-
Flow Neuroscience
- London, UK
-
04:28
(UTC) - tsbinns.com
- https://orcid.org/0000-0003-0657-0891
- in/tsbinns
- @tsbinns.com
Highlights
- Pro
Stars
PyTorch implementation of the Subject-Conditioned Layer from “Mitigating Subject Dependency in EEG Decoding with Subject-Specific Low-Rank Adapters” enabling subject-specific LoRA adaptation for EE…
Deep learning software to decode EEG, ECG or MEG signals
A conda-smithy repository for pybispectra.
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
All Algorithms implemented in Python
Capture audio and stream it over LabStreamingLayer
a python3 version of matlab mTRF-Toolbox by Lalor Lab https://mtrfpy.readthedocs.io/
Code for preprocessing, analysis, and plotting used in the PhD dissertation "Shared network mechanisms of dopamine and deep brain stimulation for the treatment of Parkinson’s disease" submitted to …
A new backend for the 2D data browser in MNE-Python
A framework for real-time brain signal streaming with MNE-Python.
Real-time analysis of intracranial neurophysiology recordings.
An open-source software package for working with electrophysiological data.
Code for preprocessing, analysis, and plotting used in Binns et al. (2025), Nature Communications, DOI: 10.1038/s41467-025-58825-z
Exploratory analysis of Bayesian models with Python
script to convert MPL cmaps to an XML format readable by ITK-SNAP
Resources for an introductory course on signal processing in the MNE-Python package.
An open-source software package for statistics with time series.
PTE Decode is an open-source software package for neural decoding.
A simple Python-based tool for finding brain atlas regions based on MNI coordinates.
NumPy aware dynamic Python compiler using LLVM
Sphinx extension for automatic generation of an example gallery
Matlab code and data for the paper "Powerful statistical inference for nested data using sufficient summary statistics" by Irene Dowding and Stefan Haufe
A course for brains interested in brains (not tools interested in tools)
Simulation on different pipelines to analyse functional connectivity from EEG data
Parameterizing neural power spectra into periodic & aperiodic components.
Python port of the PARRM algorithm for removing periodic artefacts from signals.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python