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ASTIM_sim_batch.py
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Wed, Jul 2, 09:39

ASTIM_sim_batch.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: Theo Lemaire
# @Date: 2017-02-13 18:16:09
# @Email: theo.lemaire@epfl.ch
# @Last Modified by: Theo Lemaire
# @Last Modified time: 2017-08-23 16:25:04
""" Run batch acoustic simulations of the NICE model. """
import logging
import numpy as np
from PointNICE.solvers import runSimBatch
from PointNICE.channels import *
from PointNICE.utils import LoadParams, CheckBatchLog
# Set logging options
logging.basicConfig(format='%(asctime)s %(message)s', datefmt='%d/%m/%Y %H:%M:%S:')
logger = logging.getLogger('PointNICE')
logger.setLevel(logging.DEBUG)
# BLS parameters
bls_params = LoadParams()
# Geometry of NBLS structure
a = 32e-9 # in-plane radius (m)
d = 0.0e-6 # embedding tissue thickness (m)
geom = {"a": a, "d": d}
# Channels mechanisms
neurons = [CorticalRS()]
# Stimulation parameters
stim_params = {
'freqs': [3.5e5], # Hz
'amps': [100e3], # Pa
'durations': [50e-3], # s
'PRFs': [1e2], # Hz
'DFs': [1.0]
}
stim_params['offsets'] = [30e-3] * len(stim_params['durations']) # s
# stim_params = {
# 'freqs': np.array([200, 400, 600, 800, 1000]) * 1e3, # Hz
# 'amps': np.array([10, 20, 40, 80, 150, 300, 600]) * 1e3, # Pa
# 'durs': np.array([20, 40, 60, 80, 100, 150, 200, 250, 300]) * 1e-3, # s
# 'PRFs': np.array([0.1, 0.2, 0.5, 1, 2, 5, 10]) * 1e3, # Hz
# 'DFs': np.array([1, 2, 5, 10, 25, 50, 75, 100]) / 100
# }
# stim_params['offsets'] = 350e-3 - stim_params['durations'] # s
# Simulation type
sim_type = 'effective'
# Select output directory
try:
(batch_dir, log_filepath) = CheckBatchLog('elec')
except AssertionError as err:
logger.error(err)
quit()
# Run simulation batch
runSimBatch(batch_dir, log_filepath, neurons, bls_params, geom, stim_params, sim_type)

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