19 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…
Keyan Ghazi-Zahedi, John Rieffel, Syn Schmitt, Helmut Hauser
Editorial on the Research Topic [Recent Trends in Morphological Computation]() Morphological Computation is a concept that suggests that morphological properties, such as the shape and form of a body, as well as dynamical properties like compliance, resonance, and friction, play a crucial role in the emergence of…
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…
Keyan Ghazi-Zahedi, Nihat Ay
The field of embodied intelligence emphasises the importance of the morphology and environment with respect to the behaviour of a cognitive system. The contribution of the morphology to the behaviour, commonly known as morphological computation, is well-recognised in this community. We believe that the field would…
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…
Keyan Ghazi-Zahedi, Johannes Rauh
The question how an agent is affected by its embodiment has attracted growing attention in recent years. A new field of artificial intelligence has emerged, which is based on the idea that intelligence cannot be understood without taking into account embodiment. We believe that a formal approach to quantifying the…
Marcin Miłkowski
The purpose of this paper is to argue against the claim that morphological computation is substantially different from other kinds of physical computation. I show that some (but not all) purported cases of morphological computation do not count as specifically computational, and that those that do are solely physical…
Ranjan Mondal, Soumendu Sundar Mukherjee, Sanchayan Santra, Bhabatosh Chanda
'Bhabatosh Chanda'] In recent years, the idea of using morphological operations as networks has received much attention. Mathematical morphology provides very efficient and useful image processing and image analysis tools based on basic operators like dilation and erosion, defined in terms of kernels. Many other…
Andrea Loddo, Cecilia Di Ruberto, Michel Kocher
Malaria is an epidemic health disease and a rapid, accurate diagnosis is necessary for proper intervention. Generally, pathologists visually examine blood stained slides for malaria diagnosis. Nevertheless, this kind of visual inspection is subjective, error-prone and time-consuming. In order to overcome the issues…
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…
Antonio Jimeno-Morenilla, Francisco A. Pujol, Rafael Molina-Carmona, José L. Sánchez-Romero + 1 more
'José L. Sánchez-Romero' 'Mar Pujol'] Mathematical morphology has been an area of intensive research over the last few years. Although many remarkable advances have been achieved throughout these years, there is still a great interest in accelerating morphological operations in order for them to be implemented in…
Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, Jefersson A. dos Santos
—The recent impressive results of deep learning-based methods on computer vision applications brought fresh air to the research and industrial community. This success is mainly due to the process that allows those methods to learn data-driven features, generally based upon linear operations. However, in some scenarios…
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…
Loan Vulliard, Joel Hancock, Anton Kamnev, Christopher W. Fell + 5 more
High-content imaging screens provide a cost-effective and scalable way to assess cell states across diverse experimental conditions. The analysis of the acquired microscopy images involves assembling and curating morphological measurements of individual cells into morphological profiles suitable for testing biological…
Alexandr A. Kalinin, Ari Allyn-Feuer, Alex Ade, Gordon-Victor Fon + 14 more
Quantitative analysis of morphological changes in a cell nucleus is important for understanding of nuclear architecture and their relationship with pathological conditions such as cancer. However, dimensionality of imaging data, together with a great variability of nuclear shapes present challenges for 3D morphological…
Erik J. Amézquita, Michelle Y. Quigley, Tim Ophelders, Jacob B. Landis + 3 more
Shape plays a fundamental role in biology. Traditional phenotypic analysis methods measure some features but fail to measure the information embedded in shape comprehensively. To extract, compare, and analyze this information embedded in a robust and concise way, we turn to Topological Data Analysis (TDA), specifically…
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…
Abigail Dommer, Nicholas Wauer, Kyle Angle, Aakash Davasam + 6 more
Sea spray aerosol (SSA) ejected through bursting bubbles at the ocean surface are complex mixtures of salts and organic species. Composition affects their ability to form marine clouds which cover nearly three-quarters of the Earth and play a critical role in the climate system. Submicron SSA particles have long…