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David Pascucci

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Publications associées (38)

Feature distribution learning by passive exposure

Gizay Ceylan, David Pascucci

Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...

2022

The effects of attentional suppression on sequential perceptual decisions

David Pascucci

SAGE PUBLICATIONS LTD2022

Selective attention involves a feature-specific sequential release from inhibitory gating

Gijs Plomp, David Pascucci

Selective attention is a fundamental cognitive mechanism that allows our brain to preferentially process relevant sensory information, while filtering out distracting information. Attention is thought to flexibly gate the communication of irrelevant inform ...

2022

Spatial tiling for shape segmentation

David Pascucci

SAGE PUBLICATIONS LTD2022

Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

David Pascucci

We describe the multimodal neuroimaging dataset VEPCON (OpenNeuro Dataset ds003505). It includes raw data and derivatives of high-density EEG, structural MRI, diffusion weighted images (DWI) and single-trial behavior (accuracy, reaction time). Visual evoke ...

2022

Serial dependence by mental imagery

Gizay Ceylan, David Pascucci

In serial dependence (SD), perceptual decisions deviate toward the recent past: the orientation of a visual stimulus is reported as more similar to the orientation of previous stimuli than it really is. At present, this phenomenon has always been reported ...

SAGE PUBLICATIONS LTD2022

Serial dependence does not originate from low-level visual processing

Michael Herzog, Gizay Ceylan, David Pascucci

Perception depends not only on the current sensory input but also on the preceding history of stimuli. In serial dependence (SD), for example, the orientation of a Gabor patch is mistakenly reported as more similar to previous trials than it actually is. T ...

2021

Serial dependence under memory load

Michael Herzog, Ayberk Ozkirli, Gizay Ceylan, David Pascucci, Yury Markov, Natalia Tiurina

Perceptual decisions are biased towards previous stimuli, a phenomenon known as serial dependence. However, the mechanisms of this bias are unknown. For example, it is debated whether serial dependence reflects a perceptual bias or interference of prior st ...

SAGE Publishing2021

EEG rhythms in long-lasting spatio-temporal feature integration

Michael Herzog, David Pascucci, Maëlan Quentin Menétrey

Pre-stimulus brain activity is thought to modulate visual perception. However, the nature of this modulation remains debated. In particular, the use of paradigms with very brief and weak stimuli complicates a univocal understanding. Here we focus on phenom ...

SAGE Publishing2021

The time course of serial dependence: an interplay between perceptual decisions and task relevant representations

Michael Herzog, Gizay Ceylan, David Pascucci

In serial dependence (SD), features of a present stimulus are judged as similar to previously presented ones. This bias is often explained by a continuity field (CF) in perception, combining similar stimuli in an extended region of space (∼ 15°) and time ( ...

SAGE Publishing2021

The connectome spectrum as a canonical basis for a sparse representation of fast brain activity

Patric Hagmann, Gijs Plomp, David Pascucci

The functional organization of neural processes is constrained by the brain's intrinsic structural connectivity, i.e., the connectome. Here, we explore how structural connectivity can improve the representation of brain activity signals and their dynamics. ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Spatial anisotropies in orientation summary statistics

David Pascucci

SAGE PUBLICATIONS LTD2021

Predictive brain: Addressing the level of representation by reviewing perceptual hysteresis

David Pascucci

In recent years, the idea that the prediction of sensory input is one of the major computational goals of the nervous system led to the development of several large-scale theories of brain functioning, such as different versions of the Bayesian approach to ...

ELSEVIER MASSON, CORP OFF2021

The anisotropic field of ensemble coding

Gijs Plomp, David Pascucci

Human observers can accurately estimate statistical summaries from an ensemble of multiple stimuli, including the average size, hue, and direction of motion. The efficiency and speed with which statistical summaries are extracted suggest an automatic mecha ...

Nature Research2021

Serial dependence and representational momentum in single-trial perceptual decisions

David Pascucci

The human brain has evolved to predict and anticipate environmental events from their temporal dynamics. Predictions can bias perception toward the recent past, particularly when the environment contains no foreseeable changes, but can also push perception ...

Nature Research2021

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Patric Hagmann, Sébastien Tourbier, Gijs Plomp, Michaël Defferrard, David Pascucci

We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...

2020

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

Gijs Plomp, David Pascucci

Brain networks are complex dynamical systems in which directed interactions between different areas evolve at the sub-second scale of sensory, cognitive and motor processes. Due to the highly non-stationary nature of neural signals and their unknown noise ...

2020

Nested oscillations and brain connectivity during sequential stages of feature-based attention

Gijs Plomp, David Pascucci

Brain mechanisms of visual selective attention involve both local and network-level activity changes at specific oscillatory rhythms, but their interplay remains poorly explored. Here, we investigate anticipatory and reactive effects of feature-based atten ...

2020

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