Where
Consciousness, Cognition & Computation Group
Université Libre de Bruxelles CP 191BR
Av. F.-D. Roosevelt, 50
1050 Bruxelles
BELGIUM

Tél:  +322 650 32 96
Fax: +322 650 22 09
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The Consciousness, Cognition & Computation Group is located on the 10th floor of Building D on the Solbosch campus of the Université Libre de Bruxelles, in the Department of Psychology. The unit is part of SCoLa, the Interdisciplinary Center for the Study of Cognition and Language.

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Who

Current Members:

... Axel Cleeremans
Research Director, N.F.S.R.
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... Arnaud Destrebecqz
Assistant Professor, ULB
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... Bert Timmermans
Postdoctoral Fellow (EU NEST program "Mindbridge")
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... Stéphanie Chambaron-Ginhac
Postdoctoral Fellow, N.F.S.R.
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... Bruno Berberian
Postdoctoral Fellow, Fyssen Foundation
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... Dominique Ginhac
Postdoctoral Fellow, C.N.R.S.
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... Laure Legrain
Ph.D. student, U.L.B. (mini-ARC program)
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... Dionyssios Theofilou
Ph.D. student, U.L.B. (F.N.R.S.)
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... Antoine Pasquali
Research Assistant, N.F.S.R.
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... Stéphane Doyen
Ph.D. Student (F.N.R.S., U.L.B.)
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... Ana Franco
Research Assistant
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... Astrid Vermeiren
Research Assistant
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... Pedro Magalhaes De Saldanha Da Gama
Research Assistant
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Former Members (hopefully infecting the world with our ideas!):

... Jean-Christophe Sarrazin
Formerly: Marie Curie Postdoctoral Fellow
Currently: postdoc, Université de la Méditterranée
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... Andrew Bremner
Formerly: European Commission Post-Doctoral Fellow
Currently: Lecturer, Dpmt of Psychology, Goldsmith College
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... Nicolas Schmidt
Formerly: Ph.D. student, U.L.B.
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... Bob Reuter
Formerly: Ph.D. Student, N.F.S.R.
Currently: Scientific Collaborator, Université du Luxembourg
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... Vinciane Gaillard
Post-Doctoral Researcher, ULB
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... Muriel Vandenberghe
Formerly: Ph.D. Student, N.F.S.R.
Currently: Clinical Neuropsychologist, Erasme Hospital
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... Cédric Laloyaux
Formerly: Ph.D. Student, N.F.S.R.
Currently: Assistant Professor, Université de Liège
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Iraide Zipitria

Gwendid van der Voort van der Klij

Cathy Lemer

 
What
Cognitive Science
Computational models of cognition
Implicit Learning
Consciousness

Our work is focused on developing an understanding of the relationships between learning and consciousness. Quite a bit of what we know is learned incidentally, and this raises all sorts of interesting questions about the extent to which conscious awareness is neccesary for learning to occur.

Using a combination of behavioral, computational, and brain imaging methods, our team therefore attempts to explore basic mechanisms of learning in different paradigms, such as visual search, sequence learning, or skill acquisition.

Ongoing projects include the following:

    Foundational issues:

    1. Theoretical work on the function of consciousness in learning, and on the nature of conscious experience (with Luis Jiménez, Universidad de Santiago)

    Consciousness and Sequence learning:

    2. Empirical and Modeling work on the nature of abstraction and on the role of sensitivity to repetition distance (inhibition of return) in sequence learning (with Maud Boyer, SRSC)

    3. Empirical and modeling work meant to explore the relationship between direct and indirect measures of sequence learning using the Process Dissociation Procedure (with Arnaud Destrebecqz, SRSC)

    4. Empirical and modeling work aimed at exploring the extent to which amnesic patients can learn about high-order sequential contingencies (with Patrick Féry and Nicolas Schmidt, ULB)

    5. Modeling work aimed to develop a new model of sequence learning that is (1) able to process disjoint contingencies, (2) able to capture the time course of processing in a single trial, and (3) able to capture the distinction between direct and indirect measures of sequence learning (with Arnaud Destrebecqz and Bob Reuter, SRSC)

    6. Empirical work on the relationships between consciousness and cognitive control in the context of sequence learning (with Vincianne Gaillard, SRSC).

    Neural correlates of implicit learning and skill acquisition:

    7. Empirical work meant to explore the role of REM sleep in memory consolidation (with Pierre Maquet, Philippe Peigneux, Martial Vanderlinden and others from the Neuropsychology Unit, Ulg)

    8. Empirical work on the neural correlates of consciousness in sequence learning tasks (with Arnaud Destrebecqz and the team of the Cyclotron Research Center at the Université de Liège)

    9. Empirical work on the fine-grained analysis of chunk formation during skill acquisition, using Seibel's 1023-choice reaction time task (with Michael Dubois, SRSC).

    Implicit learning and language acquisition:

    10. Modeling of biconditional grammar learning (with Bert Timmermans, VUB)

    11. Modeling work aimed at capturing aspects of the development of sensitivity to orthographic regularities in French: Natural language learning as a giant artificial grammar learning experiment! (with Sébastien Pacton & Pierre Perruchet, Université de Bourgogne)

    Implicit learning and spatial cognition:

    12. Modeling and empirical work dedicated to exploring the extent to which spatial navigation and processing involves implicit learning (with Bob Reuter, SRSC)

     

These different projects aim at contributing to develop a perspective on cognition that is based on the notion that learning is an integral part of human information processing and that the latter is best described in terms of continuous, graded and distributed representation and processing systems.
 
Selected publications

Go here for a list of downloadable publications

Maquet, P., Laureys, S., Peigneux, P., Fuchs, S., Petiau, C., Philips, C., Aerts, J., Del Fiore, G.,
Degueldre, C., Meulemans, T., Luxen, A., Franck, G., Van Der Linden, M., Smith, C., & Cleeremans, A. (2000).
Experience-Dependent Changes in Cerebral Activation During REM Sleep, Nature Neuroscience, 3(8), 381-386.

Atkinson, A., Thomas, M., & Cleeremans, A. (2000). Consciousness: Mapping the theoretical landscape, Trends in Cognitive Sciences, 4(10), 372-382

Cleeremans, A., Destrebecqz, A., & Boyer, M. (1998). Implicit learning: News from the front. Trends in Cognitive Sciences, 2, 406-416.

Cleeremans, A. (1997). Principles for implicit learning. In D. Berry (Ed.), How implicit is implicit learning? , pp. 195-234. Oxford: OUP.

Cleeremans, A. (1993). Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing. Cambridge, MA: MIT Press.

Cleeremans, A. & McClelland, J.L. (1991). Learning the structure of event sequences. Journal of Experimental Psychology : General, 120, 235-253.

Cleeremans, A., Servan-Schreiber, D., & McClelland, J.L. (1989). Finite State Automata and Simple Recurrent Networks. Neural Computation, 1, 372-381.

 
How

... with funding from:

 
Members