PSY546 Selected topics from contemporary neurosciences

Faculty of Social Studies
Autumn 2017
Extent and Intensity
0/0/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Beáta Havlice Špiláková (lecturer)
Mgr. et Mgr. Pavlína Hlavatá (lecturer)
Mgr. Petra Holštajn Zemánková, Ph.D. (lecturer)
Mgr. Martin Jáni, Ph.D. (lecturer)
doc. Mgr. Lenka Lacinová, Ph.D. (lecturer)
Klára Marečková, Ph.D., M.Sc. (lecturer)
Miguel Salazar Adams, M.Sc., Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Lenka Lacinová, Ph.D.
Department of Psychology – Faculty of Social Studies
Supplier department: Department of Psychology – Faculty of Social Studies
Timetable
Fri 6. 10. 8:00–13:00 U32, Fri 20. 10. 8:00–13:00 bude_upresneno, Fri 10. 11. 8:00–13:00 U35, Fri 8. 12. 8:00–13:00 U35
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25
fields of study / plans the course is directly associated with
Course objectives (in Czech)
The aim of this course is to introduce students to selected topics and latest advances in social neurosciences. As a part of the course, students will visit Multimodal and Functional Imaging Laboratory (MAFIL) at Central European Institute of Technology, where various neuroimaging techniques will be demonstrated.
Learning outcomes (in Czech)
At the end of the course, students will
- understand the basics of neuroimaging techniques and the practical aspects of research in neuroscience.
- have knowledge about recent advances in selected areas of social neuroscience research.
Syllabus (in Czech)
  • Introduction to Contemporary Neuroscience
  • Biomarkers and underlying mechanisms of psychiatric diseases
  • Impulsivity
  • Introduction to imaging techniques and brain stimulation
  • Magnetic resonance imaging
  • EEG, TMS & MRI demonstrations
  • The probabilistic nature of the nervous system
  • Ambiguity in social cognition
  • Social cognition in schizophrenia
  • Meta-analysis in neuroscience
  • Altruism, cooperation & competition
  • Presentations & Discussions
Literature
  • Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A., & Poeppel, D. (2017). Neuroscience needs behavior: correcting a reductionist Bias. Neuron, 93(3), 480-490.
  • Cuthbert, B. N., & Insel, T. R. (2013). Toward the future of psychiatric diagnosis: the seven pillars of RDoC. BMC medicine, 11(1), 126.
  • Bowers, J. S., & Davis, C. J. (2012). Bayesian just-so stories in psychology and neuroscience. Psychological bulletin, 138(3), 389.
  • Todorov, A., Harris, L. T., & Fiske, S. T. (2006). Toward socially inspired social neuroscience. Brain research, 1079(1), 76-85.
  • Green, M. F., Horan, W. P., & Lee, J. (2015). Social cognition in schizophrenia. Nature Reviews. Neuroscience, 16(10), 620
  • Zimmer, C., & Clark, R. (2014). Secrets of the brain. Nat. Geogr, 28-58.
  • Luck, S. J. (2005). Ten simple rules for designing ERP experiments. Event-related potentials: A methods handbook, 262083337.
  • Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869.
Teaching methods (in Czech)
Lectures; laboratory visit at CEITEC at University Campus at Bohunice
Assessment methods (in Czech)
Reading: 1-2 papers prior to each block
Writing: a neuroscience research proposal OR presentation of a neuroscientific topic
Attendance: absence on 1 lecture is allowed, if you need to skip an entire block, you will be asked to write an additional assignment
Students will be given their credits based on attendance and writing assignments.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: 4 bloky (3 x 90 min).
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2018.
  • Enrolment Statistics (Autumn 2017, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2017/PSY546