Software

Load confound

Load a sensible subset of the fMRI confounds generated with fMRIprep in python (Esteban et al., 2018). The predefined denoising strategies are all adapted from Ciric et al. 2017. Check the docstring of each strategy for more info and a list of parameters.

CellExplorer - Framework for analyzing single cells

The large diversity of cell-types of the brain, provides the means by which circuits perform complex operations. Understanding such diversity is one of the key challenges of modern neuroscience. Neurons have many unique electrophysiological and behavioral features from which parallel cell-type classification can be inferred.

BrainGlobe

World Wide Series Seminar BrainGlobe is a suite of Python-based computational neuroanatomy software tools. We provide software packages for the analysis and visualisation of neuroanatomical data, particularly from whole-brain microscopy.

Kilosort

World Wide Series Seminar Kilosort is a software package for identifying neurons and their spikes in extracellular electrophysiology, a process known as “spike sorting”. Kilosort has been primarily developed and tested on the Neuropixels 1.

An Open-source Anthropomorphic Robot Hand System: HRI Hand

We present an open-source anthropomorphic robot hand system called HRI hand. Our robot hand system was developed with a focus on the end-effector role of the collaborative robot manipulator. HRI hand is a research platform that can be built at a lower price (approximately $500, using only 3D printing) than commercial end-effectors.

Suite2P

World Wide Series Seminar Suite2P is a very modular imaging processing pipeline written in Python which allows you to perform registration of raw data movies, automatic cell detection, extraction of calcium traces and infers spike times.

BigPint Bioconductor package that makes BIG (RNA seq) data pint sized

The BigPint package can help examine any large multivariate dataset. However, we note that the example datasets and example code in this package consider RNA-sequencing datasets. If you are using this software for RNA-sequencing data, then it can help you confirm that the variability between your treatment groups is larger than that between your replicates and determine how various normalization techniques in popular RNA-sequencing analysis packages (such as edgeR, DESeq2, and limma) affect your dataset.

Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC)

COINSTAC provides a platform to analyze data stored locally across multiple organizations without the need for pooling the data at any point during the analysis. It is intended to be an ultimate one-stop shop by which researchers can build any statistical or machine learning model collaboratively in a decentralized fashion.

Computer-controlled dog treat dispenser

When performing canine operant conditioning studies, the delivery of the reward can be a limiting factor of the study. While there are a few commercially available options for automatically delivering rewards, they generally require manual input, such as using a remote control, in accordance with the experiment script.

EASI-FISH

This workflow is used to analyze large-scale, multi-round, high-resolution image data acquired using EASI-FISH (Expansion-Assisted Iterative Fluorescence In Situ Hybridization). It takes advantage of the n5 filesystem to allow for rapid and parallel data reading and writing.