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Module providing Consciousness Exploration Tools for PyTorch.

Note

This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the gallery for the big picture.

class consciousnet.models.brainnetcnn.Edge2Edge(input_shape, channels, filters)[source]

Implementation of the Edge-to-Edge (e2e) layer.

The E2E filter is defined in terms of topological locality, by combining the weights of edges that share nodes together.

__init__(input_shape, channels, filters)[source]

Init class.

Parameters

input_shape : int

the size of the functional connectivity matrix.

channels : int

number of input channel.

filters : int

number of output channel

forward(x)[source]

e2e by two conv2d with line filter.

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