25 papers · ranked by Valyu relevance
Tijl Grootswagers, Amanda K. Robinson, Sophia M. Shatek, Thomas A Carlson
The basic computations performed in the human early visual cortex are the foundation for visual perception. While we know a lot about these computations from work in non-human animals, a key missing piece is how the coding of visual features relates to our perceptual experience. To investigate visual feature coding…
Avi M. Aizenman, Krista A. Ehinger, Farahnaz A. Wick, Ruggero Micheletto + 3 more
During visual search, attention is guided by specific features, including shape. Our understanding of shape guidance is limited to specific attributes (closures and line terminations) that do not fully explain the richness of preattentive shape processing. We used a novel genetic algorithm method to explore shape space…
Jan Kevin Schluesener, Malav Shah, Florian Sandhaeger, Markus Siegel
Neural activity is selective for the identity and semantic category of natural visual stimuli. In human neuroimaging, this selectivity can be investigated using multivariate pattern analysis. The resulting neural information is thought to reflect neural processes underlying object recognition. However, due to the…
Tijl Grootswagers, Amanda K. Robinson, Sophia M. Shatek, Thomas A. Carlson + 1 more
'Thomas A. Carlson' 'Daniele Marinazzo'] The basic computations performed in the human early visual cortex are the foundation for visual perception. While we know a lot about these computations, a key missing piece is how the coding of visual features relates to our perception of the environment. To investigate visual…
Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori + 1 more
Symmetries, invariances and conservation equations have always been an invaluable guide in Science to model natural phenomena through simple yet effective relations. For instance, in computer vision, translation equivariance is typically a built-in property of neural architectures that are used to solve visual tasks…
Kazuaki Akamatsu, Tomohiro Nishino, Yoichi Miyawaki
The human gaze is directed at various locations from moment to moment in acquiring information necessary to recognize the external environment at the fine resolution of foveal vision. Previous studies showed that the human gaze is biased to particular locations in the visual field at a particular timing, but it remains…
Rui Zhao, Wenrui Li, Lin Zhu, Yajing Zheng + 1 more
Deep visual features are increasingly used as the interface in vision systems, motivating the need to describe feature characteristics and control feature quality for machine perception. Just noticeable difference (JND) characterizes the maximum imperceptible distortion for images under human or machine vision.…
Margaret Henderson, Michael J. Tarr, Leila Wehbe
Representations of visual and semantic information can overlap in human visual cortex, with the same neural populations exhibiting sensitivity to low-level features (orientation, spatial frequency, retinotopic position), and high-level semantic categories (faces, scenes). It has been hypothesized that this relationship…
Yaoda Xu, Benjamin Swinchoski, JohnMark Taylor, Marvin Chun
Two defining visual features of a real-world object are its shape and color. While previous fMRI pattern decoding studies showed that these features are represented in a largely orthogonal and independent manner in the human occipitotemporal cortex (OTC) during visual perception, how they are coded together in visual…
James T. Todd, Alexander A. Petrov
Shape is an interesting property of objects because it is used in ordinary discourse in ways that seem to have little connection to how it is typically defined in mathematics. The present article describes how the concept of shape can be grounded within Euclidean and non-Euclidean geometry and also to human perception.…
Henan Zhao, Garnett W. Bryant, Wesley Griffin, Judith E. Terrill + 1 more
'Jian Chen'] Abstract—We present experimental results to explore a form of bivariate glyphs for representing large-magnitude-range vectors. The glyphs meet two conditions: (1) two visual dimensions are separable; and (2) one of the two visual dimensions uses a categorical representation (e.g., a categorical colormap).…
Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf M. Haefner + 9 more
'Leyla Işık' 'Joshua B. Tenenbaum' 'Talia Konkle' 'Thomas Naselaris' 'Kimberly Stachenfeld' 'Zenna Tavares' 'Doris Y. Tsao' 'Ilker Yildirim' 'Nikolaus Kriegeskorte'] - 3Department of Brain and Cognitive Sciences, MIT - 4McGovern Institute for Brain Research, MIT 5NSF Center for Brains, Minds and Machines, MIT - 6Quest…
Yaocong Duan, Jiayu Zhan, Joachim Groß, Robin A. A. Ince + 1 more
'Philippe G. Schyns'] Visual categorization is the pervasive cognitive function with which humans make sense of their external world. Current theories and models assume that the visual hierarchy reduces its high-dimensional input, by flexibly selecting the stimulus features that support categorization behavior. To…
Kevin Mildau, Christoph Büschl, Jürgen Zanghellini, Justin J.J. van der Hooft
Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping, resulting in feature sets…
Jian Chen, Petra Isenberg, Robert S. Laramee, Tobias Isenberg + 3 more
'Michael Sedlmair' 'Torsten Moeller' 'Rui Li'] Abstract—We present and discuss the results of a qualitative analysis of visual representations from images. We labeled each image's essential stimuli, the removal of which would render a visualization uninterpretable. As a result, we derive a typology of 10 image-based…
Li Zhaoping
Our brain recognizes only a tiny fraction of sensory input, due to an information processing bottleneck. This blinds us to most visual inputs. Since we are blind to this blindness, only a recent framework highlights this bottleneck by formulating vision as mainly looking and seeing. Looking selects a tiny fraction of…
Sergio Pablo-García, Raúl Pérez-Soto, Albert Sabadell-Rendón, Diego Garay-Ruiz + 2 more
In the study of chemical reactions, visualizing reaction networks is pivotal for identifying crucial compounds and reactions. Traditional methods, such as network schematics and reaction path linear plots, often struggle to effectively represent complex reaction networks due to their size and intricate connectivity.…
Daniela Valério, Akbar Hussain, Jorge Almeida
Feature generation tasks and feature databases are important for understanding how knowledge is organized in semantic memory, as they reflect not only the kinds of information that individuals have about objects but also how objects are conceptually parse. Traditionally, semantic norms focus on a variety of object…
Authors not listed
In experimental chemistry, actions are adjusted based on what we see—such as dosing until dissolution, heating until melting, or stirring until mixing is complete. However, current self-driving labs (SDLs) do not monitor these visual cues. HeinSight 4.0 fills this gap by integrating computer vision into SDLs to enable…
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high-throughput screening, diversity analysis, and outlier detection. We present here ChemPlot…
Authors not listed
Effective visualization of complex synthesis routes is critical for computeraided synthesis planning (CASP), yet current solutions are limited in scope, integration flexibility, and chemical intuition. We introduce RouteWise, a versatile, containerized web application designed to address these unmet needs. Its modular…
Jing Wang, Rongfeng Zhao, Peitong Li, Zhiqiang Fang + 5 more
'Yanling Han' 'Ruyan Zhou' 'Yun Zhang' 'Francesca Uccheddu'] Visual prostheses, used to assist in restoring functional vision to the visually impaired, convert captured external images into corresponding electrical stimulation patterns that are stimulated by implanted microelectrodes to induce phosphenes and eventually…
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…
David N. White, Johannes Burge
Stimulus variability—a form of nuisance variability—is a primary source of perceptual uncertainty in every-day natural tasks. How do different properties of natural images and scenes contribute to this uncertainty? Using binocular disparity as a model system, we report a systematic investigation of how various forms of…
Heeseung Lee, Daeho Kim, Heyin Lee, Namyoung Gwak + 6 more
- 1. Computational Science Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea - 2. Department of Materials Science and Engineering, Korea University, 145 Anam-ro, Seoul 02841, Republic of Korea - 3. Department of Chemical and Biological Engineering, Korea University, Seoul 02841…