Cognitive neuroscience is the scientific field that is concerned with the study of the biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes. It addresses the questions of how cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology and affective neuroscience. Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and computational modeling.
Connectionism is the name of an approach to the study of human mental processes and cognition that utilizes mathematical models known as connectionist networks or artificial neural networks. Connectionism has had many 'waves' since its beginnings.
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.
James Lloyd "Jay" McClelland, FBA is the Lucie Stern Professor at Stanford University, where he was formerly the chair of the Psychology Department. He is best known for his work on statistical learning and Parallel Distributed Processing, applying connectionist models to explain cognitive phenomena such as spoken word recognition and visual word recognition. McClelland is to a large extent responsible for the large increase in scientific interest in connectionism in the 1980s.
Michael Tomasello is an American developmental and comparative psychologist, as well as a linguist. He is professor of psychology at Duke University.
Dedre Dariel Gentner is an American cognitive and developmental psychologist. She is the Alice Gabriel Twight Professor of Psychology at Northwestern University, and a leading researcher in the study of analogical reasoning.
Computational cognition is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. In psychology, it is an approach which develops computational models based on experimental results. It seeks to understand the basis behind the human method of processing of information. Early on computational cognitive scientists sought to bring back and create a scientific form of Brentano's psychology.
Linda B. Smith is an American developmental psychologist internationally recognized for her theoretical and empirical contributions to developmental psychology and cognitive science, proposing, through theoretical and empirical studies, a new way of understanding developmental processes. Smith's works are groundbreaking and illuminating for the field of perception, action, language, and categorization, showing the unique flexibility found in human behavior. She has shown how perception and action are ways of obtaining knowledge for cognitive development and word learning.
David Everett Rumelhart was an American psychologist who made many contributions to the formal analysis of human cognition, working primarily within the frameworks of mathematical psychology, symbolic artificial intelligence, and parallel distributed processing. He also admired formal linguistic approaches to cognition, and explored the possibility of formulating a formal grammar to capture the structure of stories.
John Robert Anderson is a Canadian-born American psychologist. He is currently professor of Psychology and Computer Science at Carnegie Mellon University.
Richard Shiffrin is an American psychologist, professor of cognitive science in the Department of Psychological and Brain Sciences at Indiana University, Bloomington. Shiffrin has contributed a number of theories of attention and memory to the field of psychology. He co-authored the Atkinson–Shiffrin model of memory in 1968 with Richard Atkinson, who was his academic adviser at the time. In 1977, he published a theory of attention with Walter Schneider. With Jeroen G.W. Raaijmakers in 1980, Shiffrin published the Search of Associative Memory (SAM) model, which has served as the standard model of recall for cognitive psychologists well into the 2000s. He extended the SAM model with the Retrieving Effectively From Memory (REM) model in 1997 with Mark Steyvers.
The Cognitive Science Society is a professional society for the interdisciplinary field of cognitive science. It brings together researchers from many fields who hold the common goal of understanding the nature of the human mind. The society promotes scientific interchange among researchers in disciplines comprising the field of cognitive science, including artificial intelligence, linguistics, anthropology, psychology, neuroscience, philosophy, and education. The Society is a member of the Federation of Associations in Behavioral & Brain Sciences.
Susan E. Carey is an American psychologist who is a Professor of Psychology at Harvard University. She studies language acquisition, children's development of concepts, conceptual changes over time, and the importance of executive functions. She has conducted experiments on infants, toddlers, adults, and non-human primates. Her books include Conceptual Change in Childhood (1985) and The Origin of Concepts (2009).
Susan Goldin-Meadow is the Beardsley Ruml Distinguished Service Professor in the Departments of Psychology, Comparative Human Development, the college, and the Committee on Education at the University of Chicago. She is the principal investigator of a 10-year program project grant, funded by the National Institute of Child Health and Human Development, designed to explore the impact of environmental and biological variation on language growth. She is also a co-PI of the Spatial Intelligence and Learning Center (SILC), one of six Science of Learning Centers funded by the National Science Foundation to explore learning in an interdisciplinary framework with an eye toward theory and application. She is the founding editor of Language Learning and Development, the official journal of the Society for Language Development. She was President of the International Society for Gesture Studies from 2007–2012.
The Troland Research Awards are an annual prize given by the United States National Academy of Sciences to two researchers in recognition of psychological research on the relationship between consciousness and the physical world. The areas where these award funds are to be spent include but are not limited to areas of experimental psychology, the topics of sensation, perception, motivation, emotion, learning, memory, cognition, language, and action. The award preference is given to experimental work with a quantitative approach or experimental research seeking physiological explanations.
Robert J. Glushko is an adjunct professor at the University of California Berkeley School of Information. He has written a number of books including Document Engineering (2005) and The Discipline of Organizing (2013).
Laura E. Schulz is a professor of cognitive science at the brain and cognitive sciences department of the Massachusetts Institute of Technology. She is the principal investigator of the Early Childhood Cognition Lab at MIT. Schulz is known for her work on the early childhood development of cognition, causal inference, discovery, and learning.
Michelene (Micki) T. H. Chi is a cognitive and learning scientist known for her work on the development of expertise, benefits of self-explanations, and active learning in the classroom. Chi is the Regents Professor, Dorothy Bray Endowed Professor of Science and Teaching at Arizona State University, where she directs the Learning and Cognition Lab.
Thomas L. Griffiths is an Australian academic who is the Henry R. Luce Professor of Information Technology, Consciousness, and Culture at Princeton University. He studies human decision-making and its connection to problem-solving methods in computation. His book with Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions, was named one of the "Best Books of 2016" by MIT Technology Review.
Bayesian learning mechanisms are probabilistic causal models used in computer science to research the fundamental underpinnings of machine learning, and in cognitive neuroscience, to model conceptual development.
