Vision: a computational investigation into the human representation and processing of visual information

The held works cite Marr as the source of a multi-level framework for analysing information processing in the nervous system: the computational task, the algorithms and representations, and the physical implementation. Katz and Springer use the three levels to structure their account of microbial adaptation as probabilistic inference, with particle filtering as the algorithm and a protein circuit as the implementation. Levin applies Marr's taxonomy to controlling body form through bioelectric networks, by analogy with neuroscience.

Progress on these questions requires analysis at multiple levels of abstraction, as outlined by Marr (1982) for information-processing in the nervous system.

Katz Y, Springer M, 2016 · Probabilistic adaptation in changing microbial environments · open at passage 3

Together, this gives an outline of a three-level analysis, following Marr’s framework (Marr, 1982), of microbial growth in complex environments.

Katz Y, Springer M, 2016 · Probabilistic adaptation in changing microbial environments · open at passage 73

applying Marr’s (Marr 1982; Peebles and Cooper 2015) taxonomy to control of body form just as neuroscience addresses the problems of behavior at levels from that of synaptic proteins to psychiatric therapies

Levin M, 2023 · Bioelectric networks: the cognitive glue enabling evolutionary… · open at passage 52