|Erasmus code / ISCED:||(unknown) / (unknown)|
|Course title:||Computational Neuroscience|
|Name in Polish:||Modelowanie komputerowe układu nerwowego|
|Organizational unit:||Faculty of Physics|
(in Polish) ZFBM, II stopień; Neuroinformatyka
|ECTS credit allocation (and other scores):||
This course provides an introduction to the field of theoretical and computational neuroscience.
We will explore the models and computational principles governing various aspects of neuronal dynamics, including passive membrane properties, active currents and action potentials, synaptic transmission, generation of rhythmic activity and synchronization. We will also develop computational models at the mesocopic scale.
We will make use of Simulink and Neuron simulation software
1. Introduction to Matlab and Simulink
2. Population models - alpha rhythm model of Lopes da Silva
3. Introduction to Neuron, building simple models using graphical user interfaces.
4. Theory - resting membrane potential
5. Simulation of resting membrane potential
6. Theory - action potential
7. Simulations of action potential
8. Membrane currents and their influence on neuron's firing pattern
9. Theory - synaptic transmission
10. Simulations of synaptic transmission
11. Simple models in hoc language
12. NMDL language
13. Object oriented programming in hoc.
14. Integrate and fire (IF) neuron model
15. Networks of IF neurons
15. Realistic neuronal neurons
75h - attending the lectures - 5 ECTS
30h - preparations for the lectures - 1 ECTS
45h - final project - 1.5 ECTS
Total: 7.5 ECTS
Nicholas T. Carnevale, Michael L. Hines The NEURON Book, Cambridge University Press, 2006 (free pdf)
Peter Dayan and Laurence F. Abbott Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001 (free pdf)
Wulfram Gerstner and Werner M. Kistler, Spiking Neuron Models: Single Neurons, Populations, Plasticity, Cambridge University Press, 2002 (free html)
D. Johnston and S. M. Wu Foundations of Cellular Neurophysiology, MIT Press 1995
Students will learn how mathematical and computational tools can be used to understand the dynamics of neurons, neural networks and generation of some of the EEG rhythms.
|Assessment methods and assessment criteria:||
An individual project
Presence in the classroom has no influence on the final grade, yet it is encouraged.
Participation in the course allows to obtain 5 ECTS for the Student Group Project. Group projects should be performed in groups of 3-5 students and should be documented in the publicly available final report.
Classes in period "Winter semester 2023/24" (in progress)
|Time span:||2023-10-01 - 2024-01-28||
Navigate to timetable
|Type of class:||
Classes, 45 hours, 20 places
Lecture, 30 hours, 20 places
|Group instructors:||Piotr Suffczyński|
|Students list:||(inaccessible to you)|
Lecture - Grading
Copyright by University of Warsaw.