Guided Search 6.0: An updated model of visual search

JM Wolfe - Psychonomic bulletin & review, 2021 - Springer
Abstract This paper describes Guided Search 6.0 (GS6), a revised model of visual search.
When we encounter a scene, we can see something everywhere. However, we cannot …

Salience

P Bordalo, N Gennaioli, A Shleifer - Annual Review of …, 2022 - annualreviews.org
We review the fast-growing work on salience and economic behavior. Psychological
research shows that salient stimuli attract human attention bottom up due to their high …

Visual attention network

MH Guo, CZ Lu, ZN Liu, MM Cheng, SM Hu - Computational Visual Media, 2023 - Springer
While originally designed for natural language processing tasks, the self-attention
mechanism has recently taken various computer vision areas by storm. However, the 2D …

A spatial-temporal attention-based method and a new dataset for remote sensing image change detection

H Chen, Z Shi - Remote Sensing, 2020 - mdpi.com
Remote sensing image change detection (CD) is done to identify desired significant
changes between bitemporal images. Given two co-registered images taken at different …

A CNN-BiLSTM-AM method for stock price prediction

W Lu, J Li, J Wang, L Qin - Neural Computing and Applications, 2021 - Springer
In recent years, with the rapid development of the economy, more and more people begin to
invest into the stock market. Accurately predicting the change of stock price can reduce the …

[HTML][HTML] Conscious processing and the global neuronal workspace hypothesis

GA Mashour, P Roelfsema, JP Changeux, S Dehaene - Neuron, 2020 - cell.com
We review the central tenets and neuroanatomical basis of the global neuronal workspace
(GNW) hypothesis, which attempts to account for the main scientific observations regarding …

Applications of deep learning in stock market prediction: recent progress

W Jiang - Expert Systems with Applications, 2021 - Elsevier
Stock market prediction has been a classical yet challenging problem, with the attention from
both economists and computer scientists. With the purpose of building an effective prediction …

The best game in town: The reemergence of the language-of-thought hypothesis across the cognitive sciences

J Quilty-Dunn, N Porot, E Mandelbaum - Behavioral and Brain …, 2023 - cambridge.org
Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

Deep problems with neural network models of human vision

JS Bowers, G Malhotra, M Dujmović… - Behavioral and Brain …, 2023 - cambridge.org
Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

On the binding problem in artificial neural networks

K Greff, S Van Steenkiste, J Schmidhuber - arXiv preprint arXiv …, 2020 - arxiv.org
Contemporary neural networks still fall short of human-level generalization, which extends
far beyond our direct experiences. In this paper, we argue that the underlying cause for this …