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Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing relates to artificial intelligence and machine learning.
In 2021, a team led by biophysicist Sangram Bagh realized a study with E. coli to solve 2 x 2 maze problems to probe the principle for distributed computing among cells. [10] [11] In 2024, FinalSpark, a Swiss biocomputing startup, launched an online platform enabling global researchers to conduct experiments remotely on biological neurons in vitro.
Biocomputing may refer to: Biological computing, systems of biologically derived molecules that perform computational processes DNA computing, a form of biological computing that uses DNA; Bioinformatics, the application of statistics and computer science to the field of molecular biology
The concept of biological computation proposes that living organisms perform computations, and that as such, abstract ideas of information and computation may be key to understanding biology.
Perhaps the best-known example of computational biology, the Human Genome Project, officially began in 1990. [4] By 2003, the project had mapped around 85% of the human genome, satisfying its initial goals. [5] Work continued, however, and by 2021 level " a complete genome" was reached with only 0.3% remaining bases covered by potential issues.
Computational cognition (sometimes referred to as computational cognitive science or computational psychology or cognitive simulation) 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 ...
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.
Electronic devices such as robots are increasingly able to mimic human emotion. Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects.