Code for Computational Neuroscience course 2020/2021 @ UniPi
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Updated
Sep 23, 2021 - MATLAB
Code for Computational Neuroscience course 2020/2021 @ UniPi
Details of certified courses covered by me. Includes notes and solutions to programming exercises.
University Project for "Intelligent Systems" course (MSc Computer Engineering @ University of Pisa). ECG Fitting, Forecasting and Activity Classification using NN, CNN, RNN and Fuzzy Systems.
This library instantiates an liquid-state RNN to solve Newsome & Shadlin's task. It does so with an itinerating attractor network.
Computational Neuroscience models
Classify 6 types of human activity from time series sensor data
Machine learning ( RNN (Recurrent Neural Network) and SVM (Support Vector Machine) ) recognition/classification of 7 hand gestures using 6 channels of BioRadio 150 & BioCapture
This RNN classifies the behavior of objects in traffic by their risk, helping Autonomous driving cars to be safer. Part of a Matlab Challange by Mathworks
Development of a spinal pattern generator (SPG) model to predict muscle activations at the ankle joint during walking
Computational Neuroscience projects.
Generalized Implementation of RNNs for Chaotic Time Series Prediction
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
Ensemble RNN based neural network for ECG anomaly detection
Efficient, transparent deep learning in hundreds of lines of code.
Deep Recurrent Neural Networks for Source Separation
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