santjg's Stars
KordingLab/spykesML
A class for using ML algorithms for spike prediction
cdgreenidge/gdec
Grating decoders
mathiyarasuc/Fetal-state-classification-using-cardiotocography
Fetal Heart Rate (FHR) and Uterine Contractions (UC) and it is one of the most common diagnostic techniques to evaluate maternal and fetal well-being during pregnancy and before delivery. By observing the Cardiotocography trace patterns doctors can understand the state of the fetus. Also, Fetal Heart Rate (FHR) monitoring remains a widely used method for detecting changes in fetal oxygenation that can occur during labor. By observing the Cardiotocography trace patterns doctors can understand the state of the fetus. Therefore we will use CTG data and Support Vector Machine to predict the state of the fetus.
atleer/Laminar-Population-Analysis
Repository containing code for Laminar Population Analysis as presented in Rimehaug et al. (2024).
3b1b/manim
Animation engine for explanatory math videos
alonbar110/Systems-medicine-WIS-2022-
A repository with tutorials and solutions for the course Systems medicine (WIS 2022)
oanegros/MicroscopyNodes
Loading and handling microscopy data in blender
EnnyvanBeest/UnitMatch
Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days
profConradi/eigenfish
# Eigenfish Ideas by the wonderful ["Computational Discovery on Jupyter"](https://computational-discovery-on-jupyter.github.io/Computational-Discovery-on-Jupyter/index.html) by Neil J. Calkin, Eunice Y.S. Chan, and Robert M. Corless, and the gallery of the [Bohemian Matrices site](http://bohemianmatrices.com).
AllenInstitute/ecephys_spike_sorting
Modules for processing extracellular electrophysiology data from Neuropixels probes
SpikeInterface/spikemetrics
Metrics for spike sorting validation/quality control
SpikeInterface/spiketoolkit
Python-based tools for pre-, post-processing, validating, and curating spike sorting datasets.
tritemio/pycorrelate
Fast and accurate cross-correlation over arbitrary time lags. Moved to:
michi-d/receptive_field_reverse_correlation
Code for receptive field reconstruction from visual neurons using white-noise analysis
JorritMontijn/zetapy
Python code implementing the ZETA-test
Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
elibroftw/music-caster
Music Caster is a modern music player with the ability to cast audio files, system audio, and URLs to Google Chromecasts, Google Home/Nest Minis, etc.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
AllenInstitute/neuropixels_platform_paper
Code used to generate figures for Siegle, Jia et al. (2019)
cortex-lab/phy
phy: interactive visualization and manual spike sorting of large-scale ephys data
m-beau/NeuroPyxels
NeuroPyxels (npyx) is a python library built for electrophysiologists using Neuropixels electrodes. This package stems from the need of a pythonist who really did not want to transition to MATLAB to work with Neuropixels: it features a suite of core utility functions for loading, processing and plotting Neuropixels data.
denmanlab/dlab
denman lab shared functions and repositories
brainglobe/brainrender
a python based software for visualization of neuroanatomical and morphological data.
NeurodataWithoutBorders/pynwb
A Python API for working with Neurodata stored in the NWB Format
MouseLand/Kilosort
Fast spike sorting with drift correction for up to a thousand channels
AllenInstitute/AllenSDK
code for reading and processing Allen Institute for Brain Science data
cortex-lab/allenCCF
Tools to work with Allen Inst CCF data in matlab
petersaj/neuropixels_trajectory_explorer
Neuropixels trajectory explorer with the Allen CCF mouse atlas
datajoint/datajoint-python
Relational data pipelines for the science lab
joao-semedo/communication-subspace
Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)