Learning by analogy: cerebral bases

Slides:



Advertisements
Similar presentations
The neural substrates of abstract/concrete word processing Gabriella Vigliocco, UCL Stavroula-Thaleia Kousta, UCL Joseph T. Devlin, UCL Stefano Cappa,
Advertisements

Acoustic versus perceptual accounts of speaker differentiation within anterior auditory cortex Nicolas J. Abreu Carolyn McGettigan Sophie K. Scott Institute.
The functional role of neural activity preceding memory formation Leun Otten & Matthias Gruber BUCNI project presentation 19 Feb 2009 Part of BBSRC project.
Medial rostral prefrontal cortex and the neuroeconomics of mental time travel Roland G. Benoit Sam J. Gilbert Paul W. Burgess University College London.
[Title] Iroise Dumontheil Ian Apperly Sarah-Jayne Blakemore Institute of Cognitive Neuroscience, UCL UCL Neural substrates of online perspective taking.
Valence and Imageability in Word Processing UCL: Eleni Orfanidou, Dafydd Waters, Davidf Vinson Joe Devlin, Gabriella Vigliocco San Raffaele: Pasquale della.
Global visual form & motion processing in adults John Wattam-Bell Dee Birtles Sheila Moazzami …
Age-related changes in activation during tip-of-the-tongue: An event-related fMRI study. M.A. Shafto 1, E.A. Stamatakis 1, P.P. Tam 1, D.M. Burke 3, &
Detecting Conflict-Related Changes in the ACC Judy Savitskaya 1, Jack Grinband 1,3, Tor Wager 2, Vincent P. Ferrera 3, Joy Hirsch 1,3 1.Program for Imaging.
Section 1 fMRI for Newbies
HST:583 fMRI Acquisition Lab1 Susan Whitfield-Gabrieli TASKS: Self Reference Sensorimotor Breath holding Sternberg Self ReferenceSternberg Breath holding.
fMRI data analysis at CCBI
Dissociating the neural processes associated with attentional demands and working memory capacity Gál Viktor Kóbor István Vidnyánszky Zoltán SE-MRKK PPKE-ITK.
RESULTS RESULTSRESULTS RESULTSRESULTS Cognitive Control and Comorbid Methamphetamine Abuse in Schizophrenia Patients R Salo 1, S Ursu 1, TE Nordahl 1,
1 Learning fMRI-Based Classifiers for Cognitive States Stefan Niculescu Carnegie Mellon University April, 2003 Our Group: Tom Mitchell, Luis Barrios, Rebecca.
1 Classifying Instantaneous Cognitive States from fMRI Data Tom Mitchell, Rebecca Hutchinson, Marcel Just, Stefan Niculescu, Francisco Pereira, Xuerui.
FMRI: Biological Basis and Experiment Design Lecture 16: Final projects Experiment design Data simulation Data analysis 1 light year = 5,913,000,000,000.
Neural mechanisms of feature- based attention Taosheng Liu.
Neural correlates of facial expression perception: Using adaptation to shift the emotion perceived in unambiguous expressions Phil Pell Anne Richards Marty.
Stimulus Presentation and Image Acquisition Valentina Petre.
Activate Grades K-2. Activate Comes to us from Yale University Based on the work of Dr. Wexler Underwritten by a grant from NIH Based on neuroscience.
National Alliance for Medical Image Computing Slicer fMRI introduction.
Susceptibility Induced Loss of Signal: Comparing PET and fMRI on a Semantic Task Devlin et al. (in press)
Analysis of fMRI data with linear models Typical fMRI processing steps Image reconstruction Slice time correction Motion correction Temporal filtering.
The basic story – fMRI in 25 words or less!. fMRI Setup.
Human perception and recognition of metric changes of part-based dynamic novel objects Quoc C. Vuong, Johannes Schultz, & Lewis Chuang Max Planck Institute.
Studying Memory Encoding with fMRI Event-related vs. Blocked Designs Aneta Kielar.
Drummon, S. P. A., Brown, G. G., Gillin, J. C., Stricker, J. L., Wong, E. C., Buxton, R. B. Lecturer: Katie Yan.
Pattern Classification of Attentional Control States S. G. Robison, D. N. Osherson, K. A. Norman, & J. D. Cohen Dept. of Psychology, Princeton University,
Somatotopy of the Anterior Cingulate Cortex and Supplementary Motor Area for tactile stimulation of the hand and the foot D. Arienzo 1,2, T.D. Wager 3,
MEG Data Analysis with Synthetic Aperture Magnetometry (SAM) Dr. Tom Holroyd NIMH MEG Core Facility.
C O R P O R A T E T E C H N O L O G Y Information & Communications Neural Computation Machine Learning Methods on functional MRI Data Siemens AG Corporate.
[Title] Iroise Dumontheil Sam Gilbert Sarah-Jayne Blakemore Institute of Cognitive Neuroscience, UCL UCL Changes in recruitment of rostral prefrontal cortex.
INTRODUCTION ADULT AGE DIFFERENCES IN THE HEMODYNAMIC RESPONSE DURING VISUAL TARGET DETECTION MEASURED BY FUNCTIONAL MRI David J. Madden 1, Scott A. Huettel.
Experimental Design FMRI Undergraduate Course (PSY 181F)
RIGHT PARIETAL CORTEX PLAYS A CRITICAL ROLE IN CHANGE BLINDNESS by Naser Aljundi.
Modeling and Neuroscience (or ACT-R and fMRI) Jon M. Fincham Carnegie Mellon University, Pittsburgh, PA
FMRI and Behavioral Studies of Human Face Perception Ronnie Bryan Vision Lab
A FMRI Episodic Memory Study A longitudinal protocol in 31 patients presenting with early memory complain F. Gelbert C. Belin, A.M. Ergis, C. Moroni, C.
Date of download: 6/21/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Potential of Pretreatment Neural Activity in the.
A Novel Assessment Tool for Alzheimer's and Frontotemporal Dementias Jeanyung Chey 1,2, Hyun Song 2, Jungsuh Suk 1, & Minue J. Kim 3 The Proportional Reasoning.
The problem 1.1 Background –What is a voice for the brain? –Source/filter theory of voice production: two independent components: larynx (f0) / vocal.
Parameters which can be “optimized” Functional Contrast Image signal to noise Hemodynamic Specificity Image quality (warping, dropout) Speed Resolution.
functional magnetic resonance imaging (fMRI)
Copyright © 2013 American Medical Association. All rights reserved.
FMRI experimental design and data processing
The general linear model and Statistical Parametric Mapping
This research was funded by the Research Department of the VUB
Classification of fMRI activation patterns in affective neuroscience
Slicer fMRI introduction
Event-related fMRI demo
Volume 46, Issue 5, Pages (June 2005)
Volume 60, Issue 5, Pages (December 2008)
Hippocampal Attractor Dynamics Predict Memory-Based Decision Making
Experimental Design FMRI Graduate Course (NBIO 381, PSY 362)
Volume 92, Issue 5, Pages (December 2016)
Scale-Invariant Movement Encoding in the Human Motor System
The general linear model and Statistical Parametric Mapping
Multisensory Perception and Biological Motion
Volume 26, Issue 7, Pages (April 2016)
Adaptive multi-voxel representation of stimuli, rules and responses
Volume 45, Issue 4, Pages (February 2005)
If I Know This What is 0.4 as a fraction? What is 3.8 as a fraction?
Volume 74, Issue 4, Pages (May 2012)
Volume 92, Issue 5, Pages (December 2016)
Predictive Neural Coding of Reward Preference Involves Dissociable Responses in Human Ventral Midbrain and Ventral Striatum  John P. O'Doherty, Tony W.
Basics of fMRI and fMRI experiment design
Volume 16, Issue 15, Pages (August 2006)
Experimental procedures.
Volume 10, Issue 1, Pages (January 2000)
Presentation transcript:

Learning by analogy: cerebral bases Dr Emmanuelle Volle – Dr Sam Gilbert – Pr Paul Burgess UCL - Institute of Cognitive Neuroscience Pr Marty Sereno – BUCNI Pr Bruno Dubois – INSERM U610

NEW KNOWN Periods of the task knowing effect Source Target Source Objective: Neural correlates of different analogy processes by separating source and target periods in new and known trials Periods of the task knowing effect NEW KNOWN Source Target … General concept Mapping Source General concept… apply Target

NEW KNOWN Source Target Source Target Instruction Source set alone Time of a trial Instruction 3 sec Source set alone Random 3 - 6 sec Source & Target sets Self paced- max 8,5 sec Example of a trial displayed on a screen Scale of a trial Fbck 0.5s ITI 0.7s Scale of a whole session: knowing effect NEW Source Target … General concept Mapping Source General concept… apply Target KNOWN

NEW KNOWN Instruction Source set alone Source & Target sets BLOCK1 Time of a trial Instruction 3 sec Source set alone Random 3 - 6 sec Source & Target sets Self paced- max 8,5 sec Scale of a trial Fbck 0.5s ITI 0.7s Scale of a whole session: knowing effect A BLOCK = 42 trials: 14 Cross+14 Intra+14 Match Random: C-I-C-M-I-C-M-I-C-I-M-M-C-M-I-I-… NEW 14 IntraA 14 CrossA 14 Match BLOCK1 Source / Target BLOCK2 Analogy / Control BLOCK3 New / Known 14 IntraA 14 CrossA 14 Match BLOCK4 KNOWN X 16 whole brains of Healthy Subjects Mean total duration < 40 min 14 trials X 3 tasks X 4 blocks

Pilot study (n = 12) Performances Reaction time Self confidence Analogy Match NS

Protocol logic? Testing group Control group 2 3 Instruction and training 1 Performance of ANALOGIES Learning evaluation 28 patterns logic? 14 intra 14 cross + 14 cont Control group Instruction and training 1 7

Design Same 7 concepts 14 intra 14 cross + 14 cont BLOCK1 BLOCK2 Abstract concepts -Symmetry around the middle -Linear increase/progression -Mirror image -Sum/combination -Proportion/multiplication -First is different from others -Subtraction For each concept per bloc: -2 analogies “intradomain” -2 “cross domain” with at least one new dimension Counterbalanced blocs between subjects

Concept learning evaluation Testing group 23,25/28 N = 12 Learning evaluation 28 patterns Ttest P < 0,0003 logic? Control group 15,17/28 N = 12 9

fMRI sequence TR 2500 ms TE 40 ms Voxel 3.5X3.5X3.5 33 interleaved slices