Translational neuroengineering

Summary

This course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel methods, technology for the clinical application for patients suffering from neuropsychiatric disorders.

Content

Keywords

- translational neuroengineering and neurotechnology

- personalized medicine

- cognition

- sensorimotor processing

- perceptional processing

- pathophysiology of neurological and mental disorders

- basic, systems, computational translational neuroscience

- Regulatory, clinical trials

- start-up

Learning Prerequisites

Required courses

na

Recommended courses

-       Computational motor control

-       Neuroengineering on vision

-       Haptic human robot interfaces

-       Machine Learning for behavioral data

-       VR

-       Understanding statistics and experimental design (and/or Applied biostatistics)

-       Machine Learning for behavioral data

-       Biomedical signal processing

-       Scientific project design in translational neuroscience

Important concepts to start the course

- Basics in sensorimotor, perceptional and cognitive processing.

- Basics in statistics and experimental design

- 'From Bench to bedside' concept

Learning Outcomes

By the end of the course, the student must be able to:

• Contextualise
• Assess / Evaluate
• Discuss
• Present
• Reason
• Hypothesize
• Plan
• Explain

Transversal skills

• Respect relevant legal guidelines and ethical codes for the profession.
• Take account of the social and human dimensions of the engineering profession.
• Demonstrate a capacity for creativity.
• Demonstrate the capacity for critical thinking
• Communicate effectively with professionals from other disciplines.
• Summarize an article or a technical report.
• Use a work methodology appropriate to the task.
• Access and evaluate appropriate sources of information.

Teaching methods

Interactive Lectures, Exercise

Expected student activities

Preparation of lectures including suggested literature review

Active Participation in Lectures

Active participation in exercises

Assessment methods

Written Final Exam (MCQ+Report): 60%

Project Presentations and evaluations: 40%

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

Textbooks for preparation e.g. for Neuromodulation, Neuroscience, Neuroengineering or Neuroprosthetics e.g., Textbook of Neuromodulation (Knotkova, Rasche, Springer New York), Principles of Neural Science (Kandel et al., MCGRAW-HILL Higher Education), Neuroscience: Exploring The Brain, Enhanced Edition (Connors et al. Jones and Bartlett Publishers, Inc), Principles of Cognitive Neuroscience (Purves et al. Oxford University Press), Neuroprosthetics, Principles and Applications (Sanchez, CRC Press), Handbook of Neuroengineering (N. V. Thakor (ed.), Springer Nature Singapore Pte Ltd. 2022)

Ressources en bibliothèque

• Principles of Neural Science, Kandel et al.
• Principles of Cognitive Neuroscience, Purves et al., 2021
• Neuroscience: exploring the brain, Connors et al., ed.6, 2021

Références suggérées par la bibliothèque

Notes/Handbook

will be provided before the course

Moodle Link

• https://go.epfl.ch/NX-423