A visual simulation of the Hindmarsh-Rose neuron model.
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Updated
May 10, 2016 - C++
A visual simulation of the Hindmarsh-Rose neuron model.
Neural Environment for Random Variable Estimation
Artificial neural networks that performs number recognition functions using FANN library
Micro neural network with multi-dimensional layers, multi-shaped data, fully or locally meshing, conv2D, unconv2D, Qlearning, ... for test!
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
Mutual information between neural responses and stimuli: the case of noise correlations. Interactive web widget and tutorial! :)
A neuron for kalliope to get cryptocurrency price in other currency
Project of libraries containing machine learning models.
Rolling release code for the nTracer ImageJ/Fiji plugin, as published in: Roossien DH, et. al, Bioinformatics 2019.
Feedforward neural network class written in Python
Code for Important Processing Steps For .Tiff or .Raw Video Files Acquired From 2-Photon Imaging System + Completely Automated and With NWB Schema (.HDF5) Capability
This pdf shows some methods to fine tune the hyperparameters of a Neural Network to increase it's performance. It also puts light on some of the common problems related to Neural Networks along with their solutions.
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).
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