Marcus Ghosh's repositories

Utilities

Mainly 3rd Party Functions

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2p_Imaging_Analysis

Code for compiling and analysing two photon data

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Closer

Code for running and analysing closer

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Frame_by_Frame

Tools for frame by frame analysis

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neat-python

Python implementation of the NEAT neuroevolution algorithm

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Nonlinear_fusion

Code for the paper Ghosh et al., 2024: Nonlinear fusion is optimal for a wide class of multisensory tasks

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R

R Code

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State_Space

Clustering (etc) code

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Structure_Paper

Code for the paper Ghosh & Rihel, 2020: Hierarchical compression reveals sub-second to day-long structure in larval zebrafish behavior

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Test_Code

Working

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Threading

Tools for analysing behavioural patterns

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TReND-CaMinA

TReND school in Comp Neuro and ML

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