Resources

Resource Type
  • Research Tool
Summary

Python Rayleigh-Sommerfeld integral for acoustics with optional CUDA graphics processing unit (GPU) implementation.

BRAIN Project: MH109105

Resource Type
  • Research Tool
Summary

Open-source software for laser scanning microscopy, electrophysiology, and laser scanning photostimulation.

BRAIN Project: MH110021, NS094246

Resource Type
  • Research Tool
Summary

Two-photon microscope control software with multi-area capabilities.

BRAIN Project: NS090475

Resource Type
  • Research Tool
Summary

Open-source software for interictal seizure onset zone classification using intracranial EEG data.

BRAIN Project: NS095495

Resource Type
  • Research Tool
Summary

MATLAB code for analyzing and modeling waves of seizure activity.

BRAIN Project: NSF1451384

Resource Type
  • Research Tool
Summary

Software for use with the compact Acousto-Optic Lens Microscope (AOLM) .

BRAIN Project: NS099689

Resource Type
  • Research Tool
Summary

Software tool to facilitate tractography‐based deep brain stimulation (DBS) electrode targeting.

Resource Type
  • Research Tool
Summary

Methods for reconstructing transcriptional regulatory networks.
BRAIN Project: MH114788

Program
  • Understanding Circuits
Resource Type
  • Grant Application Resource
Priority Area
  • Human Neuroscience
  • Integrated Approaches
  • Interventional Tools
  • Monitor Neural Activity
Summary

Integrative and Quantitative Approaches to Understanding Circuits

Program
  • Cell Census Network (BICCN)
Resource Type
  • Research Tool
Priority Area
  • Cell Type
Summary

FastProject analyzes a gene expression matrix and produces a dynamic output report in which two-dimensional projections of the data can be explored. Annotated gene sets (referred to as 'signatures') are incorporated so that features in the projections can be understood in relation to the biological processes they might represent. FastProject provides a novel method of scoring each cell against a gene signature so as to minimize the effect of missed transcripts as well as a method to rank signature-projection pairings so that meaningful associations can be quickly identified.