15 papers · ranked by Valyu relevance
Bing Du, Xiaomu Cheng, Yiping Duan, Huansheng Ning + 5 more
'Andrea Luigi Guerra' 'Gabriele Baronio' 'Domenico Speranza' 'Luca Ulrich'] Brain neural activity decoding is an important branch of neuroscience research and a key technology for the brain-computer interface (BCI). Researchers initially developed simple linear models and machine learning algorithms to classify and…
Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen + 1 more
'Nicola Toschi'] Title: Abstract To-date, brain decoding literature has focused on single-subject studies, that is, reconstructing stimuli presented to a subject under fMRI acquisition from the fMRI activity of the same subject. The objective of this study is to introduce a generalization technique that enables the…
Yun Wang, Tjeerd Olde Scheper
Background/Objectives: Neural decoding methods are often limited by the performance of brain encoders, which map complex brain signals into a latent representation space of perception information. These brain encoders are constrained by the limited amount of paired brain and stimuli data available for training, making…
Stéphane d’Ascoli, Corentin Bel, Jérémy Rapin, Hubert Banville + 3 more
While deep learning has enabled the decoding of language from intracranial brain recordings, achieving this with non-invasive recordings remains an open challenge. We introduce a deep learning pipeline to decode individual words from electro- (EEG) and magneto-encephalography (MEG) signals. We evaluate our approach on…
Célia Loriette, Julian L. Amengual, Suliann Ben Hamed
One of the major challenges in system neurosciences consists in developing techniques for estimating the cognitive information content in brain activity. This has an enormous potential in different domains spanning from clinical applications, cognitive enhancement to a better understanding of the neural bases of…
Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri + 8 more
'Mishaal Abdullah Alshehri' 'Khaled Majed Bamusa' 'Ziyad Faiz Almalki' 'Sultan Alamri' 'Ahmad Joman Alghamdi' 'Mohammed Alhazmi' 'Hamid Osman' 'Mayeen U. Khandaker' 'Nuno Silva'] Background Functional magnetic resonance imaging (fMRI) has revolutionized our understanding of brain activity by non-invasively detecting…
Kalyan Tripathy, Zachary E. Markow, Morgan Fogarty, Mariel L. Schroeder + 5 more
'Mariel L. Schroeder' 'Alexa M. Svoboda' 'Adam T. Eggebrecht' 'Bradley L. Schlaggar' 'Jason W. Trobaugh' 'Joseph P. Culver'] Title: Abstract. Significance Decoding naturalistic content from brain activity has important neuroscience and clinical implications. Information about visual scenes and intelligible speech has…
Andrew D. Vigotsky, Rami Jabakhanji, Paulo Branco, Gian Domenico Iannetti + 2 more
'Gian Domenico Iannetti' 'Marwan N. Baliki' 'A. Vania Apkarian'] Title: Abstract How does the human brain generate coherent, subjective perceptions-transforming yellow and oblong visual sensory information into the perception of an edible banana? This is a hard problem. According to the standard viewpoint, processing…
Johan Nakuci, Jiwon Yeon, Ji-Hyun Kim, Sung-Phil Kim + 1 more
'Dobromir Rahnev'] Title: Abstract Group-level analyses have typically linked behavioral signatures to a constrained set of brain areas. Here, we show that two behavioral metrics-reaction time (RT) and confidence-can be decoded across the cortex when each individual is considered separately. Subjects (N = 50) completed…
Ye Chen, Peter Beech, Ziwei Yin, Shanshan Jia + 4 more
'Zhaofei Yu' 'Jian K. Liu' 'Daniele Marinazzo'] Understanding the computational mechanisms that underlie the encoding and decoding of environmental stimuli is a crucial investigation in neuroscience. Central to this pursuit is the exploration of how the brain represents visual information across its hierarchical…
Robert Worden
This paper uses simple arguments to derive a negative conclusion: that a computer cannot be conscious. If the brain is only a neural computer, brains cannot be conscious. Consciousness implies that there is something else happening in the brain, besides computation. In a running computer, information about outside…
Joe Saad, Adrian Evans, Ilan Jaoui, Victor Roux-Sibillon + 2 more
'Emmanuel Hardy' 'Lorena Anghel'] Brain signal decoders are increasingly being used in early clinical trials for rehabilitation and assistive applications such as motor control and speech decoding. As many Brain-Computer Interfaces (BCIs) need to be deployed in battery-powered or implantable devices, signal decoding…
Shinya Watanuki
Brand love is a relationship between brands and consumers. Managing the relationship is an important issue for marketing strategy since it changes according to temporal flow. Brand love theories, including their dynamics, have been developed based on interpersonal romantic love theories. Although many brand love…
Janet M. Baker, Peter Cariani
Waves are fundamental. In our view, waves in the brain may constitute and drive organized neural activity patterns on individual neural and population levels. Their interactions follow basic physical principles. Taking a comprehensive, temporal and spatiotemporal perspective, we endeavor to explain multiple brain…
Frederick Benjamin Junker, Lara Schlaffke, Joachim Lange, Tobias Schmidt-Wilcke
Understanding encoded language, such as written words, requires multiple cognitive processes that act in a parallel and interactive fashion. These processes and their interactions, however, are not fully understood. Various conceptual and methodical approaches including computational modeling and neuroimaging have been…