MultiScale Optimized Neuronal Intramembrane Cavitation (SONIC) model (Lemaire et al. 2019)

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Accession:264539
Jupyter Notebooks to reproduce data and figures of the SONIC paper (Lemaire et al. 2019) describing a computationally efficient variant to simulate ultrasound neuromodulation by intramembrane cavitation in cortical neurons.
Reference:
1 . Lemaire T, Neufeld E, Kuster N, Micera S (2019) Understanding ultrasound neuromodulation using a computationally efficient and interpretable model of intramembrane cavitation. J Neural Eng 16:046007 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Subthalamic nucleus principal GABA cell; Neocortex spiking regular (RS) neuron; Neocortex fast spiking (FS) interneuron; Neocortex spiking low threshold (LTS) neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Python; NEURON;
Model Concept(s): Action Potentials;
Implementer(s):
Search NeuronDB for information about:  Subthalamic nucleus principal GABA cell; 
# -*- coding: utf-8 -*-
# @Author: Theo Lemaire
# @Email: theo.lemaire@epfl.ch
# @Date:   2020-04-28 14:04:01
# @Last Modified by:   Theo Lemaire
# @Last Modified time: 2021-06-08 14:50:04

import platform

os_name = platform.system()
if os_name == 'Windows':
    dataroot = 'C:\\Users\\lemaire\\Documents\\papers data\\SONIC'
elif os_name == 'Linux':
    dataroot = '../../data/SONIC/'
else:
    dataroot = None

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