TEX2022: Bringing together Predictive Processes and Statistical Learning

Session

Poster Session 3 (coffee break)

P3

Jul 21, 2022, 11:00 AM

Aula Magna (SISSA - International School for Advanced Studies)

32. Does a surprising observation facilitate perception of all subsequent sensory input?

Emma Ward (Birkbeck, University of London)

7/21/22, 11:00 AM

Poster

Bayesian theories posit that perception is the result of combining expectations with the sensory input, and that expectations are updated when that sensory input is surprising – i.e., deviates from the expectation. To be adaptive, expectations should only be updated when the surprising observation reveals that the world is actually different from our models, but it is not yet clear how this...

39. Perception of ambiguous visual stimuli is driven by cross-modal associative learning under uncertainty

Bertalan Polner

7/21/22, 11:00 AM

Poster

Perception can be understood as inference combining sensory information with prior expectations. Here, we manipulate prior expectations by associative learning and investigate the effect of cue modality. In our experiment, participants (N=29) indicated the perceived direction of illusory motion of dot pairs (640 trials). A visuo-acoustic cue preceded the target stimulus and probabilistically...

19. Statistical learning of likely distractor locations in visual search is driven by the local distractor frequency

Dr Fredrik Allenmark (Ludwig Maximilian University of Munich)

7/21/22, 11:00 AM

Poster

Salient but task-irrelevant distractors interfere less with visual search when they appear in a display region where distractors have appeared more frequently in the past. In this study we tested two different theories of such statistical distractor-location learning. It could reflect the (re-)distribution of a global, limited attentional ‘inhibition resource’. Accordingly, changing the...

37. The babe with the predictive power: work in progress examining the role of prediction in early word encoding

Dr Judit Fazekas (School of Psychological Sciences, University of Manchester)

7/21/22, 11:00 AM

Poster

Error-based theories of language acquisition posit that predictions are a key part of language processing throughout the lifespan. They suggest that adults and children are constantly anticipating upcoming input and use discrepancies to update their linguistic knowledge from the very earliest stages of development. However, linguistic predictions are challenging to target experimentally, and...