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Brian Kim edited this page Oct 23, 2023
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NeuroPy is a package for analyzing electrophysiological data using Python. This package is primarily developed for hippocampal recordings, but can also be used for general electrophysiological data.
- Python 3.9
- NumPy 1.20.2
- SciPy 1.6.2
- Getting Started
- Installation
- NeuroPy Quickstart
- NeuroPy: Basics
- Fundamentals and Usage
- Coming Soon...
- Advanced Usage and Interoperability?
- TBD
- Analyses
- Core
- I/O
- Plotting
- Utilities
If you use NeuroPy in your research, please consider citing it.
@misc{neuropy2021,
author = {Bapun Giri, Nat Kinsky},
title = {{NeuroPy: Electrophysiology analysis using Python}},
year = 2020--2021,
version = {0.0.1},
url = {https://github.com/diba-lab/NeuroPy}
}
- artifact.py
- brainstates.py
- decoders.py
- laps.py
- ms_connectivity.py
- neurons_correlation.py
- neurons_stability.py
- oscillations.py
- placefields.py
- reactivation.py
- spkepochs.py
- time_dependent_placefields.py
- trace_fc.py
- animal.py
- ca_neurons.py
- datawriter.py
- epoch.py
- event.py
- neurons.py
- position.py
- probe.py
- ratemap.py
- signal.py
- binarysignalio.py
- dlcio.py
- minianio.py
- miniscopeio.py
- movie.py
- neuroscopeio.py
- openyphysio.py
- optitrackio.py
- phyio.py
- spykingcircusio.py
- usvio.py
- ca_events.py
- dataviz.py
- epochs.py
- figure.py
- placemaps.py
- position.py
- probe.py
- ratemaps.py
- signals.py
- spikes.py
- align_util.py
- ccg.py
- ccg_gpu.py
- chunkingData.py
- colors_util.py
- debug_helpers.py
- decoding.py
- dynamic_container.py
- efficient_interval_search.py
- eventCorr.py
- load_exported.py
- manipulate_files.py
- mathuil.py
- matplotlib_helpers.py
- minian_util.py
- miniscope_denoise.py
- misc.py
- neurons_util.py
- plot_util.py
- position_util.py
- probe_util.py
- result_context.py
- signal_process.py