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Computational Theories and their Implementation in the by Lucia M. Vaina, Richard E. Passingham

By Lucia M. Vaina, Richard E. Passingham

Within the past due Nineteen Sixties and early Seventies David Marr produced 3 magnificent papers within which he gave a close account of ways the high-quality constitution and identified mobilephone kinds of the cerebellum, hippocampus and neocortex practice the services that they do. Marr went directly to develop into one of many major founders of Computational Neuroscience. In his vintage paintings 'Vision' he exotic among the computational, algorithmic, and implementational degrees, and the 3 early theories involved implementation. even though, they have been produced while Neuroscience used to be in its infancy.

Now that a lot more is understood, it really is well timed to revisit those early theories to work out to what volume they're nonetheless legitimate and what should be altered to supply plausible theories that withstand present facts.

This e-book brings jointly probably the most exotic scientists of their fields to guage Marr's legacy. After a basic creation there are 3 chapters at the cerebellum, 3 at the hippocampus and at the neocortex. The e-book ends with an appreciation of the lifetime of David Marr by means of Lucia Vaina.

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Computational Theories and their Implementation in the Brain: The legacy of David Marr

Within the past due Sixties and early Seventies David Marr produced 3 astounding papers within which he gave a close account of ways the advantageous constitution and identified phone forms of the cerebellum, hippocampus and neocortex practice the features that they do. Marr went directly to develop into one of many major founders of Computational Neuroscience.

Extra info for Computational Theories and their Implementation in the Brain: The legacy of David Marr

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Cereb Cortex. 16:1631–​1644. Gibo TL, Criscimagna-​Hemminger SE, Okamura AM, Bastian AJ. (2013). Cerebellar motor learning: are environment dynamics more important than error size? J Neurophysiol. 110:322–​333. Glascher J, Hampton AN, O’Doherty JP. (2009). Determining a role for ventromedial prefrontal cortex in encoding action-​based value signals during reward-​related decision making. Cereb Cortex. 19:483–​495. Glickstein M, Doron K. (2008). Cerebellum: connections and functions. Cerebellum.

The theory would only be shown to be false if it turned out that the hippocampus was not a storage device at all or if it could classify in the same way as the neocortex. , 2007). However, this is easily accommodated if we suppose that the common factor is the ability to “experience” the event, whether imagining the future or re-╉experiencing the past. Neocortex Marr (1970) proposed that the neocortex could form classificatory units. But this is not the same as saying that the function of the neocortex is to classify.

2008). , 2007). Conclusions The challenge is now to produce theories at Marr’s algorithmic and implementation level that are of sufficient detail that they can only be true if the function of the structure is indeed as assumed. Furthermore, it would be helpful if future implementations adopted the starring system, as devised by Marr. This will make it clear what a particular theory predicts that no other theory predicts. It is one thing to propose that an implementation that is consistent with the data, another to show that it and no other theory is the correct one.

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