def __init__(self,
parameters="",
equations="",
psp=None,
pre_spike=None,
post_spike=None,
functions=None,
name=None,
description=None,
extra_values={}):
"""
*Parameters*:
* **parameters**: parameters of the neuron and their initial value.
* **equations**: equations defining the temporal evolution of variables.
* **psp**: post-synaptic potential summed by the post-synaptic neuron.
* **pre_spike**: updating of variables when a pre-synaptic spike is received.
* **post_spike**: updating of variables when a post-synaptic spike is emitted.
* **functions**: additional functions used in the variables' equations.
"""
_warning(
"The use of RateSynapse or SpikeSynapse is deprecated, use Synapse instead."
)
Synapse.__init__(self,
parameters=parameters,
equations=equations,
psp=psp,
pre_spike=pre_spike,
post_spike=post_spike,
functions=functions,
name=name,
description=description,
extra_values=extra_values)
def __init__(self, parameters="", equations="", functions=None, name="", description="", extra_values={}):
"""
*Parameters*:
* **parameters**: parameters of the neuron and their initial value.
* **equations**: equations defining the temporal evolution of variables.
* **functions**: additional functions used in the variables' equations.
"""
_warning("The use of RateNeuron or SpikeNeuron is deprecated, use Neuron instead.")
Neuron.__init__(self, parameters=parameters, equations=equations, functions=functions, name=name, description=description, extra_values=extra_values)
def __init__(self, parameters="", equations="", psp=None, functions=None, name=None, description=None, extra_values={}):
"""
*Parameters*:
* **parameters**: parameters of the neuron and their initial value.
* **equations**: equations defining the temporal evolution of variables.
* **psp**: post-synaptic potential summed by the post-synaptic neuron.
* **functions**: additional functions used in the variables' equations.
"""
_warning("The use of RateSynapse or SpikeSynapse is deprecated, use Synapse instead.")
Synapse.__init__(self, parameters=parameters, equations=equations, psp=psp, functions=functions, name=name, description=description, extra_values=extra_values)
def __init__(self, parameters="", equations="", spike=None, reset=None, refractory = None, functions=None, name="", description="", extra_values={} ):
"""
*Parameters*:
* **parameters**: parameters of the neuron and their initial value.
* **equations**: equations defining the temporal evolution of variables.
* **functions**: additional functions used in the variables' equations.
* **spike**: condition to emit a spike.
* **reset**: changes to the variables after a spike
* **refractory**: refractory period of a neuron after a spike.
"""
_warning("The use of RateNeuron or SpikeNeuron is deprecated, use Neuron instead.")
Neuron.__init__(self, parameters=parameters, equations=equations, functions=functions, spike=spike, reset=reset, refractory=refractory, name=name, description=description, extra_values=extra_values)
def find_method(variable):
if 'implicit' in variable['flags']:
method = 'implicit'
elif 'semiimplicit' in variable['flags']:
method = 'semiimplicit'
elif 'exponential' in variable['flags']:
method = 'exponential'
elif 'midpoint' in variable['flags']:
method = 'midpoint'
elif 'explicit' in variable['flags']:
method = 'explicit'
elif 'exact' in variable['flags']:
_warning('The "exact" flag should now be replaced by "event-driven". It will stop being valid in a future release.')
method = 'event-driven'
elif 'event-driven' in variable['flags']:
method = 'event-driven'
else:
method= config['method']
return method
def _analyse_equation(orig, eq, local_dict, tex_dict):
left = eq.split('=')[0]
if left[-1] in ['+', '-', '*', '/']:
op = left[-1]
try:
left = _analyse_part(left[:-1], local_dict, tex_dict)
except Exception as e:
_print(e)
_warning('can not transform the left side of ' + orig +' to LaTeX, you have to do it by hand...')
left = left[:-1]
operator = " = " + left + " " + op + (" (" if op != '+' else '')
else:
try:
left = _analyse_part(left, local_dict, tex_dict)
except Exception as e:
_print(e)
_warning('can not transform the left side of ' + orig +' to LaTeX, you have to do it by hand...')
operator = " = "
try:
right = _analyse_part(eq.split('=')[1], local_dict, tex_dict)
except Exception as e:
_print(e)
_warning('can not transform the right side of ' + orig +' to LaTeX, you have to do it by hand...')
right = eq.split('=')[1]
return left + operator + right + (" )" if operator.endswith('(') else "")
def find_method(variable):
if 'implicit' in variable['flags']:
method = 'implicit'
elif 'semiimplicit' in variable['flags']:
method = 'semiimplicit'
elif 'exponential' in variable['flags']:
method = 'exponential'
elif 'midpoint' in variable['flags']:
method = 'midpoint'
elif 'explicit' in variable['flags']:
method = 'explicit'
elif 'exact' in variable['flags']:
_warning(
'The "exact" flag should now be replaced by "event-driven". It will stop being valid in a future release.'
)
method = 'event-driven'
elif 'event-driven' in variable['flags']:
method = 'event-driven'
else:
method = config['method']
return method
