Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Robust-fit to nature: an evolutionary perspective on biological (and artificial) neural networks

View ORCID ProfileUri Hasson, View ORCID ProfileSamuel A. Nastase, Ariel Goldstein
doi: https://doi.org/10.1101/764258
Uri Hasson
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
2Department of Psychology, Princeton University, Princeton, NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Uri Hasson
  • For correspondence: hasson@princeton.edu
Samuel A. Nastase
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Samuel A. Nastase
Ariel Goldstein
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article usage

Article usage: October 2019 to January 2023

AbstractFullPdf
Oct 2019683149436
Nov 201955567184
Dec 201917272151
Jan 20201874480
Feb 20209824791064
Mar 2020166182111
May 2020143114144
Jun 2020653158311
Jul 2020202134142
Aug 202017510060
Sep 20201397292
Oct 2020979852
Nov 2020987355
Dec 2020905871
Jan 202114656126
Feb 2021825770
Mar 20211457347
Apr 2021875545
May 20211402251
Jun 2021703223
Jul 20212183959
Aug 2021422018
Sep 2021474330
Oct 2021609118
Nov 2021382620
Dec 2021311514
Jan 2022362710
Feb 202236129
Mar 202225714
Apr 2022472313
May 2022281912
Jun 202229916
Jul 2022321912
Aug 2022481218
Sep 2022252114
Oct 2022361213
Nov 20221301223
Dec 202221923
Jan 202371319
Back to top
PreviousNext
Posted September 10, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Robust-fit to nature: an evolutionary perspective on biological (and artificial) neural networks
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Robust-fit to nature: an evolutionary perspective on biological (and artificial) neural networks
Uri Hasson, Samuel A. Nastase, Ariel Goldstein
bioRxiv 764258; doi: https://doi.org/10.1101/764258
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Robust-fit to nature: an evolutionary perspective on biological (and artificial) neural networks
Uri Hasson, Samuel A. Nastase, Ariel Goldstein
bioRxiv 764258; doi: https://doi.org/10.1101/764258

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4105)
  • Biochemistry (8808)
  • Bioengineering (6509)
  • Bioinformatics (23446)
  • Biophysics (11784)
  • Cancer Biology (9198)
  • Cell Biology (13314)
  • Clinical Trials (138)
  • Developmental Biology (7430)
  • Ecology (11402)
  • Epidemiology (2066)
  • Evolutionary Biology (15142)
  • Genetics (10430)
  • Genomics (14036)
  • Immunology (9167)
  • Microbiology (22142)
  • Molecular Biology (8802)
  • Neuroscience (47534)
  • Paleontology (350)
  • Pathology (1427)
  • Pharmacology and Toxicology (2489)
  • Physiology (3729)
  • Plant Biology (8076)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2220)
  • Systems Biology (6036)
  • Zoology (1252)