pynn_brainscales.brainscales2.standardmodels.cells.CalibHXNeuronCoba

class pynn_brainscales.brainscales2.standardmodels.cells.CalibHXNeuronCoba(plasticity_rule: Optional[pynn_brainscales.brainscales2.plasticity_rules.PlasticityRule] = None, *, v_rest: Optional[Union[int, List, numpy.ndarray]] = None, v_reset: Optional[Union[int, List, numpy.ndarray]] = None, v_thresh: Optional[Union[int, List, numpy.ndarray]] = None, tau_m: Optional[Union[int, List, numpy.ndarray]] = None, tau_syn_E: Optional[Union[int, List, numpy.ndarray]] = None, tau_syn_I: Optional[Union[int, List, numpy.ndarray]] = None, cm: Optional[Union[int, List, numpy.ndarray]] = None, tau_refrac: Optional[Union[int, List, numpy.ndarray]] = None, i_synin_gm_E: Optional[Union[int, List, numpy.ndarray]] = None, i_synin_gm_I: Optional[Union[int, List, numpy.ndarray]] = None, e_rev_E: Optional[Union[int, List, numpy.ndarray]] = None, e_rev_I: Optional[Union[int, List, numpy.ndarray]] = None, synapse_dac_bias: Optional[Union[int, List, numpy.ndarray]] = None, **parameters)

Bases: pynn_brainscales.brainscales2.standardmodels.cells.CalibHXNeuronCuba

HX Neuron with automated calibration. Cell parameters correspond to parameters for Calix spiking calibration.

Uses conductance-based synapses.

__init__(plasticity_rule: Optional[pynn_brainscales.brainscales2.plasticity_rules.PlasticityRule] = None, *, v_rest: Optional[Union[int, List, numpy.ndarray]] = None, v_reset: Optional[Union[int, List, numpy.ndarray]] = None, v_thresh: Optional[Union[int, List, numpy.ndarray]] = None, tau_m: Optional[Union[int, List, numpy.ndarray]] = None, tau_syn_E: Optional[Union[int, List, numpy.ndarray]] = None, tau_syn_I: Optional[Union[int, List, numpy.ndarray]] = None, cm: Optional[Union[int, List, numpy.ndarray]] = None, tau_refrac: Optional[Union[int, List, numpy.ndarray]] = None, i_synin_gm_E: Optional[Union[int, List, numpy.ndarray]] = None, i_synin_gm_I: Optional[Union[int, List, numpy.ndarray]] = None, e_rev_E: Optional[Union[int, List, numpy.ndarray]] = None, e_rev_I: Optional[Union[int, List, numpy.ndarray]] = None, synapse_dac_bias: Optional[Union[int, List, numpy.ndarray]] = None, **parameters)

Set initial neuron parameters.

All parameters except for the plasticity rule have to be either 1-dimensional or population-size dimensional.

Additional key-word arguments are also saved in the parameter space of the neuron but do not influence the calibration.

Parameters

  • plasticity_rule – Plasticity rule which is evaluated periodically during the experiment to change the parameters of the neuron.

  • v_rest – Resting potential. Value range [50, 160].

  • v_reset – Reset potential. Value range [50, 160].

  • v_thresh – Threshold potential. Value range [50, 220].

  • tau_m – Membrane time constant. Value range [0.5, 60]us.

  • tau_syn_E – Excitatory synaptic input time constant. Value range [0.3, 30]us.

  • tau_syn_I – Inhibitory synaptic input time constant. Value range [0.3, 30]us.

  • cm – Membrane capacitance. Value range [0, 63].

  • tau_refrac – Refractory time. Value range [.04, 32]us.

  • i_synin_gm_E – Excitatory synaptic input strength bias current. Scales the strength of excitatory weights. Technical parameter which needs to be same for all populations. Value range [30, 800].

  • i_synin_gm_I – Inhibitory synaptic input strength bias current. Scales the strength of excitatory weights. Technical parameter which needs to be same for all populations. Value range [30, 800].

  • e_rev_E – Excitatory COBA synaptic input reversal potential. At this potential, the synaptic input strength will be zero. Value range [60, 160].

  • e_rev_I – Inhibitory COBA synaptic input reversal potential. At this potential, the synaptic input strength will be zero. Value range [60, 160].

  • synapse_dac_bias – Synapse DAC bias current. Technical parameter which needs to be same for all populations Can be lowered in order to reduce the amplitude of a spike at the input of the synaptic input OTA. This can be useful to avoid saturation when using larger synaptic time constants. Value range [30, 1022].

Methods

__init__([plasticity_rule, v_rest, v_reset, …])

Set initial neuron parameters.

add_calib_params(calib_params, cell_ids)

Attributes

conductance_based

default_parameters

param_trans

translations

units

add_calib_params(calib_params: Dict, cell_ids: List) → Dict
conductance_based: Final[bool] = True
default_parameters: Final[Dict[str, Any]] = {'cm': 63, 'e_rev_E': 300.0, 'e_rev_I': 30.0, 'i_synin_gm_E': 180, 'i_synin_gm_I': 250, 'plasticity_rule_enable_readout_source': False, 'plasticity_rule_readout_source': 0.0, 'synapse_dac_bias': 400, 'tau_m': 10.0, 'tau_refrac': 2.0, 'tau_syn_E': 10.0, 'tau_syn_I': 10.0, 'v_reset': 100.0, 'v_rest': 110.0, 'v_thresh': 160.0}
param_trans = {'adaptation': 'adaptation', 'cm': 'membrane_capacitance', 'e_rev_E': 'e_coba_reversal', 'e_rev_I': 'e_coba_reversal', 'exc_synin': 'exc_synin', 'i_synin_gm_E': 'i_synin_gm', 'i_synin_gm_I': 'i_synin_gm', 'inh_synin': 'inh_synin', 'plasticity_rule_enable_readout_source': 'plasticity_rule_enable_readout_source', 'plasticity_rule_readout_source': 'plasticity_rule_readout_source', 'synapse_dac_bias': 'synapse_dac_bias', 'tau_m': 'tau_mem', 'tau_refrac': 'refractory_time', 'tau_syn_E': 'tau_syn', 'tau_syn_I': 'tau_syn', 'v': 'v', 'v_reset': 'reset', 'v_rest': 'leak', 'v_thresh': 'threshold'}
translations: Final[Dict[str, str]] = {'adaptation': {'forward_transform': 'adaptation', 'reverse_transform': 'adaptation', 'translated_name': 'adaptation'}, 'cm': {'forward_transform': 'cm', 'reverse_transform': 'cm', 'translated_name': 'cm'}, 'e_rev_E': {'forward_transform': 'e_rev_E', 'reverse_transform': 'e_rev_E', 'translated_name': 'e_rev_E'}, 'e_rev_I': {'forward_transform': 'e_rev_I', 'reverse_transform': 'e_rev_I', 'translated_name': 'e_rev_I'}, 'exc_synin': {'forward_transform': 'exc_synin', 'reverse_transform': 'exc_synin', 'translated_name': 'exc_synin'}, 'i_synin_gm_E': {'forward_transform': 'i_synin_gm_E', 'reverse_transform': 'i_synin_gm_E', 'translated_name': 'i_synin_gm_E'}, 'i_synin_gm_I': {'forward_transform': 'i_synin_gm_I', 'reverse_transform': 'i_synin_gm_I', 'translated_name': 'i_synin_gm_I'}, 'inh_synin': {'forward_transform': 'inh_synin', 'reverse_transform': 'inh_synin', 'translated_name': 'inh_synin'}, 'plasticity_rule_enable_readout_source': {'forward_transform': 'plasticity_rule_enable_readout_source', 'reverse_transform': 'plasticity_rule_enable_readout_source', 'translated_name': 'plasticity_rule_enable_readout_source'}, 'plasticity_rule_readout_source': {'forward_transform': 'plasticity_rule_readout_source', 'reverse_transform': 'plasticity_rule_readout_source', 'translated_name': 'plasticity_rule_readout_source'}, 'synapse_dac_bias': {'forward_transform': 'synapse_dac_bias', 'reverse_transform': 'synapse_dac_bias', 'translated_name': 'synapse_dac_bias'}, 'tau_m': {'forward_transform': 'tau_m', 'reverse_transform': 'tau_m', 'translated_name': 'tau_m'}, 'tau_refrac': {'forward_transform': 'tau_refrac', 'reverse_transform': 'tau_refrac', 'translated_name': 'tau_refrac'}, 'tau_syn_E': {'forward_transform': 'tau_syn_E', 'reverse_transform': 'tau_syn_E', 'translated_name': 'tau_syn_E'}, 'tau_syn_I': {'forward_transform': 'tau_syn_I', 'reverse_transform': 'tau_syn_I', 'translated_name': 'tau_syn_I'}, 'v': {'forward_transform': 'v', 'reverse_transform': 'v', 'translated_name': 'v'}, 'v_reset': {'forward_transform': 'v_reset', 'reverse_transform': 'v_reset', 'translated_name': 'v_reset'}, 'v_rest': {'forward_transform': 'v_rest', 'reverse_transform': 'v_rest', 'translated_name': 'v_rest'}, 'v_thresh': {'forward_transform': 'v_thresh', 'reverse_transform': 'v_thresh', 'translated_name': 'v_thresh'}}
units: Final[Dict[str, str]] = {'adaptation': 'dimensionless', 'cm': 'dimensionless', 'e_rev_E': 'dimensionless', 'e_rev_I': 'dimensionless', 'exc_synin': 'dimensionless', 'i_synin_gm_E': 'dimensionless', 'i_synin_gm_I': 'dimensionless', 'inh_synin': 'dimensionless', 'plasticity_rule_enable_readout_source': 'dimensionless', 'plasticity_rule_readout_source': 'dimensionless', 'refractory_time': 'us', 'synapse_dac_bias': 'dimensionless', 'tau_m': 'us', 'tau_syn_E': 'us', 'tau_syn_I': 'us', 'v': 'dimensionless', 'v_reset': 'dimensionless', 'v_rest': 'dimensionless', 'v_thresh': 'dimensionless'}