Materials aiding our research
NeuroML is a modular, declarative, and simulator-independent standard for specifying computational neuroscience models. The community-driven ecosystem of NeuroML models and tools is growing every year.
SciDash: SciUnit and NeuronUnit
SciUnit is a framework for test-driven validation of scientific models. NeuronUnit provides a set of pre-built tests that can be used to assess how well a neuroscience model corresponds to experimental data.
NeuroML Database provides access to 1,500+ NeuroML models. Each model features extensive characterizations of electrophysiology, morhology, and computational complexity.
SwarmsSight is a video analysis software with two modules: one for assessing changes in motion in video scenes and another for tracking the positions of insect antennae.
PyLMeasure: A Python Wrapper for LMeasure
PyLMeasure provides a Python interface to the popular neuronal morphology analysis software L-Measure.
hoc2swc: A HOC to SWC converter
hoc2swc is a Python package that converts a model instantiated in NEURON simulator to the popular SWC morphology format. Tools like L-Measure that support the SWC format can then be used to analyze and visualize neuron model morphology.
NSF COA: Auto-generate your COA forms for NSF grant applications
Tired of filling out your Collaborators and Other Affiliations form by hand? Have papers with dozens of co-authors? Let us do the work for you.
Calimag: A calcium imaging conversion pipeline to convert raw data to the NWB standard file format.
MoSeq: Machine vision for behavior analysis
MoSeq is a technique that uses 3D machine vision and unsupervised machine learning to automatically discover the underlying modular structure of mouse behavior in the lab. Please email firstname.lastname@example.org with your full contact information and a valid GitHub account name, and we can help you get started.