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Jason Manley's Projects

anipose icon anipose

A framework for scalable markerless 3D tracking

brainwide-behavior-encoding icon brainwide-behavior-encoding

Some more interactive visualizations of the data reported by Stringer & Pachitariu et al. 2019: Spontaneous behaviors drive multidimensional, brainwide activity.

caiman icon caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

clogcatcher icon clogcatcher

AI for detecting stalled blood vessels in Alzheimer's models

covid icon covid

COVID-19 visualization and analysis

deeplabcut icon deeplabcut

Markerless tracking of user-defined features with deep learning

facemap icon facemap

matlab/python GUI for unsupervised video analysis of rodent behavior (capable of processing multiple camera views)

forms icon forms

Flexible Object Reconstruction from Multiple Silhouettes. Cashman & Fitzgibbon, 'What Shape are Dolphins? Building 3D Morphable Models from 2D Images', 2012. Updated 2018, Jason Manley.

maximum_processing_tools icon maximum_processing_tools

Pipeline based on NoRMCorre and CaImAn for segmenting large FOV, volumetric Light Bead Microscopy data.

motionmapper icon motionmapper

Sample implementation of the MotionMapper behavioral analysis algorithms

noisyopt icon noisyopt

Python library for optimizing noisy functions.

phi_toolbox icon phi_toolbox

Toolbox for practical calculations of integrated information under the gaussian assumption. See their original papers for details: Oizumi et al., 2016, PLoS Computational Biology & Oizumi et al., 2016, PNAS. Obtained from https://figshare.com/articles/phi_toolbox_zip/3203326.

pysfm icon pysfm

Some tools for submodular function minimization in Python

slurmpy icon slurmpy

submit jobs to slurm with quick-and-dirty python

suite2p icon suite2p

cell detection in calcium imaging recordings

vgg-multiple-view-geometry icon vgg-multiple-view-geometry

A set of MATLAB utilities for multiple view geometry, provided alongside Hartley & Zisserman's "Multiple View Geometry in Computer Vision, Second Edition" (2004). Obtained from http://www.robots.ox.ac.uk/~vgg/hzbook/code/.

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