Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law
It has been previously shown (Namboodiri, Mihalas, Marton, & Hussain Shuler, ) that an evolutionary theory of decision making and time perception is capable of explaining numerous behavioral observations regarding how humans and animals decide between differently delayed rewards of differing mag...
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creator | Namboodiri, Vijay Mohan K. Mihalas, Stefan Hussain Shuler, Marshall G. |
description | It has been previously shown (Namboodiri, Mihalas, Marton, & Hussain Shuler,
) that an evolutionary theory of decision making and time perception is capable of explaining numerous behavioral observations regarding how humans and animals decide between differently delayed rewards of differing magnitudes and how they perceive time. An implementation of this theory using a stochastic drift-diffusion accumulator model (Namboodiri, Mihalas, & Hussain Shuler,
) showed that errors in time perception and decision making approximately obey Weber’s law for a range of parameters. However, prior calculations did not have a clear mechanistic underpinning. Further, these calculations were only approximate, with the range of parameters being limited. In this letter, we provide a full analytical treatment of such an accumulator model, along with a mechanistic implementation, to calculate the expression of these errors for the entirety of the parameter space. In our mechanistic model, Weber’s law results from synaptic facilitation and depression within the feedback synapses of the accumulator. Our theory also makes the prediction that the steepness of temporal discounting can be affected by requiring the precise timing of temporal intervals. Thus, by presenting exact quantitative calculations, this work provides falsifiable predictions for future experimental testing. |
doi_str_mv | 10.1162/NECO_a_00792 |
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) showed that errors in time perception and decision making approximately obey Weber’s law for a range of parameters. However, prior calculations did not have a clear mechanistic underpinning. Further, these calculations were only approximate, with the range of parameters being limited. In this letter, we provide a full analytical treatment of such an accumulator model, along with a mechanistic implementation, to calculate the expression of these errors for the entirety of the parameter space. In our mechanistic model, Weber’s law results from synaptic facilitation and depression within the feedback synapses of the accumulator. Our theory also makes the prediction that the steepness of temporal discounting can be affected by requiring the precise timing of temporal intervals. Thus, by presenting exact quantitative calculations, this work provides falsifiable predictions for future experimental testing.</description><identifier>ISSN: 0899-7667</identifier><identifier>EISSN: 1530-888X</identifier><identifier>DOI: 10.1162/NECO_a_00792</identifier><identifier>PMID: 26599714</identifier><identifier>CODEN: NEUCEB</identifier><language>eng</language><publisher>One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press</publisher><subject>Accumulators ; Animals ; Behavior ; Decision Making ; Error analysis ; Errors ; Evolutionary ; Feedback ; Humans ; Letters ; Mathematical analysis ; Mathematical models ; Models, Neurological ; Models, Theoretical ; Neural networks ; Neural Networks (Computer) ; Perception ; Perceptions ; Temporal logic ; Time ; Time Perception - physiology</subject><ispartof>Neural computation, 2016-01, Vol.28 (1), p.89-117</ispartof><rights>Copyright MIT Press Journals Jan 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-ca926eb3197d1cb668f14c6453b02e7e82b8c0784304053b5a78bb9f417cb9a13</citedby><cites>FETCH-LOGICAL-c385t-ca926eb3197d1cb668f14c6453b02e7e82b8c0784304053b5a78bb9f417cb9a13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://direct.mit.edu/neco/article/doi/10.1162/NECO_a_00792$$EHTML$$P50$$Gmit$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,53984,53985</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26599714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Namboodiri, Vijay Mohan K.</creatorcontrib><creatorcontrib>Mihalas, Stefan</creatorcontrib><creatorcontrib>Hussain Shuler, Marshall G.</creatorcontrib><title>Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law</title><title>Neural computation</title><addtitle>Neural Comput</addtitle><description>It has been previously shown (Namboodiri, Mihalas, Marton, & Hussain Shuler,
) that an evolutionary theory of decision making and time perception is capable of explaining numerous behavioral observations regarding how humans and animals decide between differently delayed rewards of differing magnitudes and how they perceive time. An implementation of this theory using a stochastic drift-diffusion accumulator model (Namboodiri, Mihalas, & Hussain Shuler,
) showed that errors in time perception and decision making approximately obey Weber’s law for a range of parameters. However, prior calculations did not have a clear mechanistic underpinning. Further, these calculations were only approximate, with the range of parameters being limited. In this letter, we provide a full analytical treatment of such an accumulator model, along with a mechanistic implementation, to calculate the expression of these errors for the entirety of the parameter space. In our mechanistic model, Weber’s law results from synaptic facilitation and depression within the feedback synapses of the accumulator. Our theory also makes the prediction that the steepness of temporal discounting can be affected by requiring the precise timing of temporal intervals. Thus, by presenting exact quantitative calculations, this work provides falsifiable predictions for future experimental testing.</description><subject>Accumulators</subject><subject>Animals</subject><subject>Behavior</subject><subject>Decision Making</subject><subject>Error analysis</subject><subject>Errors</subject><subject>Evolutionary</subject><subject>Feedback</subject><subject>Humans</subject><subject>Letters</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Models, Neurological</subject><subject>Models, Theoretical</subject><subject>Neural networks</subject><subject>Neural Networks (Computer)</subject><subject>Perception</subject><subject>Perceptions</subject><subject>Temporal logic</subject><subject>Time</subject><subject>Time Perception - physiology</subject><issn>0899-7667</issn><issn>1530-888X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkctq3DAUhkVpaCZpd10XQTdd1KlkW7fuhunkApMm0PSyM5LmmGiQrYlkN2SX1wh5uzxJPDNpGkohK3HEx_cfzo_QW0r2KOX5p6_TyUmlK0KEyl-gEWUFyaSUv16iEZFKZYJzsY12UloQQjgl7BXazjlTStByhG7HrfZXnbPa44n2tve6c6HFocbTGENM2LX4zDWAdTvHP7TvAZ9CtLBcY1-GsQtY42-9WYDt3G_Y0GNr-2YlC_EzHuNjsOe6dWkIwsdhDn6t684BH0AL8THzJxiId9c3Cc_05Wu0VWuf4M3Du4u-70_PJofZ7OTgaDKeZbaQrMusVjkHU1Al5tQazmVNS8tLVhiSgwCZG2mJkGVBSjJ8Mi2kMaouqbBGaVrsog8b7zKGix5SVzUuWfBetxD6VFGhilyVbDjt8yijnKtCigF9_w-6CH0crr2mmCRMlavsjxvKxpBShLpaRtfoeFVRUq36rZ72O-DvHqS9aWD-CP8p9O-CjXsa-D_XPaJCrdk</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Namboodiri, Vijay Mohan K.</creator><creator>Mihalas, Stefan</creator><creator>Hussain Shuler, Marshall G.</creator><general>MIT Press</general><general>MIT Press Journals, The</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20160101</creationdate><title>Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law</title><author>Namboodiri, Vijay Mohan K. ; Mihalas, Stefan ; Hussain Shuler, Marshall G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-ca926eb3197d1cb668f14c6453b02e7e82b8c0784304053b5a78bb9f417cb9a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accumulators</topic><topic>Animals</topic><topic>Behavior</topic><topic>Decision Making</topic><topic>Error analysis</topic><topic>Errors</topic><topic>Evolutionary</topic><topic>Feedback</topic><topic>Humans</topic><topic>Letters</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Models, Neurological</topic><topic>Models, Theoretical</topic><topic>Neural networks</topic><topic>Neural Networks (Computer)</topic><topic>Perception</topic><topic>Perceptions</topic><topic>Temporal logic</topic><topic>Time</topic><topic>Time Perception - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Namboodiri, Vijay Mohan K.</creatorcontrib><creatorcontrib>Mihalas, Stefan</creatorcontrib><creatorcontrib>Hussain Shuler, Marshall G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Neural computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Namboodiri, Vijay Mohan K.</au><au>Mihalas, Stefan</au><au>Hussain Shuler, Marshall G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law</atitle><jtitle>Neural computation</jtitle><addtitle>Neural Comput</addtitle><date>2016-01-01</date><risdate>2016</risdate><volume>28</volume><issue>1</issue><spage>89</spage><epage>117</epage><pages>89-117</pages><issn>0899-7667</issn><eissn>1530-888X</eissn><coden>NEUCEB</coden><abstract>It has been previously shown (Namboodiri, Mihalas, Marton, & Hussain Shuler,
) that an evolutionary theory of decision making and time perception is capable of explaining numerous behavioral observations regarding how humans and animals decide between differently delayed rewards of differing magnitudes and how they perceive time. An implementation of this theory using a stochastic drift-diffusion accumulator model (Namboodiri, Mihalas, & Hussain Shuler,
) showed that errors in time perception and decision making approximately obey Weber’s law for a range of parameters. However, prior calculations did not have a clear mechanistic underpinning. Further, these calculations were only approximate, with the range of parameters being limited. In this letter, we provide a full analytical treatment of such an accumulator model, along with a mechanistic implementation, to calculate the expression of these errors for the entirety of the parameter space. In our mechanistic model, Weber’s law results from synaptic facilitation and depression within the feedback synapses of the accumulator. Our theory also makes the prediction that the steepness of temporal discounting can be affected by requiring the precise timing of temporal intervals. Thus, by presenting exact quantitative calculations, this work provides falsifiable predictions for future experimental testing.</abstract><cop>One Rogers Street, Cambridge, MA 02142-1209, USA</cop><pub>MIT Press</pub><pmid>26599714</pmid><doi>10.1162/NECO_a_00792</doi><tpages>29</tpages></addata></record> |
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subjects | Accumulators Animals Behavior Decision Making Error analysis Errors Evolutionary Feedback Humans Letters Mathematical analysis Mathematical models Models, Neurological Models, Theoretical Neural networks Neural Networks (Computer) Perception Perceptions Temporal logic Time Time Perception - physiology |
title | Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law |
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