morphologica is a header-only C++ library which provides simulation support facilities for simulations of dynamical systems.
It helps with:
Configuration: morphologica allows you to easily set up a simulation parameter configuration system, using the JSON reading and writing abilities of morph::Config.
SignalBuddy is an easy-to-make, easy-to-use signal generator for scientific applications. Making friends is hard, but making SignalBuddy is easy. All you need is an Arduino Uno! SignalBuddy replaces more complicated and (much) more expensive signal generators in laboratory settings where one millisecond resolution is sufficient.
jsPsych is a JavaScript library for running behavioral experiments in a web browser. The library provides a flexible framework for building a wide range of laboratory-like experiments that can be run online.
NetPyNE (Networks using Python and NEURON) is a Python package to facilitate the development, simulation, parallelization, analysis, and optimization of biophysical neuronal networks using the NEURON simulator.
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The easiest way to get started creating online behavioural experiments! psygo is a CLI tool that streamlines the development of custom jsPsych plugins, allowing you to create custom behavioural experiments that can be run online.
Greedy is a tool for fast medical image registration. It is a fast CPU-based deformable image registration tool that can be used in applications where many images have to be registered in parallel.
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis.
The TGAC Browser is a Genomic Browser with novel rendering and annotation capabilities designed to overcome some shortcomings in available approaches. It was developed to visualize genome annotations from Ensembl Database Schema.
Easy whole-brain modeling for computational neuroscientists 👩🏿🔬💻🧠
In its essence, neurolib is a computational framework for simulating coupled neural mass models written in Python. It helps you to easily load structural brain scan data to construct brain networks where each node is a neural mass representing a single brain area.
World Wide Series Seminar With YAPiC you can make your own customized filter (also called model or classifier) to enhance a certain structure of your choice with a simple Python based command line interface, installable with pip.