1. Zhuanghua Shi Dragan Rangelov Psychophysics

2. Course lecturers and tutors

4. 4 Reality ≠ Perception  = f(  )

5. Psychophysics  = f(  )   behavior: RT, accuracy   stimulus inputs Behavior = f(stimulus inputs)

6. Why a course on psychophysical methods

7. Experience Introspection Observation Cognitive architecture RT/errors Thresholds … Neural mechanisms fMRI EEG TMS …

8. Why a course on psychophysical methods Complexity of neuro-cognitive phenomena requires their analysis on different levels Levels are characterized by different methodological and research approaches Analysis of behavioral measures helps interpretation of neuroimaging results

9. Describing and opening the black box Psychophysics Describing what functions the cognitive system performs Cognitive neuroscience Describing how and where are these functions implemented f(S, O) Stimulus Behavior Stimulus Behavior Imaging

10. Tilt illusion Erroneous perception of the tilt of the inner grating as a function of contextual stimulation

11. Psychophysics of the tilt illusion Schwartz et al., 2007, NatRevNeur

12. Neuroscience of the tilt illusion Electrophysiological measure responses of populations of neurons to local orientation stimuli Repulsive tuning shifts in primary visual cortex neurons for space and time, for context target differences of 15°

13. Bringing together behavior and neurons From recordings of neurons (left) behavior can reliably be predicted (right-hand side)

14. Aims of the course Overview of “classical” psychophysical methods with reference to their applications in current neuro-cognitive psychology research. Demonstrate purely “psychological” tools for investigating internal states and processes Hands-on experience.

15. Schedule Strongway, Dragan Efsun, Leo Markus Lecture, Mon, 14 – 16:00, Leo 1208 Tutorial G1, Tue, 14 – 16:00, Leo 1202 Tutorial G2, Wed, 14 – 16:00, Leo 1206 19.10.15Intro + SDT I20.10.15 Article distribution 21.10.15Article distribution 26.10.15Adpative Methods 127.10.15 Introduction/Tutor presentations/Student assignments 28.10.15 TUE: Seminar with Efsun/Leo (Tutor Presentations) 02.11.15Adaptative Methods 203.11.15 Student Presentations 04.11.15 Introduction 09.11.15RT I10.11.15 Experiment instruction Week / Lab tour (2 groups) 11.11.15 Experiment Design 16.11.15RT II17.11.15 Designing the experiment 18.11.15 Methods & Lab Tour 23.11.15RT III24.11.15 Data collection/office hours 25.11.15 Data Collection 30.11.15RT IV01.12.15 Data collection/office hours 02.12.15 Data Collection 07.12.15 08.12.15 Data Analysis (SPSS + R) 09.12.15 Analysis I 14.12.15EXAM15.12.15 Data interpretation + Discussion 16.12.15 Analysis II & Discussion 21.12.15 22.12.15 No regular class: Slot reserved for preparation of conference presentation 11.01.16 12.01.16 Final Discussion, Presentation practice, & Report writing 20.01.16 NCP conference + Tijuana (all)

16. Practical work Teaser papers available tomorrow Two groups: 1.Looking Visual search and memory learning 2.Touching Tactile contextual learning Main goal – practical application of the methods covered in the lectures

17. Structure of the course Requirements for course credit points (5 CP) Active participation in lectures and tutorials Presentation of the projects’ results Exam Written report

18. Criteria for the evaluation of the students’ presentation Theoretical importance of the research Research question Paradigm and data collection Appropriateness of data analyses Well illustrated by examples and figures Timing of the talk: 20 minutes good allocation of time for different parts

19. Criteria for written report 6 – 8.000 words long Structure Abstract Introduction Methods/Results Discussion References – consistently formatted (APA) Written report will be graded by several reviewers

20. Course materials Lecture slides http://www.psy.lmu.de/exp/people/ma/rangelov /teaching Research projects related materials provided by the tutors

21. QUESTIONS?