https://github.com/12danielll/neural_networks_project

The project focuses on analyzing neural activity data to classify neuron types (spiny and aspiny). It integrates unsupervised learning methods (PCA, Autoencoders) and supervised learning models (Logistic Regression, MLP) to build accurate classifiers that effectively analyze neurons' electrical responses.

2d-and-3d-visualizations autoencoders classifier-evaluation cortical-neurons data-compression gradient-descent high-dimensional-neural-datasets logistic-regression mlp mlp-networks neural-classification neuron neuronal-network pca-analysis perceptron roc-auc stochastic-gradient-descent supervised-learning unsupervised-learning

Last synced: 16 Mar 2025