About: The Overfitted Brain: Dreams evolved to assist generalization

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	The Overfitted Brain: Dreams evolved to assist generalization
Creator	Hoel, Erik
source	ArXiv
abstract	Understanding of the evolved biological function of NREM and slow wave sleep has advanced considerably in the past decade. However, no equivalent understanding of REM sleep and dreams has emerged. Contemporary neuroscientific theories generally view dreams as epiphenomena, and the few proposals for their biological function are contradicted by the phenomenology of dreams themselves. Now, the recent advent of deep neural networks (DNNs) has finally provided the novel conceptual framework within which to understand the evolved function of dreams. Notably, all DNNs face the issue of overfitting as they learn, which is when performance on one data set increases but the network's performance fails to generalize (often measured by the divergence of performance on training vs testing data sets). This ubiquitous problem in DNNs is often solved by experimenters via%22noise injections%22in the form of noisy or corrupted inputs. The goal of this paper is to argue that the brain faces a similar challenge of overfitting, and that nightly dreams evolved to combat the brain's overfitting during its daily learning. That is, dreams are a biological mechanism for increasing generalizability. Sleep loss, specifically dream loss, leads to an overfitted brain that can still memorize and learn but fails to generalize appropriately. Herein this%22overfitted brain hypothesis%22is explicitly developed and then compared and contrasted with existing contemporary neuroscientific theories of dreams. Existing evidence for the hypothesis is surveyed within both neuroscience and deep learning, and a set of testable predictions are put forward that can be pursued both in vivo and in silico.
has issue date	2020-07-19(xsd:dateTime)
has license	arxiv
sha1sum (hex)	acdd7d690e7c72816ccc9ed6d17a0be9ccf74fd5
resource representing a document's title	The Overfitted Brain: Dreams evolved to assist generalization
resource representing a document's body	covid:acdd7d690e7c72816ccc9ed6d17a0be9ccf74fd5#body_text
is schema:about of	named entity 'function' named entity 'dreams' named entity 'data set' named entity 'problem' named entity 'biological function' »more»

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