John Reynolds | |
---|---|
Nationality | American |
Organization | Salk Institute for Biological Studies |
Known for | Neuroscience research |
Title | Professor |
Awards | American Association for the Advancement of Science Fellow |
John Reynolds is an American neuroscientist. He is a professor at the Salk Institute for Biological Studies, [1] adjunct professor at University of California, San Diego, [2] and member of the advisory board for the Kavli Foundation (United States) Kavli Institute for the Brain and Mind. [3] He studies perception and vision and is known for developing a computational model of attention that scientists use as a framework for understanding how the brain performs attentional selection. [4]
John Reynolds received his bachelor's of science in economics from the University of Pennsylvania, and then completed his doctoral studies in cognitive and neural systems at Boston University. He then joined the National Institute of Mental Health as an Intramural Research Fellow in their Laboratory of Neuropsychology. [1]
After his fellowship at the National Institute of Mental Health, John Reynolds joined the Salk Institute for Biological Studies as an assistant professor in the Systems Neurobiology Laboratory in 2000. [1]
Currently, John Reynolds runs a lab at the Salk Institute for Biological Studies, where he works on developing models of the visual system, perception, and consciousness. [1] In his time at the Institute, he has made several landmark discoveries in his field:
John Reynolds' more recent work focuses on aging and Alzheimer's disease, like his 2023 study detailing how the failure of mitochondria to produce sufficient energy in brain synapses may cause age-related cognitive decline. [12] [13] He is also working on new tools for studying neurons with Mark Schnitzer at Stanford University and looking more at the aging brain with Salk Institute for Biological Studies colleague Fred Gage.
John Reynolds has also participated in artistic collaborations, including serving on the board of the non-profit art project A SHIP IN THE WOODS [14] and supporting David Byrne's immersive optical illusion show "Theater of the Mind." [15]
Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology. The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. One of the fundamental concepts of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."
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A neuroscientist is a scientist who has specialised knowledge in neuroscience, a branch of biology that deals with the physiology, biochemistry, psychology, anatomy and molecular biology of neurons, neural circuits, and glial cells and especially their behavioral, biological, and psychological aspect in health and disease.
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Jeffrey Locke Elman was an American psycholinguist and professor of cognitive science at the University of California, San Diego (UCSD). He specialized in the field of neural networks.
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Vittorio Gallese is professor of Psychobiology at the University of Parma, Italy, and was professor in Experimental Aesthetics at the University of London, UK (2016–2018). He is an expert in neurophysiology, cognitive neuroscience, social neuroscience, and philosophy of mind. Gallese is one of the discoverers of mirror neurons. His research attempts to elucidate the functional organization of brain mechanisms underlying social cognition, including action understanding, empathy, language, mindreading and aesthetic experience.
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In neuroscience, predictive coding is a theory of brain function which postulates that the brain is constantly generating and updating a "mental model" of the environment. According to the theory, such a mental model is used to predict input signals from the senses that are then compared with the actual input signals from those senses. Predictive coding is member of a wider set of theories that follow the Bayesian brain hypothesis.
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