16 papers · ranked by Valyu relevance
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…
Elahe' Yargholi, Gholam-Ali Hossein-Zadeh
We are frequently exposed to hand written digits 0-9 in today's modern life. Success in decoding-classification of hand written digits helps us understand the corresponding brain mechanisms and processes and assists seriously in designing more efficient brain-computer interfaces. However, all digits belong to the same…
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…
J Brendan Ritchie, David Michael Kaplan, Colin Klein
Since its introduction, multivariate pattern analysis (MVPA), or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence…
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…
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…
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…
Mason Inman
Whenever we watch the world around us or dream about it when sleeping, our neurons produce “brain waves”-coordinated patterns of firing that create electrical signals that repeat in regular patterns. But exactly what messages are encoded in these brain waves, and how they are encoded, is still largely unresolved. The…
Diego Vidaurre, Nicholas E Myers, Mark Stokes, Anna C Nobre + 1 more
'Mark W Woolrich'] Title: Abstract In this article, we propose a method to track trial-specific neural dynamics of stimulus processing and decision making with high temporal precision. By applying this novel method to a perceptual template-matching task, we tracked representational brain states associated with the…
Diego Vidaurre, Radoslaw M Cichy, Mark W Woolrich
Brain decoding can predict visual perception from non-invasive electrophysiological data by combining information across multiple channels. However, decoding methods typically conflate the composite and distributed neural processes underlying perception that are together present in the signal, making it unclear what…
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury, Matthew G. Perich + 2 more
'Matthew G. Perich' 'Lee E. Miller' 'Konrad P. Kording'] Title: Abstract Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods. Modern machine learning tools, which are versatile and easy to use, have the potential to significantly improve decoding…
Giulio Mecacci, Pim Haselager
Contemporary brain reading technologies promise to provide the possibility to decode and interpret mental states and processes. Brain reading could have numerous societally relevant implications. In particular, the private character of mind might be affected, generating ethical and legal concerns. This paper aims at…
Lee de-Wit, David Alexander, Vebjørn Ekroll, Johan Wagemans
Psychology moved beyond the stimulus response mapping of behaviorism by adopting an information processing framework. This shift from behavioral to cognitive science was partly inspired by work demonstrating that the concept of information could be defined and quantified (Shannon, [69]). This transition developed…