A neuron for kalliope to get cryptocurrency price in other currency

Project of libraries containing machine learning models.

Feedforward neural network class written in Python

Documentation for the hierarchical neuron format

A visual simulation of the Hindmarsh-Rose neuron model.

Honors assignment for BIOL 110

Neural Environment for Random Variable Estimation

A C++ program to simulate the neuronal network model described in Rossoni et al. (2008) Emergent Synchronous Bursting of Oxytocin Neuronal Network. PLoS Comput Biol 4(7)

This repository focuses on the Neural Networks and deep learning. It is a workbook you can refer it for a reference. I'll Include following content here: Neurons, perceptrons, weight and biases, learning rate, activation form, hyper parameters, RNN, CNN and other popular concepts.

Artificial Neural Network with Backpropagation developed in python as a learning algorithm to predict if the different cases contain signs of diabetic retinopathy or not

Neurobiological simulation assignments as part of SYDE 556/750 2022

C++ classes of Izhikevich type neurons that can be networked to simulate custom spiking neural networks

The R package to estimate neuron maturity index, a series of scores representing maturity states of homogeneous neuronal samples (e.g. single neurons), given the gene expression information by RNA-sequencing (in FPKM).

Neural camera experiment

Machine learning project, classifying different plants and handwritten numbers using a set of neurons (light-weight deep learning)

Implementation of NBLAST for large datasets

Hello, These are the codes for the paper titled "Emergence of neural persistence: Insights from computational modelling" authored by Vishal Verma available on biorxv. If you want to use something, feel free to do it. But kindly Cite The Preprint if you do. Thank you.

Simple feed forward neural network with back propagation learning algorithm

A easy-to-use/create for a template NeuralNetwork that can be personalized for various uses.