Article
Multidisciplinary Sciences
Phillip (Xin) Cheng, Shrey Grover, Wen Wen, Shruthi Sankaranarayanan, Sierra Davies, Justine Fragetta, David Soto, Robert M. G. Reinhart
Summary: Understanding the neural mechanisms of conscious and unconscious experience is a crucial goal in neuroscience. In this study, researchers used noninvasive electrical stimulation to target the early visual cortex and identified distinct mechanisms for memory processing of conscious and unconscious perception. The findings contribute to existing theories of consciousness, call for revisions to these theories, and offer potential therapeutic interventions for enhancing visual cortical processing.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Mathematical & Computational Biology
Rachel St. Clair, L. Andrew Coward, Susan Schneider
Summary: The study introduces a novel learning model, the Recommendation Architecture (RA) Model, which combines consequence feedback and non-consequence feedback. Results show that the RA model learns novelty more efficiently and can accurately return to prior learning with less computational resources expenditure, making it more similar to human learning in terms of resource efficiency.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Nadine Dijkstra, Stephen M. Fleming
Summary: Humans have the ability to imagine and perceive, but it is still unclear how they differentiate between the two. This study found that imagined and perceived signals are actually mixed together, and judgments of reality are based on the intensity of this mixture. When the mixed signal is strong enough, virtual or imagined signals become indistinguishable from reality.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Umit V. V. Ucak, Islambek Ashyrmamatov, Juyong Lee
Summary: This study utilizes SMILES and SELFIES as important tools in chemical and natural language processing. By reconstructing these unique molecular representations from a set of structural fingerprints, the connectivity information lost during fingerprint transformation is restored, overcoming the major limitation of structural fingerprints in NLP models.
JOURNAL OF CHEMINFORMATICS
(2023)
Article
Business, Finance
Joanna Andrejkow, Leslie Berger, Lan Guo
Summary: This study provides evidence that consciously conveying the importance of one performance goal while priming the other performance goal nonconsciously can help individuals effectively pursue multiple performance goals simultaneously and improve overall task performance in a multidimensional task setting.
ACCOUNTING ORGANIZATIONS AND SOCIETY
(2022)
Article
Multidisciplinary Sciences
Moshe Shay Ben-Haim, Olga Dal Monte, Nicholas A. Fagan, Yarrow Dunham, Ran R. Hassin, Steve W. C. Chang, Laurie R. Santos
Summary: Scholars have debated the consciousness of animals for a long time, and research has identified two distinct processing modes in humans and monkeys. Through an empirical approach, it is possible to distinguish conscious visual awareness from nonconscious processing in nonhuman species.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Computer Science, Artificial Intelligence
Shun Shao, Yftah Ziser, Shay B. B. Cohen
Summary: We propose the AMSAL algorithm, which removes implicit information from neural representations. The algorithm alternates between finding an assignment of input representations to be erased and creating projections of both input representations and information to be erased into a joint latent space. Our results demonstrate the effectiveness of our algorithm on multiple datasets, including those with guarded and protected attributes.
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS
(2023)
Article
Computer Science, Artificial Intelligence
Quanshi Zhang, Jie Ren, Ge Huang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Summary: This paper presents a method for mining object-part patterns from a pre-trained CNN, organizing the mined patterns using an And-Or graph to semanticize CNN representations. The method exhibits high learning efficiency in experiments and achieves similar or better part-localization performance compared to fast-RCNN methods.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Neurosciences
Florian Sandhaeger, Markus Siegel
Summary: Multivariate analysis methods are widely used in neuroscience to investigate neural representations. It is unclear what conclusions can be drawn when significant pattern generalization is found in mass signals. Using simulations, it is possible to test meaningful hypotheses about neural representation generalization by estimating the expected magnitude of pattern generalization.
Article
Chemistry, Analytical
Adrian Cosma, Ion Emilian Radoi
Summary: The study explores self-supervised pretraining for gait recognition, achieving excellent results by offering the largest dataset annotated in real-world scenarios and utilizing a self-supervised learning framework with a large number of automatically annotated skeleton sequences. By addressing the challenges of real-world scenarios without identifiable appearance-based information, the proposed method surpasses the current state-of-the-art pose-based gait recognition solutions.
Article
Neurosciences
Josipa Alilovic, Dirk van Moorselaar, Marcel Graetz, Simon van Gaal, Heleen A. Slagter
Summary: The study revealed that the mechanisms through which attentional selection shapes conscious access under rapidly changing input conditions are not easily explainable, and have significant implications for theories of attentional blink and consciousness in general.
Article
Computer Science, Artificial Intelligence
Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
Summary: The research proposes a novel neural decoding framework called VSPnet, which utilizes hierarchical encoding and decoding networks with disentangled latent representations to recover visual stimuli more elaborately. The experimental results on public datasets demonstrate that our proposed method achieves higher reconstruction accuracy than existing approaches and greatly improves the identifiability of different reconstructed faces.
Article
Microbiology
Alan R. Pacheco, Charlie Pauvert, Dileep Kishore, Daniel Segre
Summary: This article proposes guiding principles to make microbial interaction data more findable, accessible, interoperable, and reusable (FAIR). It discusses the potential for new insights that can be gained through the integration of microbial interaction data and envisions potential trajectories for the deployment of FAIR microbial interaction data within the community.
Article
Chemistry, Physical
Jigyasa Nigam, Michael J. Willatt, Michele Ceriotti
Summary: This article discusses a family of structural descriptors that generalize atom-centered density correlation features to multiple centers and shows how they can be applied to learning matrix elements of the single-particle Hamiltonian. These features are fully equivariant in terms of translations, rotations, and permutations of indices associated with atoms.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Computer Science, Software Engineering
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sebastien Valette
Summary: Neural network-based classification methods lack interpretability and explainability, but saliency maps provide a popular method to make them interpretable. However, they are less suitable for classification problems with spatially correlated and scattered features. We propose a novel paradigm based on Disentangled Variational Auto-Encoders to reveal class differences, paving the way for easier interpretation of the differences. Our experiments on automatic sex determination from hip bones show consistent results with expert knowledge, and the approach allows us to confirm or question the choice of the classifier.
Article
Neurosciences
Steven Gale, Mario Prsa, Aaron Schurger, Annietta Gay, Aurore Paillard, Bruno Herbelin, Jean-Philippe Guyot, Christophe Lopez, Olaf Blanke
JOURNAL OF NEUROPHYSIOLOGY
(2016)
Article
Multidisciplinary Sciences
Taylor W. Webb, Kajsa M. Igelstrom, Aaron Schurger, Michael S. A. Graziano
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2016)
Editorial Material
Multidisciplinary Sciences
Sebo Uithol, Aaron Schurger
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2016)
Article
Neurosciences
Silvia Marchesotti, Roberto Martuzzi, Aaron Schurger, Maria Laura Blefari, Jose del R. Millan, Hannes Bleuler, Olaf Blanke
HUMAN BRAIN MAPPING
(2017)
Article
Neurosciences
Itzhak Fried, Patrick Haggard, Biyu J. He, Aaron Schurger
JOURNAL OF NEUROSCIENCE
(2017)
Article
Multidisciplinary Sciences
Aaron Schurger, Nathan Faivre, Leila Cammoun, Bianca Trovo, Olaf Blanke
SCIENTIFIC REPORTS
(2017)
Article
Neurosciences
Nima Khalighinejad, Aaron Schurger, Andrea Desantis, Leor Zmigrod, Patrick Haggard
Article
Multidisciplinary Sciences
Caspar M. Schwiedrzik, Lucia Melloni, Aaron Schurger
Article
Neurosciences
Zafer Iscan, Aaron Schurger, Marine Vernet, Jacobo D. Sitt, Antoni Valero-Cabre
EXPERIMENTAL BRAIN RESEARCH
(2018)
Article
Multidisciplinary Sciences
Ramon Guevara Erra, Marco Arbotto, Aaron Schurger
SCIENTIFIC REPORTS
(2019)
Editorial Material
Neurosciences
Adrien Doerig, Aaron Schurger, Michael H. Herzog
Summary: Consciousness has become a well-established field of empirical research with diverse theories proposed. The abundance of different theories may be due to a lack of stringent criteria specifying how empirical data constrains these theories. A checklist of criteria has been presented to evaluate empirical Theories of Consciousness.
COGNITIVE NEUROSCIENCE
(2021)
Article
Neurosciences
Adrien Doerig, Aaron Schurger, Michael H. Herzog
Summary: In the field of consciousness research, there are numerous theories and the criteria for evaluating and comparing these theories are controversial. While there is consensus that a theory of consciousness needs an unconscious alternative, the debate on the extent to which consciousness should work with first-person data is the most heated.
COGNITIVE NEUROSCIENCE
(2021)
Article
Psychology, Biological
Aaron Schurger, Michael Graziano
Summary: Consciousness is a subjective phenomenon, making it challenging to study scientifically. The search for 'neural correlates of consciousness' has allowed science to characterize neural activity related to consciousness without explaining consciousness itself. Most modern accounts of consciousness are descriptive rather than explanatory, functioning as laws of consciousness.
NEUROSCIENCE OF CONSCIOUSNESS
(2022)
Article
Neurosciences
Aaron Schurger, Steven Gale, Olivia Gozel, Olaf Blanke
BRAIN AND COGNITION
(2017)
Article
Neurosciences
Aaron Schurger