22 papers · ranked by Valyu relevance
Sebastian Schneegans, Paul M. Bays
Binding refers to the operation that groups different features together into objects. We propose a neural architecture for feature binding in visual working memory that employs populations of neurons with conjunction responses. We tested this model using cued recall tasks, in which subjects had to memorize object…
Robert Wirth, Wilfried Kunde
Monitoring the perceptual effects of body movements is supposed to be a capacity-limited process that can interfere with processing of a concurrent task. Here we studied the contribution of feature binding to such effect monitoring interference. In three experiments, we varied the possibility of feature overlap between…
Snehlata Jaswal
The integration of different stimulus properties as an object is the process of feature binding. The research topic “Inhibition in the process of feature binding” aimed to debate which features bind together, why, and how; and what happens to features which are not integrated. The authors of the review articles took up…
James B. Isbister, Akihiro Eguchi, Nasir Ahmad, Juan M. Galeazzi + 2 more
'Mark J. Buckley' 'Simon Stringer'] We discuss a recently proposed approach to solve the classic feature-binding problem in primate vision that uses neural dynamics known to be present within the visual cortex. Broadly, the feature-binding problem in the visual context concerns not only how a hierarchy of features such…
Laura Sainz Villalba, P. Michael Furlong, Madeleine Bartlett, Nicole Sandra-Yaffa Dumont
The brain faces the feature binding problem: how are multiple stimulus features and variables combined into coherent representations that support flexible behavior? A key finding from neuroscience is that some brain regions employ factorized representations, where distinct features are encoded in neural state space in…
Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
'Neil D. B. Bruce'] In this paper, we present a strategy for training convolutional neural networks to effectively resolve interference arising from competing hypotheses relating to inter-categorical information throughout the network. The premise is based on the notion of feature binding, which is defined as the…
Lianghuan Huang, Yihao Li, Saeed Salehi, Yingshan Chang + 2 more
Representations of the world, arguably, contain information about features (e.g. something is blue, something is a circle) but also information about which features are part of the same object (e.g. the circle is blue), which we call binding information. Any system with the ability to understand scenes with multiple…
Sindy Löwe, Francesco Locatello, Max Welling
In human cognition, the binding problem describes the open question of how the brain flexibly integrates diverse information into cohesive object representations. Analogously, in machine learning, there is a pursuit for models capable of strong generalization and reasoning by learning object-centric representations in…
Assouel, Rim, Campbell, Declan + 4 more
To accurately process a visual scene, observers must bind features together to represent individual objects. This capacity is necessary, for instance, to distinguish an image containing a red square and a blue circle from an image containing a blue square and a red circle. Recent work has found that language models…
Viola Mocke, Patricia Holzmann, Bernhard Hommel, Wilfried Kunde
There is evidence that planning an action relies on binding codes of the relevant features of that action into an action plan. Such binding is indicated by the observation that planning a novel action is impaired if it shares some but not all features with another action that is held in memory for later execution. Most…
Bao Wang, Zhixiong Zhao, Duc Duy Nguyen, Guo‐Wei Wei
Bao Wang1∗ , Zhixiong Zhao2† , Duc D. Nguyen1 and Guo-Wei Wei1,3,4 ‡ 1Department of Mathematics Michigan State University, MI 48824, USA 2School of Medicine, Foshan University, Foshan, Guangdong 528000, China 3Department of Electrical and Computer Engineering Michigan State University, MI 48824, USA 4Department of…
Yihao Li, Saeed Salehi, Lyle Ungar, Konrad P. Kording
Object binding, the brain's ability to bind the many features that collectively represent an object into a coherent whole, is central to human cognition. It groups low-level perceptual features into high-level object representations, stores those objects efficiently and compositionally in memory, and supports human…
Ruoyi Cao, Leon Y. Deouell
Working memory (WM) serves as a neurocognitive system responsible for temporarily storing and manipulating information when its source has disappeared. Previous investigations into whether features within the same dimension were stored separately or conjoined into objects have yielded conflicting findings. Based on…
Fergus Boyles, Charlotte M Deane, Garrett Morris
Machine learning scoring functions for protein-ligand binding affinity prediction have been found to consistently outperform classical scoring functions. Structure-based scoring functions for universal affinity prediction typically use features describing interactions derived from the protein-ligand complex, with…
Julius Wenckstern, Anna M. Díaz-Rovira, Julia Kuhn, Arvid Ban + 18 more
Affinity reagents such as antibodies are indispensable for interrogating proteins’ biological function. Yet they are costly and frequently unreliable, with unknown sequences, posing challenges to reproducible experimental research. Deep learning-based protein design can now in silico generate affinity reagents…
Jose Cleydson F. Silva, Layla Schuster, Nick Sexson, Melissa Erdem + 4 more
Characterizing protein families’ structural and functional diversity is essential for understanding their biological roles. Traditional analyses often focus on primary and secondary structures, which may not fully capture complex protein interactions. Here we introduce InteracTor, a novel toolkit that extracts…
Jose Cleydson F. Silva, Layla Schuster, Nick Sexson, Matias Kirst + 2 more
Understanding the structural and functional diversity of protein families is crucial for elucidating their biological roles. Traditional analyses often focus on primary and secondary structures, which include amino acid sequences and local folding patterns like alpha helices and beta sheets. However, primary and…
Kunal Lodaya, Nathan Ricke, Kelly Chen, Troy Van Voorhis
Graphite-conjugated catalysts (GCCs) are a promising class of materials that combine many of the advantages of heterogenous and homogeneous catalysts. In particular, GCCs containing an aryl-pyridinium active site appear to be effective nonmetal catalysts for the oxygen reduction reaction (ORR). In this study, we…
Andrew McNutt, David Koes
Determination of the bound pose of a ligand is a critical first step in many in silico drug discovery tasks. Molecular docking is the main tool for the prediction of non-covalent binding of a protein and ligand system. Molecular docking pipelines often only utilize the information of one ligand binding to the protein…
Authors not listed
Traditional and non-classical machine learning models for solid-state structure prediction have predominantly relied on compositional features (derived from properties of constituent elements) to predict the existence of structure and its properties. However, the lack of structural information can be a source of…
Akshara Pande, Sumeet Patiyal, Anjali Lathwal, Chakit Arora + 11 more
In last three decades, a wide range of protein descriptors/features have been discovered to annotate a protein with high precision. A wide range of features have been integrated in numerous software packages (e.g., PROFEAT, PyBioMed, iFeature, protr, Rcpi, propy) to predict function of a protein. These features are not…
Xiujuan Wang, Yutong Shi, Kangfeng Zheng, Yuyang Zhang + 3 more
'Siwei Cao' 'Carina Soledad González'] In order to improve user authentication accuracy based on keystroke dynamics and mouse dynamics in hybrid scenes and to consider the user operation changes in different scenes that aggravate user status changes and make it difficult to simulate user behaviors, we present a user…