17 papers · ranked by Valyu relevance
Gordana Dodig-Crnković
Traditionally, cognition has been considered a uniquely human capability involving perception, memory, learning, reasoning, and problem-solving. However, recent research shows that cognition is a fundamental ability shared by all living beings, from single cells to complex organisms. This chapter takes an…
Gordana Dodig-Crnkovic, Kevin H. Knuth
Cognition, historically considered uniquely human capacity, has been recently found to be the ability of all living organisms, from single cells and up. This study approaches cognition from an info-computational stance, in which structures in nature are seen as information, and processes (information dynamics) are seen…
Gordana Dodig-Crnković
This work examines the interconnections between logic, epistemology, and sciences within the Naturalist tradition. It presents a scheme that connects logic, mathematics, physics, chemistry, biology, and cognition, emphasizing scale-invariant, self-organizing dynamics across organizational tiers of nature. The inherent…
Wiktor Rorot, Kevin H. Knuth
“Morphological computation” is an increasingly important concept in robotics, artificial intelligence, and philosophy of the mind. It is used to understand how the body contributes to cognition and control of behavior. Its understanding in terms of “offloading” computation from the brain to the body has been criticized…
Joshua Bongard, Michael Levin, Marc Weissburg
The applicability of computational models to the biological world is an active topic of debate. We argue that a useful path forward results from abandoning hard boundaries between categories and adopting an observer-dependent, pragmatic view. Such a view dissolves the contingent dichotomies driven by human cognitive…
Orkan Telhan, Jake Winiski, Damen Schaak, Michael Siegel + 2 more
We introduce a neuromorphic computing substrate based on PEDOT:PSS-infused mycelium, a biofabricated, morphologically tunable material that can be engineered into electrically active components including resistors, capacitors, and non-linear elements. Leveraging the principles of physical reservoir computing, we…
Erick Oliveira Rodrigues, Aura Conci
This work introduces mathematical morphology-an established visual computing theory-into machine learning to exploit shape and density aspects often overlooked by standard techniques. We propose a fast clustering algorithm based on morphological reconstruction that accurately preserves cluster shapes and density. This…
A. Murat Maga, Jean-Christophe Fillion-Robin
The digitization of biological specimens has revolutionized the field of morphology, creating large collections of 3D data, and microCT in particular. This revolution was initially supported by the development of open-source software tools, specifically the development of SlicerMorph extension to the open-source image…
Kiya W. Govek, Patrick Nicodemus, Yuxuan Lin, Jake Crawford + 5 more
'Artur B. Saturnino' 'Hannah Cui' 'Kristi Zoga' 'Michael P. Hart' 'Pablo G. Camara'] High-resolution imaging has revolutionized the study of single cells in their spatial context. However, summarizing the great diversity of complex cell shapes found in tissues and inferring associations with other single-cell data…
Kiya W. Govek, Jake Crawford, Artur B. Saturnino, Kristi Zoga + 2 more
Morphology is an essential phenotype in the characterization of cells and their states, as it is closely related to cell function. Recent advances like Patch-seq enable simultaneously profiling the morphology, gene expression, and physiological properties of individual cells. However, computational methods that can…
Koji Noshita, Hidekazu Murata, Shiryu Kirie
The morphological traits of plants contribute to many important functional features such as radiation interception, lodging tolerance, gas exchange efficiency, spatial competition between individuals and/or species, and disease resistance. Although the importance of plant phenotyping techniques is increasing with…
Ruiming Du, Zhai, Guangxun, Tian Qiu + 1 more
The precise characterization of plant morphology provides valuable insights into plant–environment interactions and genetic evolution. A key technology for extracting this information is 3D segmentation, which delineates individual plant organs from complex point clouds. Despite significant progress in general 3D…
Zhe Li, XinYi Lu, Xiao Han, LiYa Wang + 2 more
Landscape morphology is a significant area of landscape architecture research. One of the scientific and technological issues in recent landscape morphology research is the use of quantitative analysis technology driven by morphology indexes and computational models to describe, compare, and analyze form features. This…
Yoko Tomizawa, Naoki Minamino, Eita Shimokawa, Shogo Kawamura + 6 more
Characterizing phenotypes is a fundamental aspect of biological sciences, although it can be challenging due to various factors. For instance, the liverwort (Marchantia polymorpha), a model system for plant biology, exhibits morphological variability, making it difficult to identify and quantify distinct phenotypic…
Chi Zhang, Arthur Porto, Sara Rolfe, Altan Kocatulum + 1 more
Geometric morphometrics based on landmark data has been increasingly used in biomedical and biological researchers for quantifying complex phenotypes. However, manual landmarking can be laborious and subject to intra and interobserver errors. This has motivated the development of automated landmarking methods. We have…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…
Laura E. Suárez, Agoston Mihalik, Filip Milisav, Kenji Marshall + 4 more
The connection patterns of neural circuits form a complex network. How signaling in these circuits manifests as complex cognition and adaptive behaviour remains the central question in neuroscience. Concomitant advances in connectomics and artificial intelligence open fundamentally new opportunities to understand how…