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Linking perceptual learning with identical stimuli to imagery perceptual learning

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Tuning perception and decisions to temporal context

David Pascucci

Recent work suggests that serial dependence, where perceptual decisions are biased toward previous stimuli, arises from the prior that sensory input is temporally correlated. However, existing studies have mostly used random stimulus sequences that do not ...

Cambridge2023

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon

This work proposes a decentralized architecture, where individual agents aim at solving a classification problem while observing streaming features of different dimensions and arising from possibly different distributions. In the context of social learning ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Attractive and repulsive serial dependence: The role of task relevance, the passage of time, and the number of stimuli

David Pascucci, Gizay Ceylan

Visual decisions are attracted toward features of previous stimuli. This phenomenon, termed serial dependence, has been related to a mechanism that integrates present visual input with stimuli seen up to 10 to 15 s in the past. It is believed that this mec ...

2023

Bio-inspired Reflex System for Learning Visual Information for Resilient Robotic Manipulation

Josephine Anna Eleanor Hughes, Kai Christian Junge

Humans have an incredible sense of self-preservation that is both instilled, and also learned through experience. One system which contributes to this is the pain and reflex system which both minimizes damage through involuntary reflex ac- tions and also s ...

2022

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Paola Mejia Domenzain, Christian Giang, Mirko Marras

Learning journals are increasingly used in vocational education to foster self-regulated learning and reflective learning practices. However, for many apprentices, documenting working experiences is a difficult task. In this paper, we profile apprentices' ...

2022

, ,

This work proposes a new way of combining independently trained classifiers over space and time. Combination over space means that the outputs of spatially distributed classifiers are aggregated. Combination over time means that the classifiers respond to ...

IEEE2021

Serial dependence across features and objects

Michael Herzog, David Pascucci, Gizay Ceylan

Aims Visual perception is systematically biased toward stimuli seen in the recent past, a phenomenon known as serial dependence (SD). It is widely believed that SD reflects a continuity field in vision to promote visual stability over time. A main question ...

2020

, , ,

Contrary to studies of audition and cognition, we previously did not find evidence for a general common factor for vision but for many very specific ones. For example, we found strong correlations between 19 versions of the Ebbinghaus illusion, which diffe ...

2018

Perceptual learning is specific beyond vision and decision making

Michael Herzog, Aline Françoise Cretenoud, Lukasz Grzeczkowski, Fred Mast

Perceptual learning is usually assumed to occur within sensory areas or when sensory evidence is mapped onto decisions. Subsequent procedural and motor processes, involved in most perceptual learning experiments, are thought to play no role in the learning ...

Association for Research in Vision and Ophthalmology2017

What is new in perceptual learning?

Michael Herzog, Aline Françoise Cretenoud, Lukasz Grzeczkowski

What is new in perceptual learning? In the early days of research, specificity was the hallmark of perceptual learning; that is, improvements following training were limited to the trained stimulus features. For example, training with a stimulus improves p ...

Association for Research in Vision and Ophthalmology (ARVO)2017