Neurons

Documentation of Neuron classes.

Neuron

class pylgn.core.Neuron(background_response, annotations)

Neuron base class.

Variables:

• center_response –
• background_response (quantity scalar) – Background activity.
• annotations (dict) – Dictionary with various annotations on the Neuron object.
• connections (dict) – Dictionary with connected neurons including the connectivity kernel and weight.
• response (quantity array) – Spatiotemporal response
• response_ft (quantity array) – Fourier transformed response
• irf (quantity array) – Spatiotemporal impulse-response function
• irf_ft (quantity array) – Fourier transformed impulse-response function

__init__(background_response, annotations)

Neuron constructor

Parameters:

• background_response (quantity scalar) – Background activity.
• annotations (dict) – Dictionary with various annotations on the Neuron object.

add_connection(neuron, kernel, weight)

Add connection to another neuron.

Parameters:

• neuron (pylgn.Neuron) – Source neuron
• kernel (functions) – Connectivity kernel
• weight (float) – Connectivity weight

annotate(annotations)

Add annotations to a Neuron object.

Parameters:annotations (dict) – Dictionary containing annotations

center_response

Response of neuron in the center of grid over time

Returns:out – Response of neuron in the center of grid over time Return type:quantity array

evaluate_irf_ft(w, kx, ky)

Evaluates the Fourier transform of impulse-response function

Ganglion class

class pylgn.core.Ganglion(background_response, kernel, annotations={})

__init__(background_response, kernel, annotations={})

Ganglion constructor

Parameters:

• background_response (quantity scalar) – Background activity.
• kernel (function) – Impulse-response function.
• annotations (dict) – Dictionary with various annotations.

evaluate_irf_ft(w, kx, ky)

Evaluates the Fourier transform of impulse-response function

set_kernel(kernel)

Set the impulse-response function.

Parameters:kernel (func or tuple) – Fourier transformed kernel/ tuple of Fourier transformed spatial and temporal kernel

Relay class

class pylgn.core.Relay(background_response, annotations={})

__init__(background_response, annotations={})

Relay constructor

Parameters:

• background_response (quantity scalar) – Background activity.
• annotations (dict) – Dictionary with various annotations.

evaluate_irf_ft(w, kx, ky)

Evaluates the Fourier transform of impulse-response function

Cortical class

class pylgn.Cortical(background_response, annotations={})

__init__(background_response, annotations={})

Cortical constructor

Parameters:

• background_response (quantity scalar) – Background activity.
• annotations (dict) – Dictionary with various annotations.

evaluate_irf_ft(w, kx, ky)

Evaluates the Fourier transform of impulse-response function

DescriptiveNeuron class

class pylgn.core.DescriptiveNeuron(background_response, kernel, annotations={})

__init__(background_response, kernel, annotations={})

Descriptive neuron constructor

Parameters:

• background_response (quantity scalar) – Background activity.
• kernel (function) – Impulse-response function.
• annotations (dict) – Dictionary with various annotations.

evaluate_irf_ft(w, kx, ky)

Evaluates the Fourier transform of impulse-response function

set_kernel(kernel)

Set the impulse-response function.

Parameters:kernel (func or tuple) – Fourier transformed kernel/ tuple of Fourier transformed spatial and temporal kernel