GitHub topics: neural-engineering
sbeierle/mistral-downproj-rlhf-patch
Neural patching of Mistral models via MLP.down_proj to bypass RLHF constraints – without touching the LM_HEAD.
Language: HTML - Size: 6.99 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
pulse2percept/pulse2percept
A Python-based simulation framework for bionic vision
Language: Python - Size: 277 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 83 - Forks: 54
mikeroyal/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.
Language: Python - Size: 926 KB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 456 - Forks: 63
tjjlemaire/IntroNE
Code material for the interactive recitations of the NYU course "Introduction to Neural Engineering"
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 2
pitt-rnel/br_stimpy
br_stimpy: a python wrapper for Blackrock Neurotech's Cerestim API
Language: C++ - Size: 3.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1
guilhermerc/semg-decomposition
Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 6
tararelan/ELEC3810-Final-Project-2023
Neural Network to Classify a Rat's Lever-Press State Based on Neural Firing Information
Language: MATLAB - Size: 574 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Kalana304/Modeling-Neural-Dynamics
This project was done in partial fulfillment of the requirements for the module JEB 1444: Neural Engineering in Winter 2023. First, the FitzHugh-Nagumo model is used to explore the dynamics of a coupled system and generate input-output relationships. Secondly, Wiener Bose Model is used to learn a non-parametric model on input-output signals.
Language: MATLAB - Size: 6.88 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
