Fiches de cours 2017-2018

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Caution, these contents corresponds to the coursebooks of last year


In Silico neuroscience

BIOENG-450

Lecturer(s) :

Hill Sean Lewis
Schürmann Felix

Language:

English

Summary

"In silico Neuroscience" introduces students to a synthesis of modern neuroscience and state-of-the-art data management and computing technologies. This includes perspectives on neuroinformatics, neurosimulation, scientific computing, neuromorphic computing, clinical informatics, ethics and policy.

Content

"In silico Neuroscience" introduces masters students to a synthesis of modern neuroscience and state-of-the-art data management and computing technologies. The course will cover a number of key topics including: 1) how neuroscience data is acquired, organized and integrated (neuroinformatics), 2) data-driven modeling and validation of synapses, cells and networks (neurosimulation), 3) software technologies for simulation and analysis (scientific computing), 4) how the brain as a computational device may influence information technology (neuromorphic computing), 5) how to generate 'big data' from the clinic (clinical neuroinformatics), 6) Ethical issues, and the global outlook including the emerging large-scale brain initiatives. The target audience are technically adept students in the EPFL Neuroscience program and students from other programs (e.g. I&C, SB, CSE) interested in applying their domain techniques to neuroscience.

Learning Prerequisites

Recommended courses

Neuroscience II

Introduction to programming

Projects in informatics

Important concepts to start the course

general knowledge on cellular neuroscience

experience in elementary programming (preferentially python)

Learning Outcomes

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

Teaching methods

Classroom teaching & exercises

group work

Assessment methods

Written exam (100%)

In the programs

  • Life Sciences and Technologies - master program, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      4
    • Subject examined
      In Silico neuroscience
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
  • Life Sciences and Technologies - master program, 2017-2018, Master semester 4
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      4
    • Subject examined
      In Silico neuroscience
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
  • Neuroprosthetics minor, 2017-2018, Spring semester
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      4
    • Subject examined
      In Silico neuroscience
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
  • Computational Neurosciences minor, 2017-2018, Spring semester
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      4
    • Subject examined
      In Silico neuroscience
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
  • Neuroscience (edoc), 2017-2018
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      4
    • Subject examined
      In Silico neuroscience
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks

Reference week

MoTuWeThFr
8-9
9-10
10-11
11-12
12-13
13-14
14-15
15-16
16-17
17-18
18-19
19-20
20-21
21-22
Under construction
Lecture
Exercise, TP
Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German