Simplifying the life of a computational neuroscientist.

Installation

pip install brainbox

BrainBox overview

Don't reinvent the wheel and take advantage of pre-written code for doing common computational neuroscience analysis. Analyzing spike data? Fitting receptive fields? Evaluating prediction performance of encoding models? Analyzing tuning properties of your visual models? Then BrainBox can help!

Examples

The following notebooks contain example code showing how to use BrainBox for specific tasks.

Receptive fields

• Fitting 2D Gaussians
• Fitting Gabors

Spikes

• Binning and smoothing
• ISIs and CVs
• Cross-correlograms

Evaluation

• CC and CCnorm

Tuning

• OSI, DSI, F1F0 and more

Citation

If you use DevTorch in your work, please cite it as follows:

@software{brainbox2024,
  author       = {Taylor, Luke},
  title        = {BrainBox: Simplifying the life of a computational neuroscientist.
},
  month        = Feb,
  year         = 2025,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.14787822},
  url          = {https://doi.org/10.5281/zenodo.14787822}
}

License

BrainBox has a MIT license, as found in the LICENSE file.