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Topic: random forest classifier

ePoster
2 ePosters

In Cognition and Cognitive Psychology

ePoster · Computational Neuroscience

Feature-based letter perception – A neurocognitive plausible, transparent model approach

Janos Pauli, Benjamin Gagl · Bernstein Conference 2024

Applying the principles of predictive coding to reading has successfully increased our understanding of the neuro-cognitive processes underlying the extraction of meaning from text. Central is integrating prior knowledge with the sensory input to highlight the informative parts of a visual percept, thus increasing the efficiency of the representation and processing in the visual pathway. Current computer vision models (e.g., deep learning models) can easily predict letter identities; however, their inner workings remain opaque, making it extremely hard to infer how the model implements the t

ePoster · Cognitive Psychology

Seeing is believing? Influences of political views and emotions on authenticity perception of photojournalistic pictures

Laurent Beaupoil, Beata Pacula-Leśniak, Tomasz Kulczycki, Michał Kuniecki · FENS Forum 2024

The World Economic Forum in its latest report elects disinformation as the most significant short-term global risk to tackle in modern society. This report more specifically mentions that misinformation is capable of disrupting elections and exacerbating societal polarization. Since photojournalistic images are treated as a proof, as a self-contained piece of evidence that an event has happened (Garry et al., 2007), finding out which factors influence the perception of the authenticity of a picture is crucial. We collected authenticity perception, political views, and emotional response to im