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[HTML][HTML] Emergent human-like covert attention in feedforward convolutional neural networks
Covert attention allows the selection of locations or features of the visual scene without
moving the eyes. Cues and contexts predictive of a target's location orient covert attention …
moving the eyes. Cues and contexts predictive of a target's location orient covert attention …
Efficient coding theory of dynamic attentional modulation
Activity of sensory neurons is driven not only by external stimuli but also by feedback signals
from higher brain areas. Attention is one particularly important internal signal whose …
from higher brain areas. Attention is one particularly important internal signal whose …
The geometry of efficient codes: how rate-distortion trade-offs distort the latent representations of generative models
Living organisms rely on internal models of the world to act adaptively. These models cannot
encode every detail and hence need to compress information. From a cognitive standpoint …
encode every detail and hence need to compress information. From a cognitive standpoint …
Modeling Adaptability Mechanisms of Speech Perception
N Jurov - 2024 - search.proquest.com
Speech is a complex, redundant and variable signal happening in a noisy and ever
changing world. How do listeners navigate these complex auditory scenes and continuously …
changing world. How do listeners navigate these complex auditory scenes and continuously …
[HTML][HTML] Exploring the bounded rationality in human decision anomalies through an assemblable computational framework
Some seemingly irrational decision behaviors (anomalies), once seen as flaws in human
cognition, have recently received explanations from a rational perspective. The basic idea is …
cognition, have recently received explanations from a rational perspective. The basic idea is …
A neural architecture for selective attention to speech features
Speech perception is complex and demands constant adaptations to the speaker and the
environment (ie noisy speech, accent, etc.). To adapt, the listener relies on one speech …
environment (ie noisy speech, accent, etc.). To adapt, the listener relies on one speech …
Implications of capacity-limited, generative models for human vision
Although discriminative deep neural networks are currently dominant in cognitive modeling,
we suggest that capacity-limited, generative models are a promising avenue for future work …
we suggest that capacity-limited, generative models are a promising avenue for future work …
Linking cognitive and neural models of audiovisual processing to explore speech perception in autism
Autistic and neurotypical children do not handle audiovisual speech in the same manner.
Current evidence suggests that this difference occurs at the level of cue combination. Here …
Current evidence suggests that this difference occurs at the level of cue combination. Here …
Coding strategies in memory for 3d objects: The influence of task uncertainty
Memory is limited in capacity, which means that we must choose what information to
prioritize for storage. Part of knowing what to prioritize is predicting future needs. For …
prioritize for storage. Part of knowing what to prioritize is predicting future needs. For …
Learning generalizable representations through compression
Z Fang - 2022 - search.proquest.com
The ability of humans and other animals to generalize from their past experiences to novel
situations is at the heart of intelligent behavior. Generalization is more likely to occur …
situations is at the heart of intelligent behavior. Generalization is more likely to occur …