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Inductive biases for deep learning of higher-level cognition
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …
Online peer feedback in higher education: A synthesis of the literature
Online peer feedback is an effective instructional strategy to enhance students' learning
processes and outcomes. However, the literature lacks a comprehensive understanding of …
processes and outcomes. However, the literature lacks a comprehensive understanding of …
[ספר][B] The evolution of the sensitive soul: Learning and the origins of consciousness
S Ginsburg, E Jablonka - 2019 - books.google.com
A new theory about the origins of consciousness that finds learning to be the driving force in
the evolutionary transition to basic consciousness. What marked the evolutionary transition …
the evolutionary transition to basic consciousness. What marked the evolutionary transition …
A review of gaze entropy as a measure of visual scanning efficiency
While the concept of entropy has been applied to gaze analysis, it is unclear what aspects of
visual scanning it measures. In this review, we first outline gaze control as a complex system …
visual scanning it measures. In this review, we first outline gaze control as a complex system …
Attention and prediction in human audition: a lesson from cognitive psychophysiology
Attention is a hypothetical mechanism in the service of perception that facilitates the
processing of relevant information and inhibits the processing of irrelevant information …
processing of relevant information and inhibits the processing of irrelevant information …
[HTML][HTML] What happens in your brain when you walk down the street? implications of architectural proportions, biophilia, and fractal geometry for urban science
This article reviews current research in visual urban perception. The temporal sequence of
the first few milliseconds of visual stimulus processing sheds light on the historically …
the first few milliseconds of visual stimulus processing sheds light on the historically …
Hybrid predictive coding: Inferring, fast and slow
Predictive coding is an influential model of cortical neural activity. It proposes that perceptual
beliefs are furnished by sequentially minimising “prediction errors”—the differences between …
beliefs are furnished by sequentially minimising “prediction errors”—the differences between …
Predictive waves in the autism-schizophrenia continuum: A novel biobehavioral model
The brain is a predictive machine. Converging data suggests a diametric predictive strategy
from autism spectrum disorders (ASD) to schizophrenic spectrum disorders (SSD). Whereas …
from autism spectrum disorders (ASD) to schizophrenic spectrum disorders (SSD). Whereas …
An ALE meta-analytic review of top-down and bottom-up processing of music in the brain
A remarkable feature of the human brain is its ability to integrate information from the
environment with internally generated content. The integration of top-down and bottom-up …
environment with internally generated content. The integration of top-down and bottom-up …
Learning to combine top-down and bottom-up signals in recurrent neural networks with attention over modules
Robust perception relies on both bottom-up and top-down signals. Bottom-up signals consist
of what's directly observed through sensation. Top-down signals consist of beliefs and …
of what's directly observed through sensation. Top-down signals consist of beliefs and …