<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <nonSort>The </nonSort>
    <title>anatomy of bias</title>
    <subTitle>how neural circuits weigh the options</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Lauwereyns, Jan</namePart>
    <namePart type="date">1969-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">mau</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Cambridge, Mass</placeTerm>
    </place>
    <publisher>MIT Press</publisher>
    <dateIssued>c2010</dateIssued>
    <dateIssued encoding="marc">2010</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xviii, 262 p. : ill., photographs ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Prelude: a double inheritance, a single question -- Bayes and bias -- Wish come true -- Fear materialized -- The familiarity fallacy -- The proximity trap -- Less is more -- Utopia--a world without bias -- Coda: the pleasure of prediction error.</tableOfContents>
  <note type="statement of responsibility">Jan Lauwereyns.</note>
  <note>Includes bibliographical references (p. [233]-254) and index.</note>
  <subject authority="lcsh">
    <topic>Neural circuitry</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Decision making</topic>
    <topic>Physiological aspects</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Bayesian statistical decision theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Neural networks (Neurobiology)</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="mesh">
    <topic>Nerve Net</topic>
    <topic>physiology</topic>
  </subject>
  <subject authority="mesh">
    <topic>Judgment</topic>
    <topic>physiology</topic>
  </subject>
  <subject authority="mesh">
    <topic>Models, Theoretical</topic>
  </subject>
  <classification authority="lcc">QP363.3 .L38 2010</classification>
  <classification authority="ddc" edition="22">153.8/3</classification>
  <classification authority="nlm">2010 C-794</classification>
  <classification authority="nlm">WL 102 L391a 2010</classification>
  <identifier type="isbn">9780262123105 (hardcover : alk. paper)</identifier>
  <identifier type="isbn">026212310X (hardcover : alk. paper)</identifier>
  <identifier type="lccn">2009021061</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">090522</recordCreationDate>
    <recordChangeDate encoding="iso8601">20161117163415.0</recordChangeDate>
    <recordIdentifier source="BD-DhUL">15747981</recordIdentifier>
  </recordInfo>
</mods>
