Domain > gershmanlab.com

More information on this domain is in AlienVault OTX

DNS Resolutions

Date	IP Address
2025-03-22	207.244.116.232 (ClassC)

HTTP/1.1 200 OKServer: nginxDate: Thu, 09 Nov 2023 13:01:51 GMTContent-Type: text/htmlContent-Length: 2856Last-Modified: Tue, 14 Feb 2023 01:49:10 GMTConnection: keep-aliveETag: 63eae896-b28Accept-Ran

!DOCTYPE html>html langen>	head>		meta http-equivcontent-type contenttext/html; charsetUTF-8>		meta charsetutf-8>		title>CCNLab/title>		meta namegenerator contentBootply />		meta nameviewport contentwidthdevice-width, initial-scale1, maximum-scale1>		link hrefcss/bootstrap.min.css relstylesheet>		link hrefcss/styles.css relstylesheet>	/head>	body> div classnavbar navbar-default>  div classcontainer>    a hrefindex.html classpull-left>img src/img/color-veritas.png stylewidth:37.5px;height:43.5px;>/a>      ul classnav navbar-nav>        li classactive>a hrefindex.html>CCNLab/a>/li>        li>a hrefnews.html>News/a>/li>        li>a hrefpubs.html>Publications/a>/li>        li>a hrefpeople.html>People/a>/li>        li>a hrefresources.html>Resources/a>/li>              /ul>  /div>/div>div classcontainer>  div classrow>  div classcol-xs-12 text-center>    h2>Computational Cognitive Neuroscience Lab hr>    small>Harvard University br> Department of Psychology and Center for Brain Science/small>/h2>    /div>  /div>  br>br>  div classrow>    div classcol-xs-12>      i>There is something inside of me. What is it?/i>      p>-Vincent van Gogh/p>                        p>Our research aims to understand how richly structured knowledge about the environment is acquired, and how this knowledge aids adaptive behavior. We use a combination of behavioral, neuroimaging and computational techniques to pursue these questions. br> br>      One prong of this research focuses on how humans and animals discover the hidden states underlying their observations, and how they represent these states. In some cases, these states correspond to complex data structures, like graphs, grammars or programs. These data structures strongly constrain how agents infer which actions will lead to reward. A second prong of our research is teasing apart the interactions between different learning systems. Evidence suggests the existence of at least two systems: a goal-directed system that builds an explicit model of the environment, and a habitual system that

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Domain > gershmanlab.com

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