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John Terrence Cacioppo (June 12, 1951 – March 5, 2018) was the Tiffany and Margaret Blake Distinguished Service Professor at the University of Chicago. [1] He founded the University of Chicago Center for Cognitive and Social Neuroscience and was the director of the Arete Initiative of the Office of the Vice President for Research and National Laboratories at the University of Chicago. [1]
This field of study has its historical roots in numerous disciplines including machine learning, experimental psychology and Bayesian statistics.As early as the 1860s, with the work of Hermann Helmholtz in experimental psychology, the brain's ability to extract perceptual information from sensory data was modeled in terms of probabilistic estimation.
Behavioral neuroscience, also known as biological psychology, [1] biopsychology, or psychobiology, [2] is part of the broad, interdisciplinary field of neuroscience, with its primary focus being on the biological and neural substrates underlying human experiences and behaviors, as in our psychology.
The increase in biological publications increased the difficulty in searching and compiling relevant available information on a given topic. This task is known as knowledge extraction. It is necessary for biological data collection which can then in turn be fed into machine learning algorithms to generate new biological knowledge.
Neuropsychology is a branch of psychology concerned with how a person's cognition and behavior are related to the brain and the rest of the nervous system.Professionals in this branch of psychology focus on how injuries or illnesses of the brain affect cognitive and behavioral functions.
One of the essential issues in developmental psychobiology is the Morphology problem of proper nervous system development. This direction of research attempts to explain the precise coordination of all cells in space and time during embryological processes of cells and tissue differentiation for the shaping of the particular nervous system structure.
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HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world. CoJACK An ACT-R inspired extension to the JACK multi-agent system that adds a cognitive architecture to the agents for eliciting more realistic (human-like) behaviors in virtual ...