Data Analysis

CaImAn: open source scalable algorithms for calcium and voltage imaging data

Advances in fluorescence microscopy enable monitoring larger brain areas in-vivo with finer time resolution. The resulting data rates require reproducible analysis pipelines that are reliable, fully automated, and scalable to datasets generated over the course of months.

CASCADE: Calibrated inference of spiking from calcium ΔF/F data using deep networks

CASCADE translates calcium imaging ΔF/F traces into spiking probabilities or discrete spikes. CASCADE is based on deep networks and runs on Python (Linux/Windows/Mac); it can be used either as a web application (Colaboratory notebook), or locally on a CPU or GPU.

DANNCE

DANNCE (3-Dimensional Aligned Neural Network for Computational Ethology) is a convolutional neural network (CNN) that calculates the 3D positions of user-defined anatomical landmarks on behaving animals from videos taken at multiple angles.

Pingouin

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. For a full list of available functions, please refer to the API documentation.

YASA

YASA (Yet Another Spindle Algorithm) is a command-line sleep analysis toolbox in Python. The main functions of YASA are: Automatic sleep staging of polysomnography data (see preprint article). Event detection: sleep spindles, slow-waves and rapid eye movements, on single or multi-channel EEG data.

GuPPy, a Python toolbox for the analysis of fiber photometry data

Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ability to combine FP with freely moving behavior, among other advantages.

Automated morphometric analysis with SMorph software reveals plasticity induced by antidepressant therapy in hippocampal astrocytes

Nervous system development and plasticity involves changes in cellular morphology, making morphological analysis a valuable exercise in the study of nervous system development, function and disease. Morphological analysis is a time-consuming exercise requiring meticulous manual tracing of cellular contours and extensions.

Diffusion MRI Q-ball CSA-ODF and Hough Tractography

This is a diffusion-weighted MRI processing Matlab toolbox (including binaries), which can be used to: • Compute the Q-Ball Imaging Orientation Distribution Function in Constant Solid Angle (CSA-ODF) (Aganj et al, MRM 2010).

Stalefish

Stalefish is a tool to analyse gene expression from ISH or other histology slice images. From your 2D brain slice images you can build a 3D expression surface from a brain structure such as the isocortex or the hippocampus.

NeuroDesk

Neuroimaging researchers require a diverse collection of bespoke command-line and graphical tools to analyse data and answer research questions. Installing and maintaining a neuroimaging software setup is challenging and often results in un-reproducible environments.