Reconciling shared versus context-specific information in a neural network model of latent causes
It has been proposed that, when processing a stream of events, humans divide their
experiences in terms of inferred latent causes (LCs) to support context-dependent learning …
experiences in terms of inferred latent causes (LCs) to support context-dependent learning …
Modeling human activity comprehension at human scale: prediction, segmentation, and categorization
Humans form sequences of event models—representations of the current situation—to
predict how activity will unfold. Multiple mechanisms have been proposed for how the …
predict how activity will unfold. Multiple mechanisms have been proposed for how the …
How does it end? Endpoints of boundaries lead to completion in macro-events
A Candan Şimşek, T Aydın, M Huff - Memory & Cognition, 2024 - Springer
While watching someone kicking a ball, missing moments of ball contact can be incorrectly
identified as seen if the event is continued in a causal manner (ie, the ball flying off). Does …
identified as seen if the event is continued in a causal manner (ie, the ball flying off). Does …
[PDF][PDF] Toward a more neurally plausible neural network model of latent cause inference
Humans spontaneously perceive a continuous stream of experience as discrete events. It
has been hypothesized that this ability is supported by latent cause inference (LCI). We …
has been hypothesized that this ability is supported by latent cause inference (LCI). We …
Predictive event segmentation and representation with neural networks: A self-supervised model assessed by psychological experiments
People segment complex, ever-changing, and continuous experience into basic, stable, and
discrete spatio-temporal experience units, called events. The literature on event …
discrete spatio-temporal experience units, called events. The literature on event …
Uncertainty-driven updating enables human-like segmentation and categorization of naturalistic activity
Humans form sequences of event models—representations of the immediate situation—to
predict how activity will unfold. Multiple mechanisms have been proposed for how the …
predict how activity will unfold. Multiple mechanisms have been proposed for how the …
Using Interactive Neural-Symbolic Models to Test Hypotheses of Human Event Cognition
Q Lu - 2023 - search.proquest.com
The last decade has seen a surge of naturalistic experiments in cognitive neuroscience,
which require highly interactive processing across multiple cognitive functions. This thesis …
which require highly interactive processing across multiple cognitive functions. This thesis …
[PDF][PDF] Predictive Looking and Predictive Looking Errors in Everyday Activities
S Su - 2023 - openscholarship.wustl.edu
I would like to extend my deepest gratitude to my advisor Dr. Jeff Zacks for his invaluable
guidance, patience, and insightful feedback throughout my research journey. His expertise …
guidance, patience, and insightful feedback throughout my research journey. His expertise …
Procesamiento de eventos: estudio comparativo en adultos mayores con y sin enfermedad de Alzheimer
JC Beltran Rojas - repositorio.unal.edu.co
Esta tesis explora la relación entre la atención visual y el lenguaje, centrándose en el
procesamiento en línea de eventos estáticos y dinámicos en adultos mayores, con y sin …
procesamiento en línea de eventos estáticos y dinámicos en adultos mayores, con y sin …
[PDF][PDF] Modeling human activity comprehension at human scale: Prediction, segmentation, and categorization
Humans form sequences of event models—representations of the current situation—to
predict how activity will unfold. Multiple mechanisms have been proposed for how the …
predict how activity will unfold. Multiple mechanisms have been proposed for how the …