JOSS Papers: Computational Neuroscience

Published Papers

published Published 4 months ago

py_neuromodulation: Signal processing and decoding for neural electrophysiological recordings

JavaScript Python

10.21105/joss.08258

published Published 5 months ago

MNE-LSL: Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.

Python

10.21105/joss.08088

published Published over 1 year ago

BlueCelluLab: Biologically Detailed Neural Network Experimentation API

Python Jupyter Notebook

10.21105/joss.07026

published Published almost 2 years ago

PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments

Python C++ Cython

10.21105/joss.05854

published Published about 2 years ago

Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric

Python

10.21105/joss.05451

published Published about 2 years ago

mTRFpy: A Python package for temporal response function analysis

Python

10.21105/joss.05657

published Published about 3 years ago

PyNM: a Lightweight Python implementation of Normative Modeling

Python Jupyter Notebook

10.21105/joss.04321

published Published about 3 years ago

Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data

Python

10.21105/joss.03842

published Published over 3 years ago

NeuralFieldEq.jl: A flexible solver to compute Neural Field Equations in several scenarios

Julia

10.21105/joss.03974

published Published almost 4 years ago

diman: A Clojure Package for Dimensional Analysis

Clojure

10.21105/joss.03735

Displaying papers 1 - 10 of 12 in total

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