Results 31 to 40 of about 1,098,703 (325)

Feedforward computational model for pattern recognition with spiking neurons [PDF]

, 2018
Humans and primates are remarkably good at pattern recognition and outperform the best machine vision systems with respect to almost any measure. Building a computational model that emulates the architecture and information processing in biological ...
Belatreche, Ammar, Li, Jianping, Qu, Hong, Xie, Xiurui, Zeng, Zhi, Zhang, Malu   +5 more
core   +1 more source

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing [PDF]

, 2020
The aggregate-label learning paradigm tackles the long-standing temporary credit assignment (TCA) problem in neuroscience and machine learning, enabling spiking neural networks to learn multimodal sensory clues with delayed feedback signals. However, the
Belatreche, Ammar, Chen, Yi, Li, Haizhou, Luo, Xiaoling, Pan, Zihan, Qu, Hong, Wu, Jibin, Zhang, Malu   +7 more
core   +2 more sources

Temporal Visual Patterns of Construction Hazard Recognition Strategies [PDF]

International Journal of Environmental Research and Public Health, 2021
Visual cognitive strategies in construction hazard recognition (CHR) signifies prominent value for the development of CHR computer vision techniques and safety training. Nonetheless, most studies are based on either sparse fixations or cross-sectional (accumulative) statistics, which lack consideration of temporality and yielding limited visual pattern
Rui Cheng, Jiaming Wang, Pin-Chao Liao
openaire   +2 more sources

Visual imagery of faces and cars in face-selective visual areas. [PDF]

PLoS ONE, 2018
Neuroimaging provides a unique tool to investigate otherwise difficult-to-access mental processes like visual imagery. Prior studies support the idea that visual imagery is a top-down reinstatement of visual perception, and it is likely that this extends
Mackenzie A Sunday, Rankin W McGugin, Benjamin J Tamber-Rosenau, Isabel Gauthier   +3 more
doaj   +1 more source

Mid-level Deep Pattern Mining [PDF]

, 2015
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective of pattern mining while relying on the recently popularized Convolutional ...
Hengel, Anton van den, Li, Yao, Liu, Lingqiao, Shen, Chunhua   +3 more
core   +1 more source

The pattern glare and visual memory are disrupted in patients with major depressive disorder

BMC Psychiatry, 2022
Background Visual memory impairment is one of the most commonly complained symptoms in patients with major depressive disorder (MDD). Pattern glare is also a distorted visual phenomenon that puzzles patients with MDD.
Min Wang, Xiongwei Qi, Xiao Yang, Huanhuan Fan, Yikai Dou, Wanjun Guo, Qiang Wang, Eric Chen, Tao Li, Xiaohong Ma   +9 more
doaj   +1 more source

Figura ambígua e dislexia do desenvolvimento Ambiguous figure and developmental dyslexia

Revista Brasileira de Oftalmologia, 2008
OBJETIVO: Avaliar o processamento visual de figuras ambíguas em indivíduos disléxicos e compará-lo a um grupo controle leitor normal. MÉTODOS: Survey comparativo onde foram selecionados aleatoriamente 39 escolares cursando entre a primeira e a quarta ...
Lílian Braga Alonso, Fabiana Maria Gomes Lamas, Paulo Ricardo Souza Sampaio, José Ricardo Lima Rehder   +3 more
doaj   +1 more source

Electric Source Localization Adds Evidence for Task-Specific CNVs

Behavioural Neurology, 1998
This study was an attempt to replicate recent magnetoencephalographic (MEG) findings on human task-specific CNV sources (Basile et al., Electroencephalography and Clinical Neurophysiology 90, 1994, 157–165) by means of a spatio-temporal electric source ...
Ina M. Tarkka, Luis F. H. Basile
doaj   +1 more source

Context effects in visual pattern recognition by pigeons [PDF]

Perception & Psychophysics, 1994
In the experiments described in this paper we examined the effects of contextual stimuli on pigeons' recognition of visual patterns. Experiment 1 showed a context-superiority effect. Specifically, two target forms that were identical except for location in the visual field were not discriminated when presented alone, but the compounds formed when each ...
Eric G. Heinemann, Francisco J. Donis, Sheila Chase   +2 more
openaire   +3 more sources

Visual-Semantic Transformer for Scene Text Recognition [PDF]

arXiv, 2021
Modeling semantic information is helpful for scene text recognition. In this work, we propose to model semantic and visual information jointly with a Visual-Semantic Transformer (VST). The VST first explicitly extracts primary semantic information from visual feature maps with a transformer module and a primary visual-semantic alignment module.
arxiv