Psychophysical Methods in Cognitive Neuroscience

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Zhuanghua Shi
Dragan Rangelov
Psychophysics
 
Course lecturers and tutors
4
Reality ≠ Perception 
 
 
 = f(
)
Psychophysics
 
 
 = f(
)
 
 
 
behavior: RT, accuracy
 
 stimulus inputs
 
Behavior = f(stimulus inputs)
Why a course on psychophysical methods
Why a course on psychophysical methods
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
Describing and opening the black box
 
Psychophysics
 
 
 
 
 
 
Describing 
what
 functions
the cognitive system
performs
 
Cognitive neuroscience
 
 
 
 
 
 
Describing 
how
 and 
where
 are
these functions implemented
Stimulus
Behavior
Stimulus
Behavior
Imaging
Tilt illusion
 
 
 
 
 
 
 
 
 
Erroneous perception of the tilt of the inner grating
as a function of contextual stimulation
Psychophysics of the tilt illusion
Schwartz et al., 2007, NatRevNeur
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°
Bringing together behavior and neurons
From recordings of neurons (left) behavior can
reliably be predicted (right-hand side)
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.
Schedule
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
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
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
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
Course materials
Lecture slides
http://www.psy.lmu.de/exp/people/ma/rangelov
/teaching
Research projects related materials provided by
the tutors
QUESTIONS?
 
Slide Note

Know each other

Why a course on classical methods?

Structure of the course

Organizational remarks

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This collection of images explores the field of psychophysics, focusing on perception, reality, behavior, and the analysis of cognitive functions. The images delve into the reasons for studying psychophysical methods, the complexity of neuro-cognitive phenomena, and the importance of behavioral measures in interpreting neuroimaging results. Additionally, they touch upon topics such as the tilt illusion, cognitive system functions, and the neuroscience behind perceptual errors.

  • Psychophysics
  • Cognitive Neuroscience
  • Perception
  • Reality
  • Behavioral Measures

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  1. Psychophysics Zhuanghua Shi Dragan Rangelov

  2. Course lecturers and tutors

  3. Perception White and Gold Blue and Brown Black and Blue Switching 9% 10% 28% 53%

  4. Reality Perception = f( ) 4

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

  6. Why a course on psychophysical methods ?

  7. Why a course on psychophysical methods 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 Cognitive neuroscience Stimulus Stimulus Imaging f(S, O) Behavior Behavior Describing what functions the cognitive system performs Describing how and where are these functions implemented

  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 Lecture, Mon, 14 16:00, Leo 1208 Efsun, Leo Markus Tutorial G1, Tue, 14 16:00, Leo 1202 Article distribution Tutorial G2, Wed, 14 16:00, Leo 1206 19.10.15 Intro + SDT I 20.10.15 21.10.15 Article distribution Introduction/Tutor presentations/Student assignments Student Presentations TUE: Seminar with Efsun/Leo (Tutor Presentations) 26.10.15 Adpative Methods 1 27.10.15 28.10.15 Introduction 02.11.15 Adaptative Methods 2 03.11.15 04.11.15 Experiment instruction Week / Lab tour (2 groups) Designing the experiment Experiment Design 09.11.15 RT I 10.11.15 11.11.15 Methods & Lab Tour 16.11.15 RT II 17.11.15 18.11.15 Data collection/office hours Data Collection 23.11.15 RT III 24.11.15 25.11.15 Data collection/office hours Data Collection 30.11.15 RT IV 01.12.15 02.12.15 Data Analysis (SPSS + R) Analysis I 07.12.15 08.12.15 09.12.15 Data interpretation + Discussion No regular class: Slot reserved for preparation of conference presentation Analysis II & Discussion 14.12.15 EXAM 15.12.15 16.12.15 21.12.15 22.12.15 Final Discussion, Presentation practice, & Report writing 11.01.16 12.01.16 NCP conference + Tijuana (all) 20.01.16

  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?

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