Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Top 15 Python neuroscience Projects
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
-
MI-EEG-1D-CNN
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
-
Shallow-learning
Replicating brain's low energy high efficiency model architecture & calculating (maths)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [D] [P] Need help in my Thesis project "A comparison study of EEG analysis by Deep Learning vs Expert board cerrtified Neurologist analysis for 100 patient data | /r/deeplearning | 2023-05-03Till now i have found only 1 open source model (aka BRAINCODE) that can be used (I will try to make a setup and analyse its feasability , it looks like it can be used as far as i can understnad from its Github reprository (https://github.com/braindecode/braindecode/)
If you are looking for datasets I would recommend OpenNeuro or NEMAR. Highly recommend you check out https://github.com/Neurotechx/moabb though and focus on results across datasets
Project mention: Is Conway's Game of Life Conscious According to Integrated Information Theory? | /r/askscience | 2023-06-05it's not very hard to build a model (and the corresponding transition probability matrix) for a GoL network. and the version 4.0 formalism code is online for anyone to use (https://github.com/wmayner/pyphi). so you could try to answer the question for yourself (though it gets computationally prohibitive for networks bigger than 10 units or so, so...)
If you have experience with Python, you can use the FOOOF (Fitting Oscillations & One Over F) toolbox to analyze your EEG data and find the highest peak in the theta band for each electrode.
Python neuroscience related posts
-
My Idea for solving Omni-Directional Treadmills
-
Python program hands when working with Myo armband and Servos
-
EMG Finger Tracking with SteamVR
-
Neural finger tracking with SteamVR
-
PyoMyo - Python Opensource Myo library
-
I developed an open source application for vasculature datasets analysis & visualization. Wanted to share an example result.
-
A note from our sponsor - InfluxDB
www.influxdata.com | 1 May 2024
Index
What are some of the best open-source neuroscience projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | snntorch | 1,073 |
2 | braindecode | 706 |
3 | moabb | 617 |
4 | brainrender | 508 |
5 | Kilosort | 402 |
6 | pyphi | 355 |
7 | fooof | 340 |
8 | Neuromorphic-Computing-Guide | 247 |
9 | python-meegkit | 166 |
10 | MI-EEG-1D-CNN | 143 |
11 | pyomyo | 125 |
12 | awesome-tech-rss | 114 |
13 | TorchGA | 86 |
14 | NeuroTS | 34 |
15 | Shallow-learning | 2 |
Sponsored