Playground

class dendrify.playground.Playground

A class that creates a graphical user interface for interactively visualizing, exploring, and calibrating dendritic spikes in Dendrify.

Methods:

run	Initializes the graphical environment, allowing the user to interact with the model by adjusting slider values, neuron parameters, and simulation parameters.
set_model_params	Updates the default model parameters with new values provided by the user.
set_slider_params	Updates the default slider parameters with new values provided by the user.

run(timeit=False)

Initializes the graphical environment, allowing the user to interact with the model by adjusting slider values, neuron parameters, and simulation parameters.

Parameters:

timeit (bool) – If True, prints the time taken to run a simulation.

set_model_params(user_model_params)

Updates the default model parameters with new values provided by the user.

Parameters:

user_model_params (dict[str, Quantity]) – A dictionary containing the new model parameters. Valid keys are: 'C', 'gL', 'EL', and 'reversal_fall'. The corresponding values are expected to be in units of pF, nS, mV, and mV, respectively.

Examples

>>> playground.set_model_params({'C': 100 * pF, 'gL': 2 * nS, 'EL': -65 * mV})

set_slider_params(user_slider_params)

Updates the default slider parameters with new values provided by the user.

Parameters:

user_slider_params (dict[str, list]) –

A dictionary containing the new slider parameters. Valid keys are:

• 'current'

• 'threshold'

• 'g_rise'

• 'g_fall'

• 'duration_rise'

• 'duration_fall'

• 'offset_fall'

• 'refractory'

• 'reversal_rise'

The corresponding values must be in the format: [min value, max value, initial value, step, unit]. The first four elements are expected to be integers or floats, while the last element must be a Brian2 Quantity.

Examples

>>> playground.set_slider_params({'current': [0, 300, 150, 5, pA],
...                               'threshold': [-65, 0, -30, 1.0, mV]})