|SCIENTIFIC DISCIPLINARY SECTOR||ING-INF/06|
Computational Neuroscience is an advanced course offered to students in the last year of the master's degree in Bioengineering aimed at providing the tools and methods for modeling the nervous system at different scales, from single neurons to complex neuronal networks. In particular, transmembrane ion channels, single neurons, synapses and neuron networks will be studied and analyzed using different modeling strategies.
Neurons: advanced biophysical modeling and computer simulation techniques. Synapses: Phenomenological models vs biophysical models; Exponential synapses at one and two time constants; Synaptic plasticity; Neuron networks: simplified models; Role of connectivity in network dynamics
Goal of the teaching is to provide the theoretical contents for modeling neuronal structures at different scale, from single neuron up to large-scale complex networks. For this reason, the course will be focused on how to model and simulate the electrophysiological activity of neuronal structures. Based on the tools offered, the objectives of the course are:
- model neuronal networks with particular patterns of electrophysiological activity
- choose the correct neuron models based on experimental needs
- solve advanced theoretical problems of neuronal computation
- choose the best computational strategy based on the required problem
Advanced knowledge of mathematics, mathematical analysis; analysis of electrophysiological signals; neurophysiology
Combination of traditional lectures, classroom discussion, and lab activities.
Slides available on Aulaweb.
Office hours: Appointment by e-mail
PAOLO MASSOBRIO (President)
SILVIO PAOLO SABATINI (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Oral exam about all the topics of the teaching.
Exams will be during the months of December, January, February, June, July, and September. No others exams will be provided during the year. After the exam, the student has 1 week to decide if the mark is fine or not. After this 1 week, the exam will be signed with the assigned mark.
Oral exam about the advanced techniques for modeling neuronal structures from single neuron up to large-scale neuronal networks.