Open Source Software
Receptual
Receptual is a lightweight, interactive tool for computing and visualizing neuron receptive fields and linear decoders.
Linear encoding and decoding methods are essential tools for:
- Systems neuroscience
- Computational neuroscience
- Deep learning interpretability
These methods often produce high-dimensional arrays that are difficult to analyze and interpret. Implementation can also be nontrivial.
Receptual helps by providing:
- Standardized implementations of linear encoding and decoding algorithms
- Interactive visualization tools for high-dimensional outputs
- Detailed mathematical documentation of linear methods
Useful links:
- https://github.com/rory-bedford/Receptual
- https://receptual.readthedocs.io/
- https://pypi.org/project/receptual/
Antelop
Antelop is a comprehensive data preprocessing, storage, and analysis tool for systems neuroscience labs. Developed in the Tripodi Lab, it offers:
- Out-of-the-box preprocessing pipelines for electrophysiology, calcium imaging, and behavior
- A graphical user interface for managing experimental data
- SQL backend for structured data storage
- Visualization dashboards for quick inspection
- A standard library of analysis routines
- A reproducibility-focused framework for running and documenting analysis
Although Antelop isn’t yet fully published, you can view a project presentation here.
More info: