By Lucia M. Vaina, Richard E. Passingham
Within the past due Sixties and early Seventies David Marr produced 3 dazzling papers during which he gave a close account of the way the nice constitution and identified mobilephone varieties of the cerebellum, hippocampus and neocortex practice the services that they do. Marr went directly to turn into one of many major founders of Computational Neuroscience. In his vintage paintings 'Vision' he exclusive among the computational, algorithmic, and implementational degrees, and the 3 early theories involved implementation. notwithstanding, they have been produced whilst Neuroscience used to be in its infancy.
Now that much more is understood, it truly is well timed to revisit those early theories to determine to what quantity they're nonetheless legitimate and what should be altered to supply attainable theories that withstand present facts.
This publication brings jointly probably the most exotic scientists of their fields to judge Marr's legacy. After a common advent there are 3 chapters at the cerebellum, 3 at the hippocampus and at the neocortex. The publication ends with an appreciation of the lifetime of David Marr via Lucia Vaina.
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Extra resources for Computational Theories and their Implementation in the Brain: The legacy of David Marr
Neuron. 78:1127–1137. Antzoulatos EG, Miller EK. (2011). Differences between neural activity in prefrontal cortex and striatum during learning of novel abstract categories. Neuron. 71:243–249. Avants BB, Schoenemann PT, Gee JC. (2006). Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex. Med Image Anal. 10:397–412. Averbeck BB, Lehman J, Jacobson M, Haber SN. (2014). Estimates of projection overlap and zones of convergence within frontal-striatal circuits.
Middleton FA, Strick PL. (2001). Cerebellar projections to the prefrontal cortex of the primate. J Neurosci. 21:700–712. Milner B. (1959). The memory defect in bilateral hippocampal lesions. Psychiatric Res Rep 11:43–58. Moberget T, Gullesen EH, Andersson S, Ivry RB, Endestad T. (2014). Generalized role for the cerebellum in encoding internal models: evidence from semantic processing. J Neurosci. 34:2871–2878. Morris R, Pandya DN, Petrides M. (1999). Fiber system linking the mid-dorsolateral frontal cortex with the retrosplenial/presubicular region in the rhesus monkey.
2002) provides a computational basis for Buonomano–â•‰Mauk’s random projection model of the cerebellum introduced above (Yamazaki and Tanaka, 2007a). 4 GC activity patterns in LSM. (A) Activity patterns in four MFs remain unchanged with time. (B) Corresponding GC activity patterns, which, with time (t1, t2, t3, and t4), gradually change to different patterns. (C) Monotonic decrease in correlation coefficient C of GC activity patterns with time. g. t1t ). Abscissa: time. pattern of ripples produced by a stone falling into a still water surface.
Computational Theories and their Implementation in the Brain: The legacy of David Marr by Lucia M. Vaina, Richard E. Passingham