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The relation between spontaneous and stimulated global brain activity is a fundamental problem in the understanding of brain functions. This question is investigated both theoretically and experimentally within the context of nonequilibrium…

Neurons and Cognition · Quantitative Biology 2020-09-07 A. Sarracino , O. Arviv , O. Shriki , L. de Arcangelis

Recent studies of hearing aid benefits indicate that head movement behavior influences performance. To systematically assess these effects, movement behavior must be measured in realistic communication conditions. For this, the use of…

Medical Physics · Physics 2018-12-06 Maartje M. E. Hendrikse , Gerard Llorach , Giso Grimm , Volker Hohmann

In neuroimaging, extensive post-processing of resting-state functional MRI (rfMRI) data is necessary for its application and investigation in relation to brain-behavior associations. Such post-processing is used to derive brain…

Computational Geometry · Computer Science 2025-09-11 Ty Easley , Kevin Freese , Elizabeth Munch , Janine Bijsterbosch

Recent evidence suggests Large Language Models (LLMs) display Theory of Mind (ToM) abilities. Most ToM experiments place participants in a spectatorial role, wherein they predict and interpret other agents' behavior. However, human ToM also…

Computation and Language · Computer Science 2025-07-23 Jared Moore , Ned Cooper , Rasmus Overmark , Beba Cibralic , Nick Haber , Cameron R. Jones

Humans continuously infer the states, goals, and behaviors of others by perceiving their surroundings in dynamic, real-world social interactions. However, most Theory of Mind (ToM) benchmarks only evaluate static, text-based scenarios,…

Computation and Language · Computer Science 2025-12-16 Xianzhe Fan , Xuhui Zhou , Chuanyang Jin , Kolby Nottingham , Hao Zhu , Maarten Sap

Most existing Theory of Mind (ToM) benchmarks for foundation models rely on variations of the Sally-Anne test, offering only a very limited perspective on ToM and neglecting the complexity of human social interactions. To address this gap,…

Computation and Language · Computer Science 2025-09-17 Matteo Bortoletto , Constantin Ruhdorfer , Andreas Bulling

The scope of human consciousness includes states departing from what most of us experience as ordinary wakefulness. These altered states of consciousness constitute a prime opportunity to study how global changes in brain activity relate to…

Neurons and Cognition · Quantitative Biology 2020-08-07 Rodrigo Cofré , Rubén Herzog , Pedro A. M. Mediano , Juan Piccinini , Fernando E. Rosas , Yonatan Sanz Perl , Enzo Tagliazucchi

Neurons in the brain are spatially organized such that neighbors on tissue often exhibit similar response profiles. In the human language system, experimental studies have observed clusters for syntactic and semantic categories, but the…

Computation and Language · Computer Science 2025-05-16 Neil Rathi , Johannes Mehrer , Badr AlKhamissi , Taha Binhuraib , Nicholas M. Blauch , Martin Schrimpf

Humans can covertly track the position of an object, even if the object is temporarily occluded. What are the neural mechanisms underlying our capacity to track moving objects when there is no physical stimulus for the brain to track? One…

Neurons and Cognition · Quantitative Biology 2020-11-13 Amanda K. Robinson , Tijl Grootswagers , Sophia M. Shatek , Jack Gerboni , Alex Holcombe , Thomas A. Carlson

Spontaneous brain activity, as observed in functional neuroimaging, has been shown to display reproducible structure that expresses brain architecture and carries markers of brain pathologies. An important view of modern neuroscience is…

Machine Learning · Statistics 2010-11-15 Gaël Varoquaux , Alexandre Gramfort , Jean Baptiste Poline , Bertrand Thirion

The primary motor cortex appears to be in the center of transcranial magnetic stimulation (TMS). It is one of few locations that provide directly observable responses, and its physiology serves as model or reference for almost all other TMS…

Neurons and Cognition · Quantitative Biology 2025-07-08 Maryam Farahmandrad , Stefan Goetz

Understanding and attributing mental states, known as Theory of Mind (ToM), emerges as a fundamental capability for human social reasoning. While Large Language Models (LLMs) appear to possess certain ToM abilities, the mechanisms…

Artificial Intelligence · Computer Science 2024-05-31 Wentao Zhu , Zhining Zhang , Yizhou Wang

Deciphering the human visual experience through brain activities captured by fMRI represents a compelling and cutting-edge challenge in the field of neuroscience research. Compared to merely predicting the viewed image itself, decoding…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Ziqi Ren , Jie Li , Xuetong Xue , Xin Li , Fan Yang , Zhicheng Jiao , Xinbo Gao

Technological advancements have enabled the recording of spiking activities from large neuron ensembles, presenting an exciting yet challenging opportunity for statistical analysis. This project considers the challenges from a common type…

Applications · Statistics 2024-04-05 Zitong Zhang , Shizhe Chen

Theory of Mind (ToM) is the ability to understand and reflect on the mental states of others. Although this capability is crucial for human interaction, testing on Large Language Models (LLMs) reveals that they possess only a rudimentary…

Computation and Language · Computer Science 2025-01-17 Sneheel Sarangi , Maha Elgarf , Hanan Salam

A precise understanding of why units in an artificial network respond to certain stimuli would constitute a big step towards explainable artificial intelligence. One widely used approach towards this goal is to visualize unit responses via…

Computer Vision and Pattern Recognition · Computer Science 2021-11-15 Roland S. Zimmermann , Judy Borowski , Robert Geirhos , Matthias Bethge , Thomas S. A. Wallis , Wieland Brendel

Theory of mind (ToM; Premack & Woodruff, 1978) broadly refers to humans' ability to represent the mental states of others, including their desires, beliefs, and intentions. We propose to train a machine to build such models too. We design a…

Artificial Intelligence · Computer Science 2018-03-14 Neil C. Rabinowitz , Frank Perbet , H. Francis Song , Chiyuan Zhang , S. M. Ali Eslami , Matthew Botvinick

Despite the recent advancement in the social robotic field, important limitations restrain its progress and delay the application of robots in everyday scenarios. In the present paper, we propose to develop computational models inspired by…

Robotics · Computer Science 2019-09-04 Francesca Bianco , Dimitri Ognibene

The proposed analysis of the currently available experimental results concerning the neural cell activity in the brain area known as hippocampus suggests a particular mechanism of spatial information and memory processing. Below it is…

Other Quantitative Biology · Quantitative Biology 2007-05-23 Yu. Dabaghian , A. G. Cohn , L. Frank

Spatial functional organization is a hallmark of biological brains: neurons are arranged topographically according to their response properties, at multiple scales. In contrast, representations within most machine learning models lack…

Computation and Language · Computer Science 2025-10-22 Taha Binhuraib , Greta Tuckute , Nicholas Blauch
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