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Reconstructing human dynamic vision from brain activity is a challenging task with great scientific significance. Although prior video reconstruction methods have made substantial progress, they still suffer from several limitations,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-20 Yizhuo Lu , Changde Du , Chong Wang , Xuanliu Zhu , Liuyun Jiang , Xujin Li , Huiguang He

When reading a story, humans can quickly understand new fictional characters with a few observations, mainly by drawing analogies to fictional and real people they already know. This reflects the few-shot and meta-learning essence of…

Computation and Language · Computer Science 2024-02-06 Mo Yu , Qiujing Wang , Shunchi Zhang , Yisi Sang , Kangsheng Pu , Zekai Wei , Han Wang , Liyan Xu , Jing Li , Yue Yu , Jie Zhou

Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language models (LLMs), there is a heated debate about whether they…

Computation and Language · Computer Science 2024-10-29 Xiaomeng Ma , Lingyu Gao , Qihui Xu

In the last decade, network science has shed new light both on the structural (anatomical) and on the functional (correlations in the activity) connectivity among the different areas of the human brain. The analysis of brain networks has…

Physics and Society · Physics 2017-04-18 Federico Battiston , Vincenzo Nicosia , Mario Chavez , Vito Latora

We report measurements of the brain activity of subjects engaged in behavioral exchanges with their environments. We observe brain states which are characterized by coordinated oscillation of populations of neurons that are changing rapidly…

Neurons and Cognition · Quantitative Biology 2007-05-23 Walter J. Freeman , Giuseppe Vitiello

The representations learned by deep neural networks are difficult to interpret in part due to their large parameter space and the complexities introduced by their multi-layer structure. We introduce a method for computing persistent…

Machine Learning · Computer Science 2019-05-31 Thomas Gebhart , Paul Schrater , Alan Hylton

Recent work on dialogue-based collaborative plan acquisition (CPA) has suggested that Theory of Mind (ToM) modelling can improve missing knowledge prediction in settings with asymmetric skill-sets and knowledge. Although ToM was claimed to…

Artificial Intelligence · Computer Science 2024-05-30 Matteo Bortoletto , Constantin Ruhdorfer , Adnen Abdessaied , Lei Shi , Andreas Bulling

Job interview simulation with a virtual agents aims at improving people's social skills and supporting professional inclusion. In such simulators, the virtual agent must be capable of representing and reasoning about the user's mental state…

Artificial Intelligence · Computer Science 2014-02-21 Marwen Belkaid , Nicolas Sabouret

Human intelligence and human consciousness emerge gradually during the process of cognitive development. Understanding this development is an essential aspect of understanding the human mind and may facilitate the construction of artificial…

Artificial Intelligence · Computer Science 2023-12-08 Dominik Mattern , Pierre Schumacher , Francisco M. López , Marcel C. Raabe , Markus R. Ernst , Arthur Aubret , Jochen Triesch

Understanding of the phenomena of vision and thought require clarification of the general mechanism of perception. So far, philosophical inquiries and scientific investigations have not been able to address clearly the mysteries surrounding…

Neurons and Cognition · Quantitative Biology 2019-09-16 Jahan N. Schad

Social and affective relations may shape empathy to others' affective states. Previous studies also revealed that people tend to form very different mental representations of stimuli on the basis of their physical distance. In this regard,…

Neurons and Cognition · Quantitative Biology 2018-08-07 Arianna Schiano Lomoriello , Federica Meconi , Irene Rinaldi , Paola Sessa

Topographic maps are a brain structure connecting pre-synpatic and post-synaptic brain regions. Topographic development is dependent on Hebbian-based plasticity mechanisms working in conjunction with spontaneous patterns of neural activity…

Neurons and Cognition · Quantitative Biology 2025-01-15 Nicholas Gale , Jennifer Rodger , Michael Small , Stephen Eglen

In this work we present a novel task of understanding unintentional human activities in videos. We formalize this problem as a reasoning task under zero-shot scenario, where given a video of an unintentional activity we want to know why it…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Shresth Grover , Vibhav Vineet , Yogesh S Rawat

Emotions play a crucial role in human life. The research community has proposed many theories on emotions without reaching much consensus. The situation is similar for emotions in cognitive architectures and autonomous agents. I propose in…

Neurons and Cognition · Quantitative Biology 2025-09-23 Yue Jin

Tremendous neuroscientific progress has recently been made by mapping brain connectivity, complementing extensive knowledge of task-evoked brain activation patterns. However, despite evidence that they are related, these connectivity and…

Neurons and Cognition · Quantitative Biology 2024-02-06 Michael W. Cole

Integrating computation into physics teaching is a curricular move that, at present, has been predominately studied for its cognitive impacts. However, if this modality of instruction shifts how students engage with physics, we argue there…

Physics Education · Physics 2026-01-16 Sarah McHale , Tor Ole B. Odden , Ken Heller

Data physicalization is a research area in quick expansion whose necessity and popularity are motivated by the pervasiveness of data in our everyday. While the reflective ability of personal data physicalization has been vastly documented,…

Human-Computer Interaction · Computer Science 2024-05-17 Maria Teresa Ortoleva , Rita Borgo , Alfie Abdul-Rahman

Being able to predict the mental states of others is a key factor to effective social interaction. It is also crucial for distributed multi-agent systems, where agents are required to communicate and cooperate. In this paper, we introduce…

Multiagent Systems · Computer Science 2022-04-26 Yuanfei Wang , Fangwei Zhong , Jing Xu , Yizhou Wang

Immersion in a task is a prerequisite for creativity. However, excessive arousal in a single task has drawbacks, such as overlooking events outside of the task. To examine such a negative aspect, this study constructs a computational model…

Artificial Intelligence · Computer Science 2024-12-17 Kazuma Nagashima , Jumpei Nishikawa , Junya Morita

As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a large set of brain regions. Our goal is…

Neurons and Cognition · Quantitative Biology 2013-10-31 Danielle S. Bassett , Nicholas F. Wymbs , M. Puck Rombach , Mason A. Porter , Peter J. Mucha , Scott T. Grafton