Anthony Azevedo's Projects
Acquisition
Brain Modeling Toolkit
This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data," Neuron, 63:747 (2009): http://tinyurl.com/cellsort
A suite of utilities for managing lab code and data.
Markerless tracking of user-defined features with deep learning
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
from http://www.mathworks.com/matlabcentral/fileexchange/18401-efficient-subpixel-image-registration-by-cross-correlation
Code for processing and analyzing the automated reconstruction of the Lee lab's Female Adult Nerve Cord EM dataset
Analysis routines for data gathered with FlySound acquisition package
Signal in, sine and pulse song out
Fly sounds
Video & image acquisition and experiment control for behavior neuroscience
Theoretical approach to understanding the impact of reproducible responses in a linear-nonlinear convergent network
JSONLab: a native JSON/UBJSON/MassagePack encoder/decoder for MATLAB/Octave
Simple script to label imgXXX.png images for training sets for DLC
Code to port to different machines
Ovation Matlab API and utilities
ParametersDB creates and stores a Pandas representation of the parameter database
python version of raincloud
The official python wrapper for the pylon Camera Software Suite
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
A python implementation of the nobel prize winning matching algorithm.
Interactively detect spikes in D mel data
Statistical Data Analysis in Python
Symphony data acquisition system core libraries
MATLAB interface for the Symphony .NET framework