دورية أكاديمية
أعرض في EDS

Optimal prediction with resource constraints using the information bottleneck.

التفاصيل البيبلوغرافية
العنوان: Optimal prediction with resource constraints using the information bottleneck.
المؤلفون: Sachdeva V; Graduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois, United States of America., Mora T; Laboratoire de physique de l'École normale supérieure, Centre National de la Recherche Scientifique, Paris, France.; Paris Sciences et Lettres University Paris, Paris, France.; Sorbonne Université Paris, Paris, France.; Université de Paris, Paris, France., Walczak AM; Laboratoire de physique de l'École normale supérieure, Centre National de la Recherche Scientifique, Paris, France.; Paris Sciences et Lettres University Paris, Paris, France.; Sorbonne Université Paris, Paris, France.; Université de Paris, Paris, France., Palmer SE; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, Illinois, United States of America.; Department of Physics, University of Chicago, Chicago, Illinois, United States of America.
المصدر: PLoS computational biology [PLoS Comput Biol] 2021 Mar 08; Vol. 17 (3), pp. e1008743. Date of Electronic Publication: 2021 Mar 08 (Print Publication: 2021).
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science, [2005]-
مواضيع طبية MeSH: Computational Biology* , Models, Biological* , Models, Statistical*, Biological Evolution ; Environment ; Gene Frequency ; Genetics, Population ; Movement
مستخلص: Responding to stimuli requires that organisms encode information about the external world. Not all parts of the input are important for behavior, and resource limitations demand that signals be compressed. Prediction of the future input is widely beneficial in many biological systems. We compute the trade-offs between representing the past faithfully and predicting the future using the information bottleneck approach, for input dynamics with different levels of complexity. For motion prediction, we show that, depending on the parameters in the input dynamics, velocity or position information is more useful for accurate prediction. We show which motion representations are easiest to re-use for accurate prediction in other motion contexts, and identify and quantify those with the highest transferability. For non-Markovian dynamics, we explore the role of long-term memory in shaping the internal representation. Lastly, we show that prediction in evolutionary population dynamics is linked to clustering allele frequencies into non-overlapping memories.
Competing Interests: The authors have declared that no competing interests exist.
References: Nat Commun. 2019 Aug 8;10(1):3573. (PMID: 31395868)
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Feb;81(2 Pt 1):021103. (PMID: 20365526)
Phys Rev Lett. 2009 Sep 25;103(13):138101. (PMID: 19905542)
Neural Comput. 2006 Aug;18(8):1739-89. (PMID: 16771652)
Biophys J. 1977 Nov;20(2):193-219. (PMID: 911982)
Phys Rev Lett. 1994 Aug 8;73(6):814-817. (PMID: 10057546)
Neural Comput. 1997 May 15;9(4):721-63. (PMID: 9161021)
Neuron. 2011 Oct 6;72(1):178-87. (PMID: 21982378)
PLoS Pathog. 2017 Nov 20;13(11):e1006702. (PMID: 29155894)
Proc Natl Acad Sci U S A. 2019 Apr 30;116(18):8815-8823. (PMID: 30988203)
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Apr;83(4 Pt 1):041103. (PMID: 21599111)
Nature. 1996 Jun 13;381(6583):607-9. (PMID: 8637596)
J Opt Soc Am A Opt Image Sci Vis. 2003 Jul;20(7):1434-48. (PMID: 12868647)
Nucleic Acids Res. 2009 Jan;37(Database issue):D291-4. (PMID: 18931377)
Proc Natl Acad Sci U S A. 2018 Jan 2;115(1):186-191. (PMID: 29259111)
Proc R Soc Lond B Biol Sci. 1982 Nov 22;216(1205):427-59. (PMID: 6129637)
Syst Biol. 2017 Jan 1;66(1):e30-e46. (PMID: 28173553)
Z Naturforsch C Biosci. 1981 Sep-Oct;36(9-10):910-2. (PMID: 7303823)
Nature. 2014 Mar 6;507(7490):57-61. (PMID: 24572367)
Proc Natl Acad Sci U S A. 1945 Dec;31(12):382-9. (PMID: 16588707)
Nat Neurosci. 1999 Jan;2(1):79-87. (PMID: 10195184)
Vision Res. 1997 Dec;37(23):3385-98. (PMID: 9425551)
Cell. 2015 Feb 12;160(4):785-797. (PMID: 25662010)
PLoS One. 2014 May 06;9(5):e96333. (PMID: 24800820)
Cell Syst. 2019 Nov 27;9(5):459-465.e6. (PMID: 31563474)
Neural Comput. 2001 Nov;13(11):2409-63. (PMID: 11674845)
Proc Natl Acad Sci U S A. 2015 Jun 2;112(22):6908-13. (PMID: 26038544)
Cell Host Microbe. 2018 Apr 11;23(4):435-446. (PMID: 29649440)
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Apr;81(4 Pt 1):041905. (PMID: 20481751)
Proc Natl Acad Sci U S A. 2018 Jan 30;115(5):1105-1110. (PMID: 29348208)
Immunol Rev. 1989 Aug;110:5-36. (PMID: 2477327)
Proc Natl Acad Sci U S A. 2020 Jun 9;117(23):12693-12699. (PMID: 32457160)
Proc Natl Acad Sci U S A. 2015 May 12;112(19):5950-5. (PMID: 25918407)
معلومات مُعتمدة: R01 EB026943 United States EB NIBIB NIH HHS; T32 EB009412 United States EB NIBIB NIH HHS
تواريخ الأحداث: Date Created: 20210308 Date Completed: 20210726 Latest Revision: 20240331
رمز التحديث: 20240331
مُعرف محوري في PubMed: PMC7971903
DOI: 10.1371/journal.pcbi.1008743
PMID: 33684112
قاعدة البيانات: MEDLINE
الوصف
تدمد:1553-7358
DOI:10.1371/journal.pcbi.1008743