FacetsML web form

Below is the FacetsML web form generated from its RelaxNG schemas. From that form you can generate valid FacetsML.

Here the javascript controles are disabled, so the "+" and "-" buttons are deactivated. The dropdown lists don't show the content of the different choices when their value is changed.

In order to have those javascript controles, download the attached .html file.

network

      timestep :

      min_delay :

      max_delay :

(ms) simulaton duration

      sim_duration :

      

      extra

            name :

            value :

      rng

            name :

            seed :

            generator : NumpyRNG GSLRNG

      cells

            

            cell

                  name :

                   IF_curr_alpha IF_curr_exp IF_cond_alpha IF_cond_exp IF_cond_exp_sfa_rr AdaptiveExponentialIF_alpha SpikeSourcePoisson SpikeSourceArray NonStandardCellType

                  class:IF_cond_exp_sfa_rr

default_parameters = {

'v_rest'	-65.0,	Resting membrane potential in mV.
'cm'	1.0,	Capacity of the membrane in nF
'tau_m'	20.0,	Membrane time constant in ms.
'tau_refrac'	0.0,	Duration of refractory period in ms.
'tau_syn_E'	5.0,	Decay time of the excitatory synaptic conductance in ms.
'tau_syn_I'	5.0,	Decay time of the inhibitory synaptic conductance in ms.
'e_rev_E'	0.0,	Reversal potential for excitatory input in mV
'e_rev_I'	-70.0,	Reversal potential for inhibitory input in mV
'v_thresh'	-50.0,	Spike threshold in mV.
'v_reset'	-65.0,	Reset potential after a spike in mV.
'i_offset'	0.0,	Offset current in nA
'v_init'	-65.0,	Membrane potential in mV at t = 0
'tau_sfa'	100.0,	Time constant of spike-frequency adaptation in ms
'e_rev_sfa'	-75.0,	spike-frequency adaptation conductance reversal potential in mV
'q_sfa'	15.0,	Quantal spike-frequency adaptation conductance increase in nS
'tau_rr'	2.0,	Time constant of the relative refractory mechanism in ms
'e_rev_rr'	-75.0,	relative refractory mechanism conductance reversal potential in mV
'q_rr'	3000.0	Quantal relative refractory conductance increase in nS

}

                        v_rest : mV V

                        cm : nF mF F

                        tau_m : ms s

                        tau_refrac : ms s

                        tau_syn_E : ms s

                        tau_syn_I : ms s

                        e_rev_E : mV V

                        e_rev_I : mV V

                        v_thresh : mV V

                        v_reset : mV V

                        i_offset : nA mA A

                        v_init : mV V

                        tau_sfa : ms s

                        e_rev_sfa : mV V

                        q_sfa : nS mS S

                        tau_rr : ms s

                        e_rev_rr : mV V

                        q_rr : nS mS S

      populations

            

            population

                  name :

                  label :

                  

                  dim

                        size :

                  cell_type

                        name :

                  randomInit

                        rng :

                         uniform

                        rand:uniform

                              min :

                              max :

      projections

            

            projection

presynaptic_population and postsynaptic_population - Population objects.
source - string specifying which attribute of the presynaptic cell signals action potentials
target - string specifying which synapse on the postsynaptic cell to connect to If source and/or target are not given, default values are used.
method - string indicating which algorithm to use in determining connections. Allowed methods are 'allToAll', 'oneToOne', 'fixedProbability', 'distanceDependentProbability', 'fixedNumberPre', 'fixedNumberPost', 'fromFile', 'fromList'
methodParameters - dict containing parameters needed by the connection method, although we should allow this to be a number or string if there is only one parameter.
WARNING : in the test, the value given is not a dict, but the directy value of the parameter
rng - since most of the connection methods need uniform random numbers, it is probably more convenient to specify a RNG object here rather than within methodParameters, particularly since some methods also use random numbers to give variability in the number of connections per cell.

                  name :

                  presynaptic_population_name :

                  postsynaptic_population_name :

                  method : allToAll oneToOne fixedProbability distanceDependentProbability fixedNumberPre fixedNumberPost fromFile

                  

                  methodParameter

                        name :

                        value :

                  weight :

                  source :

                  target :

                  label :

                  rng :