ETH - Introduction to Neuroinformatics

A collection of fragments of understanding in the pursuit of deeper questions.

Computational Vision
Introduction to Data Science
Translational Neuromodeling
Deep Learning in Artificial & Biological Neuronal Networks
Introduction to Neuroinformatics
Intro to Neuroscience
Systems Neuroscience
Readings in Neuroinformatics
Neurobiology of Consciousness
Econometrics
Principles of Finance
Big Data & Databases
Game Theory
Intro to Blockchain
Marketing Analytics
Financial Accounting
Fundamentals of Computer Science
Foundamentals of Information Technology Law
Statistics
Computer Programming
Macroeconomics
EU Information Law & Data Economy
Advanced Mathematics & Statistics
Principles of Management
Mathematics
Microeconomics

ETH - Introduction to Neuroinformatics

Metadata

Professors: Giacomo Indiveri, Wolfger Von Der Behrens, Valerio Mante, Benjamin Grewe, Matthew Cook, Daniel Kiper

Academic Year: Fall 2022

[!PDFs]+ PDFs (2022) Elia's Lecture Notes: 📄 ETH - Introduction to Neuroscience - Lecture Notes - PDF.pdf (2019) TAs Lecture Notes: 📄 ETH - Introduction to Neuroinformatics - Summary 2019 - PDF.pdf

Lecture Notes
- ETH - Introduction to Neuroinformatics - Lecture Notes
Extracted Topics
- Introduction to Neuroinformatics
- Organization of the Brain
- Resting Potentials
- Passive Membrane
- Action Potential
- Synapses I
- Synapses II
- The Neural Code
- Plasticity and Learning
- The Perceptron
- Hopfield Networks
- Feed-Forward Networks
- Interacting Neural Populations
- Neuromorphic VLSI
Exercises & Solutions

Contents

ETH - Introduction to Neuroinformatics

Lecture Notes

Extracted Topics

Exercises & Solutions