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Neuroscience Needs Behavior, and Literary Behavior is Among the Richest There is

By Bbenzon @bbenzon
Not only that, but it leaves records of its unfolding in the form of texts. Our task is to "reverse engineer" the activity by analyzing the texts. Something more easily said than done. My most recent attempt: Calculating meaning in " Kubla Khan " – a rough cut (Version 2).
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Neuron. 2017 Feb 8;93(3):480-490. doi: 10.1016/j.neuron.2016.12.041.

Neuroscience Needs Behavior: Correcting a Reductionist Bias.

Krakauer JW1Ghazanfar AA2Gomez-Marin A3MacIver MA4Poeppel D5.

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There are ever more compelling tools available for neuroscience research, ranging from selective genetic targeting to optogenetic circuit control to mapping whole connectomes. These approaches are coupled with a deep-seated, often tacit, belief in the reductionist program for understanding the link between the brain and behavior. The aim of this program is causal explanation through neural manipulations that allow testing of necessity and sufficiency claims. We argue, however, that another equally important approach seeks an alternative form of understanding through careful theoretical and experimental decomposition of behavior. Specifically, the detailed analysis of tasks and of the behavior they elicit is best suited for discovering component processes and their underlying algorithms. In most cases, we argue that study of the neural implementation of behavior is best investigated after such behavioral work. Thus, we advocate a more pluralistic notion of neuroscience when it comes to the brain-behavior relationship: behavioral work provides understanding, whereas neural interventions test causality.
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In my 1978 dissertation, Cognitive Science and Literary Theory, I asserted that the project of cognitive science was to investigate a five-way correspondence between: 1) neuroanatomy (micro and macro), 2) behavior, 3) computation 4) ontogeny, and 5) phylogeny. Of course, that's not so much cognitive science as it is psychology, and I knew it at the time.

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