The Department of Cognitive Science
cordially invites you
to the public defense of the PhD thesis
Active learning as a link between environmental statistics and the development of internal
representations
by
József Arató
PRIMARY SUPERVISOR: József Fiser
SECONDARY SUPERVISOR: Gergely Csibra
External Advisor: Constantin Rothkopf
Members of the Dissertation Committee:
Ernő Téglás, Chair, CEU
Christopher Summerfield, external examiner, University of Oxford
Richard Aslin, external examiner, Haskins Laboratories
abstract | Although it is known that facing a dynamically changing sensory stream,
people's perceptual decisions could be influenced not only by individual past stimuli,
but also by extracted summary statistics of the stimuli, the effects of these long-term
influences are underexplored. In the present thesis, I explored the impact of past
stimulus statistics on two distinct types of visual decisions. In the first line of
research, in Chapters 2-3, I focused on visual explorative decisions via eye-movements and
investigated whether hidden statistical structures of complex scenes could influence
visual exploration. I found that spatial regularities of visual stimuli influenced
explorative eye-movement patterns, that this effect emerged over time, and it could
predict the success in learning the underlying structure of the input. These findings
suggest a strong relationship between visual exploration and learning, during which the
two processes continuously influence each other. I also showed how this relationship
depended on the explicit vs. implicit nature of the task. In the second line of research,
in Chapters 4-5, I explored long-term statistical influences in perceptual decision
making. To this end, I tested the influence of past probabilities of appearance on
discrimination judgments about ambiguous stimuli. I found that statistics of past stimulus
strongly influenced perceptual decisions independently of the well-documented short-term
sequential effects. This past influence depended on the change-dynamics between long-term
and recent stimulus probabilities, sometimes resulting in locally irrational biases. Taken
together, the results in these two research domains are consistent with a framework, in
which past stimulus statistics are perpetually and automatically built into complex
internal representations, which in turn, depending on the task and type of regularity, can
dramatically influence visual decisions.
The defense will take place at October Hall,
V. Budapest, Október 6 street 7, ground floor
on Wednesday, January 9, at 10 am
organized by the Department of Cognitive Science
Györgyné Finta (Réka)
Department Coordinator
~~~~~~~~~~~~~~~~~~~~~~~~
Central European University
Department of Cognitive Science
H-1051 Budapest
Oktober 6 utca 7.
tel: (36-1) 887-5138
fax: (36-1) 887-5010
http://www.ceu.edu
http://cognitivescience.ceu.edu
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