AaronSpieler/elmneuron
Code related to the ELM neuron.
This project offers a specialized neuron model designed to efficiently process complex, time-dependent data, similar to how biological neurons handle information over extended periods. It takes in experimental data related to neuron activity or spiking patterns and produces predictions and analyses of these intricate neural signals. Neuroscientists and computational biologists who study neural dynamics and brain function would find this particularly useful.
No commits in the last 6 months.
Use this if you are a neuroscientist or computational biologist working with large datasets of neural activity and need an efficient way to model and understand long-horizon dependencies in neuronal behavior.
Not ideal if you are looking for a general-purpose machine learning model for non-biological data or if you need a solution for very short-term data analysis without complex temporal relationships.
Stars
13
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AaronSpieler/elmneuron"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
digantamisra98/Mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Sentdex/nnfs_book
Sample code from the Neural Networks from Scratch book.
itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
vzhou842/cnn-from-scratch
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
nicklashansen/rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.