Debating Contemporary Approaches to the History of Science explores the main themes, problems and challenges currently at the top of the discipline's methodological agenda. In its chapters, established and emerging scholars introduce and discuss new approaches to the history of science and revisit older perspectives which remain crucial. Each chapter is followed by a critical commentary from another scholar in the field and the author's response. The volume looks at such topics as the importance of the 'global', 'digital', 'environmental', and 'posthumanist' turns for the history of science, and the possibilities for the field of moving beyond a focus on ideas and texts towards active engagement with materials and practices. It also addresses important issues about the relationship between history of science, on the one hand, and philosophy of science, history of knowledge and ignorance studies, on the other. With its innovative format, this volume provides an up-to-date, authoritative overview of the field, and also explores how and why the history of science is practiced. It is essential reading for students and scholars eager to keep a finger on the pulse of what is happening in the history of science today, and to contribute to where it might go next.

This book examines how evolution influences learning and memory processes in both human and nonhuman animals.

Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.

Advances in Insect Physiology, Volume 57, provides readers with the latest interdisciplinary reviews on the topic. It is an essential reference source for invertebrate physiologists, neurobiologists, entomologists, zoologists and insect chemists, with this new release focusing on the Ecology and evolution of social insect cognition, Fly foregut and transmission of microbes, and Hormonal regulation of insect feeding behaviors, among other topics.

Common-sense morality implicitly assumes that reasonably clear distinctions can be drawn between the full moral status that is usually attributed to ordinary adult humans, the partial moral status attributed to non-human animals, and the absence of moral status, which is usually ascribed to machines and other artifacts. These implicit assumptions have long been challenged, and are now coming under further scrutiny as there are beings we have recently become able to create, as well as beings that we may soon be able to create, which blur the distinctions between human, non-human animal, and non-biological beings. These beings include non-human chimeras, cyborgs, human brain organoids, post-humans, and human minds that have been uploaded into computers and onto the internet and artificial intelligence. It is far from clear what moral status we should attribute to any of these beings. There are a number of ways we could respond to the new challenges these technological developments raise: we might revise our ordinary assumptions about what is needed for a being to possess full moral status, or reject the assumption that there is a sharp distinction between full and partial moral status. This volume explores such responses, and provides a forum for philosophical reflection about ordinary presuppositions and intuitions about moral status.

A rigorous and scientific analysis of the myriad possibilities of life beyond our planet. “Are we alone in the universe?” This tantalizing question has captivated humanity over millennia, but seldom has it been approached rigorously. Today the search for signatures of extraterrestrial life and intelligence has become a rapidly advancing scientific endeavor. Missions to Mars, Europa, and Titan seek evidence of life. Laboratory experiments have made great strides in creating synthetic life, deepening our understanding of conditions that give rise to living entities. And on the horizon are sophisticated telescopes to detect and characterize exoplanets most likely to harbor life. Life in the Cosmos offers a thorough overview of the burgeoning field of astrobiology, including the salient methods and paradigms involved in the search for extraterrestrial life and intelligence. Manasvi Lingam and Avi Loeb tackle three areas of interest in hunting for life “out there”: first, the pathways by which life originates and evolves; second, planetary and stellar factors that affect the habitability of worlds, with an eye on the biomarkers that may reveal the presence of microbial life; and finally, the detection of technological signals that could be indicative of intelligence. Drawing on empirical data from observations and experiments, as well as the latest theoretical and computational developments, the authors make a compelling scientific case for the search for life beyond what we can currently see. Meticulous and comprehensive, Life in the Cosmos is a master class from top researchers in astrobiology, suggesting that the answer to our age-old question is closer than ever before.

Visual cognition is an important area of biocybernetics. It ranges from the filtering processes of early vision to the structural and functional organization of the visual centres, as well as, in higher animals, to the neuronal plasticity, the decision-making rules, the effect of noise, the role of attention, the ambiguity of patterns, and the time dimension. All these factors contribute to the cognitive interpretation of visual sensation that takes place in visual perception. A side field is machine vision, in which the signal processing known from animal vision is applied to the mobile robots responding to light stimulation.

Animal groups often display striking collective organization, which relies on social interactions. These interactions require neural substrates supporting the exchange of information among individuals and the processing of this information. The social brain hypothesis, suggested from neuroanatomical findings in primates, posits that increasing levels of sociality involve a higher investment in neural tissue to cope with social information. However, distributed cognition and swarm intelligence might alleviate the cognitive load on the individuals, and potentially reduce their neural requirements. Research on social insects, which are an exemplar of collective action, has so far produced mixed results. Individual cognition and collective action have received a lot of attention, and much progress has been done in each of those fields; however, much less is understood about how the two interact. Our goal is to aggregate theoretical and experimental research exploring the links between the complexity of individual and collective behaviors. Experimental research testing the social brain hypothesis showed little support for a general explanation across the animal kingdom. The relationship between the cognitive abilities of animals and their social interactions are much more complex than previously thought, and tackling this problem requires a better knowledge of the fundamental mechanisms underpinning socio-cognitive tasks. What is the information used by the animals during social interactions? How much information is necessary? How many neurons and which neural circuits are required for processing this information? What neural connections are important? Do these social interactions involve memory formation? How do the cognitive requirements and neural circuits vary between group members? Answering these questions will bring considerable insights into the cognitive complexity involved for social and collective behaviors. It will also advance our understanding of inter-individual cognitive variability and division of labor in most socially advanced species. This Research Topic will be a unique forum for researchers from different fields (neurogenetics, neuro-ethology, evolutionary ecology, cognitive ecology, collective animal behavior, computational modeling) working on different species to present up to date advances on the physiological correlates of social behavior and delineate future directions for the field of social neuroethology. We welcome contributions on any aspect of the cognitive requirements of social and collective behaviors, from molecular, cellular, and circuit level approaches to how individuals contribute to group action at the behavioral level. Specific areas of interest include, but are not limited to, studies on the neural underpinnings of division of labor, neuromodulation or neurogenetics of social behaviors, the neural circuits and neuroanatomical basis of group action, and how social signals affect learning and behavior. We encourage submissions that present original research and review evidence or compare data from multiple species. We hope to include work from different disciplines and on a wide range of species, including model, non-model, and wild animals, with the aim of gaining insight into the patterns of neural investment in individual cognition

Discusses how plant-based chemicals affect and interact with the human brain and its evolution.