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We tracked the eye movements of seven young and seven older adults performing a conjunctive visual search task similar to that performed by two highly trained monkeys in an original influential study of Motter and Belky (1998a, 1998b). We…

Neurons and Cognition · Quantitative Biology 2020-04-08 Lorenzo Resca , Pamela M. Greenwood , Terrance D. Keech

In this work we investigate how children ages 5-12 perceive, understand, and use generative AI models such as a text-based LLMs ChatGPT and a visual-based model DALL-E. Generative AI is newly being used widely since chatGPT. Children are…

Human-Computer Interaction · Computer Science 2024-05-24 Eliza Kosoy , Soojin Jeong , Anoop Sinha , Alison Gopnik , Tanya Kraljic

Humans and animals excel in combining information from multiple sensory modalities, controlling their complex bodies, adapting to growth, failures, or using tools. These capabilities are also highly desirable in robots. They are displayed…

Robotics · Computer Science 2022-11-08 Matej Hoffmann

The ability to understand and manipulate numbers and quantities emerges during childhood, but the mechanism through which humans acquire and develop this ability is still poorly understood. We explore this question through a model, assuming…

Neurons and Cognition · Quantitative Biology 2024-03-26 Neehar Kondapaneni , Pietro Perona

Newborn animals have advanced perceptual skills at birth, but the nature of this initial knowledge is unknown. Is initial knowledge flexible, continuously adapting to the statistics of experience? Or can initial knowledge be rigid and…

Neurons and Cognition · Quantitative Biology 2024-02-23 Justin N. Wood , Tomer D. Ullman , Brian W. Wood , Elizabeth S. Spelke , Samantha M. W. Wood

Children are one of the groups most influenced by COVID-19-related social distancing, and a lack of contact with peers can limit their opportunities to develop social and collaborative skills. However, remote socialization and collaboration…

Human-Computer Interaction · Computer Science 2023-01-30 Yudan Wu , Shanhe You , Zixuan Guo , Xiangyang Li , Guyue Zhou , Jiangtao Gong

Myelination plays an important role in the neurological development of infant brain and MRI can visualize the myelination extension as T1 high and T2 low signal intensity at white matter. We tried to construct a convolutional neural network…

Making inferences from partial information constitutes a critical aspect of cognition. During visual perception, pattern completion enables recognition of poorly visible or occluded objects. We combined psychophysics, physiology and…

Neurons and Cognition · Quantitative Biology 2018-08-15 Hanlin Tang , Martin Schrimpf , Bill Lotter , Charlotte Moerman , Ana Paredes , Josue Ortega Caro , Walter Hardesty , David Cox , Gabriel Kreiman

Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses has limited clinical application…

Research in developmental psychology consistently shows that children explore the world thoroughly and efficiently and that this exploration allows them to learn. In turn, this early learning supports more robust generalization and…

Artificial Intelligence · Computer Science 2020-07-02 Eliza Kosoy , Jasmine Collins , David M. Chan , Sandy Huang , Deepak Pathak , Pulkit Agrawal , John Canny , Alison Gopnik , Jessica B. Hamrick

Studies have shown that children can be exposed to smart devices at a very early age. This has important implications on research in children-computer interaction, children online safety and early education. Many systems have been built…

Human-Computer Interaction · Computer Science 2018-08-07 Toan Nguyen , Aditi Roy , Nasir Memon

Infants' ability to recognize and categorize objects develops gradually. The second year of life is marked by both the emergence of more semantic visual representations and a better understanding of word meaning. This suggests that language…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Timothy Schaumlöffel , Arthur Aubret , Gemma Roig , Jochen Triesch

Object concepts play a foundational role in human visual cognition, enabling perception, memory, and interaction in the physical world. Inspired by findings in developmental neuroscience - where infants are shown to acquire object…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Haoqian Liang , Xiaohui Wang , Zhichao Li , Ya Yang , Naiyan Wang

Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important applications in domains such as health rehabilitation and…

Computer Vision and Pattern Recognition · Computer Science 2019-04-11 Zhenqiang Li , Yifei Huang , Minjie Cai , Yoichi Sato

Meta Quest Store: https://www.meta.com/experiences/stanford-mri-simulator/8205539289482347/ Magnetic Resonance Imaging (MRI) can be a stressful experience for pediatric patients due to the loud acoustic environment, enclosed scanner bore,…

Human-Computer Interaction · Computer Science 2025-08-27 Yue Yang , Mengyao Guo , Yuxuan Wu , Wally Niu , Emmanuel A Corona , Bruce Daniel , Christoph Leuze , Fred Baik

Humans and animals recognize objects irrespective of the beholder's point of view, which may drastically change their appearances. Artificial pattern recognizers also strive to achieve this, e.g., through translational invariance in…

Computer Vision and Pattern Recognition · Computer Science 2023-11-16 Lukas Tuggener , Thilo Stadelmann , Jürgen Schmidhuber

Interactions between the brain and body are of fundamental importance for human behavior and health. Functional magnetic resonance imaging (fMRI) captures whole-brain activity noninvasively, and modeling how fMRI signals interact with…

The human brain undergoes rapid development during the third trimester of pregnancy. In this work, we model the neonatal development of the infant brain in this age range. As a basis, we use MR images of preterm- and term-birth neonates…

Image and Video Processing · Electrical Eng. & Systems 2024-08-19 Florentin Bieder , Paul Friedrich , Hélène Corbaz , Alicia Durrer , Julia Wolleb , Philippe C. Cattin

Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses have limited its clinical…

Imitation learning with visual observations is notoriously inefficient when addressed with end-to-end behavioural cloning methods. In this paper, we explore an alternative paradigm which decomposes reasoning into three phases. First, a…

Robotics · Computer Science 2023-12-20 Norman Di Palo , Edward Johns