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standardmodels.py
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standardmodels.py
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"""
Standard cells for the mock module.
:copyright: Copyright 2006-2024 by the PyNN team, see AUTHORS.
:license: CeCILL, see LICENSE for details.
"""
from ..standardmodels import cells, synapses, electrodes, build_translations
from .simulator import state
import logging
logger = logging.getLogger("PyNN")
class IF_curr_alpha(cells.IF_curr_alpha):
__doc__ = cells.IF_curr_alpha.__doc__
translations = build_translations( # should add some computed/scaled parameters
('tau_m', 'TAU_M'),
('cm', 'CM'),
('v_rest', 'V_REST'),
('v_thresh', 'V_THRESH'),
('v_reset', 'V_RESET'),
('tau_refrac', 'TAU_REFRAC'),
('i_offset', 'I_OFFSET'),
('tau_syn_E', 'TAU_SYN_E'),
('tau_syn_I', 'TAU_SYN_I'),
)
class IF_curr_exp(cells.IF_curr_exp):
__doc__ = cells.IF_curr_exp.__doc__
translations = build_translations( # should add some computed/scaled parameters
('tau_m', 'TAU_M'),
('cm', 'CM'),
('v_rest', 'V_REST'),
('v_thresh', 'V_THRESH'),
('v_reset', 'V_RESET'),
('tau_refrac', 'T_REFRAC'),
('i_offset', 'I_OFFSET'),
('tau_syn_E', 'TAU_SYN_E'),
('tau_syn_I', 'TAU_SYN_I'),
)
class IF_cond_alpha(cells.IF_cond_alpha):
__doc__ = cells.IF_cond_alpha.__doc__
translations = build_translations(
('tau_m', 'TAU_M'),
('cm', 'CM'),
('v_rest', 'V_REST'),
('v_thresh', 'V_THRESH'),
('v_reset', 'V_RESET'),
('tau_refrac', 'TAU_REFRAC'),
('i_offset', 'I_OFFSET'),
('tau_syn_E', 'TAU_SYN_E'),
('tau_syn_I', 'TAU_SYN_I'),
('e_rev_E', 'E_REV_E'),
('e_rev_I', 'E_REV_I')
)
class IF_cond_exp(cells.IF_cond_exp):
__doc__ = cells.IF_cond_exp.__doc__
translations = build_translations(
('tau_m', 'TAU_M'),
('cm', 'CM'),
('v_rest', 'V_REST'),
('v_thresh', 'V_THRESH'),
('v_reset', 'V_RESET'),
('tau_refrac', 'TAU_REFRAC'),
('i_offset', 'I_OFFSET'),
('tau_syn_E', 'TAU_SYN_E'),
('tau_syn_I', 'TAU_SYN_I'),
('e_rev_E', 'E_REV_E'),
('e_rev_I', 'E_REV_I')
)
class IF_facets_hardware1(cells.IF_facets_hardware1):
__doc__ = cells.IF_facets_hardware1.__doc__
class HH_cond_exp(cells.HH_cond_exp):
__doc__ = cells.HH_cond_exp.__doc__
translations = build_translations(
('gbar_Na', 'GBAR_NA'),
('gbar_K', 'GBAR_K'),
('g_leak', 'G_LEAK'),
('cm', 'CM'),
('v_offset', 'V_OFFSET'),
('e_rev_Na', 'E_REV_NA'),
('e_rev_K', 'E_REV_K'),
('e_rev_leak', 'E_REV_LEAK'),
('e_rev_E', 'E_REV_E'),
('e_rev_I', 'E_REV_I'),
('tau_syn_E', 'TAU_SYN_E'),
('tau_syn_I', 'TAU_SYN_I'),
('i_offset', 'I_OFFSET'),
)
class IF_cond_exp_gsfa_grr(cells.IF_cond_exp_gsfa_grr):
__doc__ = cells.IF_cond_exp_gsfa_grr.__doc__
class SpikeSourcePoisson(cells.SpikeSourcePoisson):
__doc__ = cells.SpikeSourcePoisson.__doc__
translations = build_translations(
('start', 'START'),
('rate', 'INTERVAL', "1000.0/rate", "1000.0/INTERVAL"),
('duration', 'DURATION'),
)
class SpikeSourceArray(cells.SpikeSourceArray):
__doc__ = cells.SpikeSourceArray.__doc__
translations = build_translations(
('spike_times', 'SPIKE_TIMES'),
)
class EIF_cond_alpha_isfa_ista(cells.EIF_cond_alpha_isfa_ista):
__doc__ = cells.EIF_cond_alpha_isfa_ista.__doc__
translations = build_translations(
('cm', 'CM'),
('tau_refrac', 'TAU_REFRAC'),
('v_spike', 'V_SPIKE'),
('v_reset', 'V_RESET'),
('v_rest', 'V_REST'),
('tau_m', 'TAU_M'),
('i_offset', 'I_OFFSET'),
('a', 'A'),
('b', 'B'),
('delta_T', 'DELTA_T'),
('tau_w', 'TAU_W'),
('v_thresh', 'V_THRESH'),
('e_rev_E', 'E_REV_E'),
('tau_syn_E', 'TAU_SYN_E'),
('e_rev_I', 'E_REV_I'),
('tau_syn_I', 'TAU_SYN_I'),
)
class EIF_cond_exp_isfa_ista(cells.EIF_cond_exp_isfa_ista):
__doc__ = cells.EIF_cond_exp_isfa_ista.__doc__
translations = build_translations(
('cm', 'CM'),
('tau_refrac', 'TAU_REFRAC'),
('v_spike', 'V_SPIKE'),
('v_reset', 'V_RESET'),
('v_rest', 'V_REST'),
('tau_m', 'TAU_M'),
('i_offset', 'I_OFFSET'),
('a', 'A'),
('b', 'B'),
('delta_T', 'DELTA_T'),
('tau_w', 'TAU_W'),
('v_thresh', 'V_THRESH'),
('e_rev_E', 'E_REV_E'),
('tau_syn_E', 'TAU_SYN_E'),
('e_rev_I', 'E_REV_I'),
('tau_syn_I', 'TAU_SYN_I'),
)
class Izhikevich(cells.Izhikevich):
__doc__ = cells.Izhikevich.__doc__
translations = build_translations(
('a', 'a'),
('b', 'b'),
('c', 'c'),
('d', 'd'),
('i_offset', 'I_e'),
)
standard_receptor_type = True
receptor_scale = 1e-3 # synaptic weight is in mV, so need to undo usual weight scaling
class MockCurrentSource(object):
def inject_into(self, cells):
pass
class DCSource(MockCurrentSource, electrodes.DCSource):
__doc__ = electrodes.DCSource.__doc__
translations = build_translations(
('amplitude', 'amplitude'),
('start', 'start'),
('stop', 'stop')
)
class StepCurrentSource(MockCurrentSource, electrodes.StepCurrentSource):
__doc__ = electrodes.StepCurrentSource.__doc__
translations = build_translations(
('amplitudes', 'amplitudes'),
('times', 'times')
)
class ACSource(MockCurrentSource, electrodes.ACSource):
__doc__ = electrodes.ACSource.__doc__
translations = build_translations(
('amplitude', 'amplitude'),
('start', 'start'),
('stop', 'stop'),
('frequency', 'frequency'),
('offset', 'offset'),
('phase', 'phase')
)
class NoisyCurrentSource(MockCurrentSource, electrodes.NoisyCurrentSource):
translations = build_translations(
('mean', 'mean'),
('start', 'start'),
('stop', 'stop'),
('stdev', 'stdev'),
('dt', 'dt')
)
class StaticSynapse(synapses.StaticSynapse):
__doc__ = synapses.StaticSynapse.__doc__
translations = build_translations(
('weight', 'WEIGHT'),
('delay', 'DELAY'),
)
def _get_minimum_delay(self):
d = state.min_delay
if d == 'auto':
d = state.dt
return d
class TsodyksMarkramSynapse(synapses.TsodyksMarkramSynapse):
__doc__ = synapses.TsodyksMarkramSynapse.__doc__
translations = build_translations(
('weight', 'WEIGHT'),
('delay', 'DELAY'),
('U', 'UU'),
('tau_rec', 'TAU_REC'),
('tau_facil', 'TAU_FACIL'),
('u0', 'U0'),
('x0', 'X'),
('y0', 'Y')
)
def _get_minimum_delay(self):
d = state.min_delay
if d == 'auto':
d = state.dt
return d
class STDPMechanism(synapses.STDPMechanism):
__doc__ = synapses.STDPMechanism.__doc__
base_translations = build_translations(
('weight', 'WEIGHT'),
('delay', 'DELAY'),
('dendritic_delay_fraction', 'dendritic_delay_fraction')
)
def _get_minimum_delay(self):
d = state.min_delay
if d == 'auto':
d = state.dt
return d
class AdditiveWeightDependence(synapses.AdditiveWeightDependence):
__doc__ = synapses.AdditiveWeightDependence.__doc__
translations = build_translations(
('w_max', 'wmax'),
('w_min', 'wmin'),
('A_plus', 'aLTP'),
('A_minus', 'aLTD'),
)
class MultiplicativeWeightDependence(synapses.MultiplicativeWeightDependence):
__doc__ = synapses.MultiplicativeWeightDependence.__doc__
translations = build_translations(
('w_max', 'wmax'),
('w_min', 'wmin'),
('A_plus', 'aLTP'),
('A_minus', 'aLTD'),
)
class AdditivePotentiationMultiplicativeDepression(
synapses.AdditivePotentiationMultiplicativeDepression
):
__doc__ = synapses.AdditivePotentiationMultiplicativeDepression.__doc__
translations = build_translations(
('w_max', 'wmax'),
('w_min', 'wmin'),
('A_plus', 'aLTP'),
('A_minus', 'aLTD'),
)
class GutigWeightDependence(synapses.GutigWeightDependence):
__doc__ = synapses.GutigWeightDependence.__doc__
translations = build_translations(
('w_max', 'wmax'),
('w_min', 'wmin'),
('A_plus', 'aLTP'),
('A_minus', 'aLTD'),
('mu_plus', 'muLTP'),
('mu_minus', 'muLTD'),
)
class SpikePairRule(synapses.SpikePairRule):
__doc__ = synapses.SpikePairRule.__doc__
translations = build_translations(
('tau_plus', 'tauLTP'),
('tau_minus', 'tauLTD'),
('A_plus', 'aLTP'),
('A_minus', 'aLTD'),
)