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Randall D. Beer

Affiliations: 
Indiana University, Bloomington, Bloomington, IN, United States 
Area:
Computational neuroscience
Website:
http://mypage.iu.edu/~rdbeer/
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"Randall Beer"
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Cross-listing: Computational Biology Tree

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Parents

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Children

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Matthew M. Hurley grad student Indiana University Bloomington
Carlos Zednik grad student Indiana University Bloomington
Phattanard Phattanasri grad student 2002 Case Western
Alan Calvitti grad student 2004 Case Western
Didem A. Kadihasanoglu grad student 2007-2012 Indiana University Bloomington

Collaborators

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Hillel Chiel collaborator Case Western
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Publications

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Kadihasanoglu D, Beer RD, Bingham N, et al. (2020) Control of visually guided braking using constant-[Formula: see text] and proportional rate. Experimental Brain Research
Izquierdo EJ, Beer RD. (2018) From head to tail: a neuromechanical model of forward locomotion in  . Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 373
Agmon E, Gates AJ, Beer RD. (2016) The Structure of Ontogenies in a Model Protocell. Artificial Life. 1-19
Izquierdo EJ, Beer RD. (2016) The whole worm: brain-body-environment models of C. elegans. Current Opinion in Neurobiology. 40: 23-30
Agmon E, Gates AJ, Churavy V, et al. (2016) Exploring the Space of Viable Configurations in a Model of Metabolism-Boundary Co-construction. Artificial Life. 1-19
Beer RD, Izquierdo EJ. (2016) Propagation of rhythmic dorsoventral wave in a neuromechanical model of locomotion in Caernohabditis elegans Artificial Life. 544-545
Izquierdo EJ, Williams PL, Beer RD. (2015) Information Flow through a Model of the C. elegans Klinotaxis Circuit. Plos One. 10: e0140397
Beer RD, Williams PL. (2015) Information processing and dynamics in minimally cognitive agents. Cognitive Science. 39: 1-38
Kadihasanoglu D, Beer RD, Bingham GP. (2015) Evolutionary robotics techniques used to model information and control of visually guided braking Adaptive Behavior. 23: 125-142
Agmon E, Beer RD. (2014) The evolution and analysis of action switching in embodied agents Adaptive Behavior. 22: 3-20
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