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Related papers: R&B -- Rhythm and Brain: Cross-subject Decoding of…

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The process of reconstructing experiences from human brain activity offers a unique lens into how the brain interprets and represents the world. In this paper, we introduce a method for reconstructing music from brain activity, captured…

Neurons and Cognition · Quantitative Biology 2026-02-12 Timo I. Denk , Yu Takagi , Takuya Matsuyama , Andrea Agostinelli , Tomoya Nakai , Christian Frank , Shinji Nishimoto

In daily life, we encounter diverse external stimuli, such as images, sounds, and videos. As research in multimodal stimuli and neuroscience advances, fMRI-based brain decoding has become a key tool for understanding brain perception and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Pengyu Liu , Guohua Dong , Dan Guo , Kun Li , Fengling Li , Xun Yang , Meng Wang , Xiaomin Ying

Neural decoding, the process of understanding how brain activity corresponds to different stimuli, has been a primary objective in cognitive sciences. Over the past three decades, advances in functional Magnetic Resonance Imaging (fMRI) and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Yanchen Wang , Adam Turnbull , Tiange Xiang , Yunlong Xu , Sa Zhou , Adnan Masoud , Shekoofeh Azizi , Feng Vankee Lin , Ehsan Adeli

Current AI frameworks for brain decoding and encoding, typically train and test models within the same datasets. This limits their utility for brain computer interfaces (BCI) or neurofeedback, for which it would be useful to pool…

Brain decoding is a field of computational neuroscience that uses measurable brain activity to infer mental states or internal representations of perceptual inputs. Therefore, we propose a novel approach to brain decoding that also relies…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Matteo Ferrante , Tommaso Boccato , Nicola Toschi

Due to the lack of paired samples and the low signal-to-noise ratio of functional MRI (fMRI) signals, reconstructing perceived natural images or decoding their semantic contents from fMRI data are challenging tasks. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Yulong Liu , Yongqiang Ma , Wei Zhou , Guibo Zhu , Nanning Zheng

Multimodal learning has driven innovation across various industries, particularly in the field of music. By enabling more intuitive interaction experiences and enhancing immersion, it not only lowers the entry barriers to the music but also…

Multimedia · Computer Science 2026-02-24 Sifei Li , Mining Tan , Feier Shen , Minyan Luo , Zijiao Yin , Fan Tang , Weiming Dong , Changsheng Xu

Music listening involves many simultaneous neural operations, including auditory processing, working memory, temporal sequencing, pitch tracking, anticipation, reward, and emotion, and thus, a full investigation of music cognition would…

Neurons and Cognition · Quantitative Biology 2022-01-19 Melia E. Bonomo , Anthony K. Brandt , J. Todd Frazier , Christof Karmonik

Music is frequently used to establish atmosphere and to enhance/alter emotion in dramas and films. During music listening, visual imagery is a common mechanism underlying emotion induction. The present functional magnetic resonance imaging…

Neurons and Cognition · Quantitative Biology 2023-01-27 Chia-Wei Li , Tzu-Han Cheng , Chen-Gia Tsai

Addressing the question of visualising human mind could help us to find regions that are associated with observed cognition and responsible for expressing the elusive mental image, leading to a better understanding of cognitive function.…

Neurons and Cognition · Quantitative Biology 2021-02-11 Pan Wang , Rui Zhou , Shuo Wang , Ling Li , Wenjia Bai , Jialu Fan , Chunlin Li , Peter Childs , Yike Guo

Drawing inspiration from the hierarchical processing of the human auditory system, which transforms sound from low-level acoustic features to high-level semantic understanding, we introduce a novel coarse-to-fine audio reconstruction…

Sound · Computer Science 2024-05-30 Che Liu , Changde Du , Xiaoyu Chen , Huiguang He

This study explores the application of recurrent neural networks to recognize emotions conveyed in music, aiming to enhance music recommendation systems and support therapeutic interventions by tailoring music to fit listeners' emotional…

Sound · Computer Science 2024-05-14 Xinyu Chang , Xiangyu Zhang , Haoruo Zhang , Yulu Ran

Music, being a multifaceted stimulus evolving at multiple timescales, modulates brain function in a manifold way that encompasses not only the distinct stages of auditory perception but also higher cognitive processes like memory and…

Neurons and Cognition · Quantitative Biology 2018-02-06 Dimitrios A. Adamos , Nikolaos Laskaris , Sifis Micheloyannis

Deciphering visual content from functional Magnetic Resonance Imaging (fMRI) helps illuminate the human vision system. However, the scarcity of fMRI data and noise hamper brain decoding model performance. Previous approaches primarily…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Yulong Liu , Yongqiang Ma , Guibo Zhu , Haodong Jing , Nanning Zheng

The growing use of naturalistic stimuli, such as feature films, brings research on emotions closer to ecologically valid settings within brain scanners, such as functional magnetic resonance imaging (fMRI). Music is another cultural…

Neurons and Cognition · Quantitative Biology 2024-10-31 Leonardo Muller-Rodriguez , Owen O'Daly

The study of Music Cognition and neural responses to music has been invaluable in understanding human emotions. Brain signals, though, manifest a highly complex structure that makes processing and retrieving meaningful features challenging,…

Sound · Computer Science 2022-02-22 Kleanthis Avramidis , Christos Garoufis , Athanasia Zlatintsi , Petros Maragos

Recent advances in biosensors technology and mobile electroencephalographic (EEG) interfaces have opened new application fields for cognitive monitoring. A computable biomarker for the assessment of spontaneous aesthetic brain responses…

Neurons and Cognition · Quantitative Biology 2016-09-26 Dimitrios A. Adamos , Stavros I. Dimitriadis , Nikolaos A. Laskaris

Rapid advancements in artificial intelligence have significantly enhanced generative tasks involving music and images, employing both unimodal and multimodal approaches. This research develops a model capable of generating music that…

Sound · Computer Science 2024-09-13 Tanisha Hisariya , Huan Zhang , Jinhua Liang

The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this manuscript is to…

Signal Processing · Electrical Eng. & Systems 2024-11-21 Isaac Ariza , Ana M. Barbancho , Lorenzo J. Tardon , Isabel Barbancho

Rhythm is a fundamental aspect of human behaviour, present from infancy and deeply embedded in cultural practices. Rhythm anticipation is a spontaneous cognitive process that typically occurs before the onset of actual beats. While most…

Neurons and Cognition · Quantitative Biology 2025-03-18 Zhongju Yuan , Geraint Wiggins , Dick Botteldooren
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