Neural-Engineering

This contains lab reports and projects from BIOMEDE 517 - Neural Engineering at the University of Michigan. I learned a great deal about electrode design for neural tissue stimulation and recording, neural anatomy and simulating various neural models with COMSOL and NEURON, gathering, processing, and analyzing data such as EEG and ECoG with continuous decoders such as Kalman Filters, and making predictions over neural data with machine learning and deep learning techniques.

Final Project

Recurrent Neural Network - TensorFlow - Seizure Detection in EEG time series data https://drive.google.com/open?id=1ny_rpRuls5TKembJwWOjQ8je2l1HZpg9

Labs 1 and 2 - Implications of Single Neuron Simulations

https://drive.google.com/open?id=15cTpGDx8xEGZiD-Wn_OGkbxqwg24AirV

Labs 3 and 4 - Implications of Electrostatic Modeling of Neurons and Heads

https://drive.google.com/open?id=1EnTbKwI_ZDEQv29xA3HhJ-dHnpQ4t4wf

Labs 5 and 6 - Interpretations of Neural Recordings

https://drive.google.com/open?id=1Rb-G8BuZIwuIjfTM7-rUt21vWMbq4Vxo

Labs 7, 8, and 9 - Machine Learning and Computational Analysis of Neural Data

https://drive.google.com/open?id=1h3N8cSHIxGkGvmGi5hgWT3dB65wUY-sQ

Labs 10 and 11 - Computational Neural Networks for Biological Neural Network Data and Seizure Detection

https://drive.google.com/open?id=1qTNpoONaLLm-sxWAzRdLGBqqxtpbALRl