Janos Vörös: Katalogdaten im Herbstsemester 2021 |
Name | Herr Prof. Dr. Janos Vörös |
Lehrgebiet | Bioelektronik |
Adresse | Inst. f. Biomedizinische Technik ETH Zürich, GLC F 12.1 Gloriastrasse 37/ 39 8092 Zürich SWITZERLAND |
Telefon | +41 44 632 59 03 |
Fax | +41 44 632 11 93 |
janos.voros@biomed.ee.ethz.ch | |
URL | http://www.lbb.ethz.ch |
Departement | Informationstechnologie und Elektrotechnik |
Beziehung | Ordentlicher Professor |
Nummer | Titel | ECTS | Umfang | Dozierende | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
227-0085-38L | Projekte & Seminare: Controlling Biological Neuronal Networks Using Machine Learning ![]() Findet dieses Semester nicht statt. Nur für Elektrotechnik und Informationstechnologie BSc. Die Lerneinheit kann nur einmal belegt werden. Eine wiederholte Belegung in einem späteren Semester ist nicht anrechenbar. | 3 KP | 2P | J. Vörös | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Der Bereich Praktika, Projekte, Seminare umfasst Lehrveranstaltungen in unterschiedlichen Formaten zum Erwerb von praktischen Kenntnissen und Fertigkeiten. Ausserdem soll selbstständiges Experimentieren und Gestalten gefördert, exploratives Lernen ermöglicht und die Methodik von Projektarbeiten vermittelt werden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lernziel | The way memory and learning is achieved in the brain is an unsolved problem. Due to its relative simplicity, in-vitro neuroscience can help us discover the fundamentals of information processing in the brain. For this we can simulate a small number of biological neurons on top of an array of microelectrodes. Such an approach allows us to simulate the electrical activity of the neurons when they get stimulated. Following this approach, we can investigate biological neural networks, that have about 5-50 neurons and a controlled network architecture. Still, their behavior remains highly unpredictable. Therefore, it is not yet clear how such networks need to be stimulated electrically in order to control their behavior. However, we can use machine learning to find a mapping between a stimulus and a desired response. More specifically, we can use reinforcement learning, since finding the right stimulation pattern is an instance of the so called multi-armed bandit problem. This P&S consists of two parts. In the first part we will introduce you to the way neurons can be simulated. You will learn how neurons work and how they communicate. The second part will be about machine learning. We will discuss the basics of both artificial neural networks (ANN) and reinforcement learning. As homework exercises you will implement a reward function for a provided reinforcement learner, which will control your biological networks. In addition you will implement an ANN, that replaces unsatisfactorily performing stimulation patterns with new patterns, that this network evaluates to perform better. If the current situation will allow, the developed ANNs will be tested on real neurons in our laboratory. This P&S will be given in English. In total, the P&S takes 8 afternoons and about 50 hours of homework (ANN implementation). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
227-0386-00L | Biomedical Engineering ![]() | 4 KP | 3G | J. Vörös, S. J. Ferguson, S. Kozerke, M. P. Wolf, M. Zenobi-Wong | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Introduction into selected topics of biomedical engineering as well as their relationship with physics and physiology. The focus is on learning the concepts that govern common medical instruments and the most important organs from an engineering point of view. In addition, the most recent achievements and trends of the field of biomedical engineering are also outlined. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lernziel | Introduction into selected topics of biomedical engineering as well as their relationship with physics and physiology. The course provides an overview of the various topics of the different tracks of the biomedical engineering master course and helps orienting the students in selecting their specialized classes and project locations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Inhalt | Introduction into neuro- and electrophysiology. Functional analysis of peripheral nerves, muscles, sensory organs and the central nervous system. Electrograms, evoked potentials. Audiometry, optometry. Functional electrostimulation: Cardiac pacemakers. Function of the heart and the circulatory system, transport and exchange of substances in the human body, pharmacokinetics. Endoscopy, medical television technology. Lithotripsy. Electrical Safety. Orthopaedic biomechanics. Lung function. Bioinformatics and Bioelectronics. Biomaterials. Biosensors. Microcirculation.Metabolism. Practical and theoretical exercises in small groups in the laboratory. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Skript | Introduction to Biomedical Engineering by Enderle, Banchard, and Bronzino AND https://lbb.ethz.ch/education/biomedical-engineering.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
227-0393-10L | Bioelectronics and Biosensors ![]() | 6 KP | 2V + 2U | J. Vörös, M. F. Yanik | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | The course introduces bioelectricity and the sensing concepts that enable obtaining information about neurons and their networks. The sources of electrical fields and currents in the context of biological systems are discussed. The fundamental concepts and challenges of measuring bioelectronic signals and the basic concepts to record optogenetically modified organisms are introduced. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lernziel | During this course the students will: - learn the basic concepts of bioelectronics - be able to solve typical problems in bioelectronics - learn about the remaining challenges in this field | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Inhalt | Lecture 1. Introduction to the field of bioelectronics and its challenges Sources of bioelectronic signals L2. Membrane and Transport L3. Action potential and Hodgkin-Huxley L4. Action potential and Hodgkin-Huxley 2 Measuring bioelectronic signals L5. Detection and Noise L6. Measuring currents in solutions, nanopore sensing and patch clamp pipettes L7. Measuring potentials in solution and core conductance L8. Measuring electronic signals with wearable electronics, ECG, EEG L9. Measuring mechanical signals with bioelectronics In vivo stimulation and recording L10. Functional electric stimulation L11. In vivo electrophysiology Optical recording and control of neurons (optogenetics) L12. Measuring neurons optically, fundamentals of optical microscopy L13. Fluorescent probes and scanning microscopy, optogenetics, in vivo microscopy L14. Measuring chemical signals | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Skript | The course has its own script including the exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Voraussetzungen / Besonderes | The course requires an open attitude to the interdisciplinary approach of bioelectronics. In addition, it requires undergraduate entry-level familiarity with electric & magnetic fields/forces, resistors, capacitors, electric circuits, differential equations, calculus, probability calculus, Fourier transformation & frequency domain, lenses / light propagation / refractive index, pressure, diffusion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kompetenzen![]() |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
227-0970-00L | Research Topics in Biomedical Engineering Findet dieses Semester nicht statt. | 0 KP | 1K | K. P. Prüssmann, S. Kozerke, M. Stampanoni, K. Stephan, J. Vörös | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Current topics in Biomedical Engineering presented by speakers from academia and industry. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lernziel | Getting insight into actual areas and problems of Biomedical Engineering an Health Care. |