model of DCN pyramidal neuron
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from neuron import h
import numpy as np
from ..util import random_seed, custom_init
class Protocol(object):
"""
Base class providing common tools for running, analyzing, and displaying
simulations.
"""
def __init__(self):
self.reset()
def reset(self):
self._vectors = {}
def run(self, seed=None):
"""
Run this protocol.
Subclasses should extend this method.
"""
if seed is not None:
random_seed.set_seed(seed)
self.reset()
def __setitem__(self, name, variable):
"""
Record *variable* during the next run.
"""
vec = h.Vector()
self._vectors[name] = vec
vec.record(variable)
def __getitem__(self, name):
"""
Return a np array for previously recorded data given *name*.
"""
return np.array(self._vectors[name])
def custom_init(self, vinit=-60.0):
return custom_init(vinit)