15 papers · ranked by Valyu relevance
Pierre Yger, KD Harris
Learning is often considered to be governed by reinforcement, causing animals to increase the probability of performing rewarded behaviours, and decrease the probability of behaviours leading to harmful outcomes. However, not all learning is governed by reward. Mere exposure to a novel environment or set of sensory…
Alimed Celecia, Karla Figueiredo, Carlos Rodriguez, Marley Vellasco + 6 more
'Edwin Maldonado' 'Marco Aurélio Silva' 'Anderson Rodrigues' 'Renata Nascimento' 'Carla Ourofino' 'Andrea Cataldo'] Seismic interpretation is a fundamental process for hydrocarbon exploration. This activity comprises identifying geological information through the processing and analysis of seismic data represented by…
Luis Sa-Couto, Andreas Wichert
Interest in unsupervised learning architectures has been rising. Besides being biologically unnatural, it is costly to depend on large labeled data sets to get a well-performing classification system. Therefore, both the deep learning community and the more biologically-inspired models community have focused on…
Talha Iqbal, Adnan Elahi, William Wijns, Atif Shahzad
Over the past decade, there has been a significant development in wearable health technologies for diagnosis and monitoring, including application to stress monitoring. Most of the wearable stress monitoring systems are built on a supervised learning classification algorithm. These systems rely on the collection of…
Levente L. Orbán, Sylvain Chartier, Wulfila Gronenberg
Untrained, “flower-naïve” bumblebees display behavioural preferences when presented with visual properties such as colour, symmetry, spatial frequency and others. Two unsupervised neural networks were implemented to understand the extent to which these models capture elements of bumblebees’ unlearned visual preferences…
Zhiyu Qiu, Yuxiao Hua, Tianqi Chen, Yuki Todo + 5 more
'Delai Qiu' 'Chunping Chu' 'Chaoran Cui' 'Xiaohui Han'] Motion perception is a fundamental function of biological visual systems, enabling organisms to navigate dynamic environments, detect threats, and track moving objects. Inspired by the mechanisms of biological motion processing, we propose an Unsupervised…
Priyanka Ghosh, Siddharth Talwar, Arpan Banerjee
Elicited upon violation of regularity in stimulus presentation, mismatch negativity (MMN) reflects the brain's ability to perform automatic comparisons between consecutive stimuli and provides an electrophysiological index of sensory error detection whereas P300 is associated with cognitive processes such as updating…
Jianmin Shen, Wei Li, Shengfeng Deng, Dian Xu + 2 more
'Feiyi Liu'] The pair-contact process with diffusion (PCPD), a generalized model of the ordinary pair-contact process (PCP) without diffusion, exhibits a continuous absorbing phase transition. Unlike the PCP, whose nature of phase transition is clearly classified into the directed percolation (DP) universality class…
Ya-nan Zhang, Ke-rui XIA, Chang-yi LI, Ben-li WEI + 1 more
Breast cancer is one of the most common malignancies. Pathological image processing of breast has become an important means for early diagnosis of breast cancer. Using medical image processing to assist doctors to detect potential breast cancer as early as possible has always been a hot topic in the field of medical…
Markus Kiefer
processes: A gating framework Authors: ['Markus Kiefer'] In classical theories of automaticity, automatic processes are usually thought to occur autonomously and independently of higher level top-down factors (e.g., [70]). However, already Neumann ([67]) pointed out that the cognitive system has to be configured in a…
Maria M. Del Viva, Giovanni Punzi, Daniele Benedetti, William W. Lytton
'William W. Lytton'] The visual system needs to extract the most important elements of the external world from a large flux of information in a short time for survival purposes. It is widely believed that in performing this task, it operates a strong data reduction at an early stage, by creating a compact summary of…
Shen Tu, Jerwen Jou, Guang Zhao, Jun Jiang
The study of unconscious information processing mechanism is very important to the development of the science of human consciousness. By studying unconscious processing and comparing it with consciousness processing, we can better understand the ways unconsciousness works and the origin of conscious processing. The…
Taseef Hasan Farook, Saif Ahmed, Jamal Giri, Farah Rashid + 2 more
'Toby Hughes' 'James Dudley'] Purpose This study assessed the impact of intraoral scanner type, operator, and data augmentation on the dimensional accuracy of in vitro dental cast digital scans. It also evaluated the validation accuracy of an unsupervised machine-learning model trained with these scans. Methods…
Markus Kiefer, Sarah C. Adams, Monika Zovko
influences on masked priming Authors: ['Markus Kiefer' 'Sarah C. Adams' 'Monika Zovko'] Classical theories of automaticity assume that automatic processes elicited by unconscious stimuli are autonomous and independent of higher-level cognitive influences. In contrast to these classical conceptions, we argue that…
Luís M. Augusto
The concept of unconscious knowledge is fundamental for an understanding of human thought processes and mentation in general; however, the psychological community at large is not familiar with it. This paper offers a survey of the main psychological research currently being carried out into cognitive processes, and…