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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.
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.
Extensive data warehouse system for the analysis and integration of biological datasets written in Java and JavaScript Cross-platform: LGPL: University of Cambridge: LabKey Server: Software platform, allows organizations to integrate, analyze, and share complex biomedical data Linux, macOS, Windows: Apache: LabKey Software Foundation LAMMPS
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 biological basis of personality is a collection of brain systems and mechanisms that underlie human personality. Human neurobiology , especially as it relates to complex traits and behaviors, is not well understood, but research into the neuroanatomical and functional underpinnings of personality are an active field of research.
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]
Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator).
A 'second wave' connectionist (ANN) model with a hidden layer. Connectionism is an approach to the study of human mental processes and cognition that utilizes mathematical models known as connectionist networks or artificial neural networks.