2-IKV-188: Computational Neuroscience
Master Program in Cognitive Science, Comenius University in Bratislava

Time/Place

  • Lectures: Tuesday 16:30 - 18:00 in room I-8
  • Labs: Home assignments

Credits: 5

Lecturer: Prof. Ľubica Beňušková

Course aims

Introduction to basic methods of computational modelling of biological neurons and neural circuits. Students will learn the principles and methods of computational neuroscience along with the programming in NEURON. NEURON is a free software for biological neuron and neural networks modelling and simulation.

Assessment

Assignment 1 - due 26 March 2024 20%
Assignment 2 - due 23 April 2024 20%
Assignment 3 - due 24 May 2024 20%
Final exam (compulsory) 40%
Max total 100%

Marking

0-50 % Fx
51-60 % E
61-70 % D
71-80 % C
81-90 % B
91-100 % A

Lectures

PDF Date Topic Reading
Lecture 01 20/02 Principles of computational modelling Chap. 1
Lecture 02 27/02 NEURON: building a soma, Hodgkin-Huxley model Chap. 2, pp. 13-20 & Chap. 3, pp. 47-58 & chap.3, pp. 60-71
Lecture 03 05/03 Theory of dendrites Chap. 2, pp. 29-41 & Appendix B
Lecture 04 12/03 NEURON: adding dendrites to the soma
Lecture 05 19/03 NEURON: creating more neurons
Lecture 06 26/03 NEURON: creating dendritic tree(s) One rule to grow them all by H. Cuntz et al (journal paper)
No lecture 02/04 Easter Holiday
Lecture 07 09/04 NEURON: connecting neurons Chap. 9, pp. 226-233
Lecture 08 16/04 Theory of synapses and synaptic plasticity Chap. 7, pp. 172-176 and pp. 189-194
Lecture 09 23/04 NEURON and NMODL: ion channels Chap. 5, pp. 96-105, Chap. 5, pp. 105-120 & 131
Lecture 10 30/04 Computational Neurogenetic Modelling - part 1 genetic disorders of the brain
Lecture 11 07/05 Computational Neurogenetic Modelling - part 2 Book chapter
Lecture 12 14/05 Revision: topics for exam Latest Research and Reviews

Literature

Resources