Ladd

Pipeline ID

Model File

NeuroGPU_ModelDB [603070]

Notes

This shows an example use case of building NeuroGPU simulation around a model pyramidal cell from the BBP portal. While the simulation can be run without python, we show how to update the parameters and run the simulation in python.

Model Neurons

More Cells

Neocortex layer 5 pyramidal cell Show Other

Model Currents

I Calcium Show Other
I K,Ca Show Other
I Potassium Show Other
I Sodium Show Other

Model Receptors

Model Type

Channel/Receptor Show Other
Dendrite Show Other
Axon Show Other

Model Concept

Simulator software

NEURON Show Other
NeuroGPU Show Other
Python Show Other

Model papers

Ben-Shalom R, Ladd A, Artherya NS, Cross C, Kim KG, Sanghevi H, Korngreen A, Bouchard KE, Bender KJ (2022) Show Other

Gene

hg folder name (applicable when in ModelDB hg)

267384

Region Organism

Model ID Number

Gap Junctions

Implemented by

Ben-Shalom, Roy [rbenshalom at ucdavis.edu] Show Other

Public Submitter Email Address

zladd@berkeley.edu

Other Neuron

Model Neurotransmitters

Other Receptor

Other Current

Other Neurotransmitter

Other Model Type

Other Concept

Other Simulator

NeuroGPU

Other Implementer

Alternative Version

Citation

Ben-Shalom, Roy, et al. "NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs." Journal of neuroscience methods 366 (2022): 109400.

Default File Notes

Other Gene

Simulation Platform ID

Has Model View

False

Component

RAM

Hide Auto-launch button

False

Run Protocols

ICG Channel Details

Species

Other categories referring to NeuroGPU example on L5_TTPC1_cADpyr232_1 (Ben-Shalom 2022)(Ramaswamy et al., 2015)

Revisions:	15
Last Time:	5/1/2023 6:58:30 PM
Reviewer:	System Administrator
Owner:	Tom Morse - MoldelDB admin