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Number of items: 30.
Air Force Office of Scientific Research (AFOSR)
Griffiths, T. L., Vul, E. and Sanborn, Adam N. (2012) Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, Volume 21 (Number 4). pp. 263-268. doi:10.1177/0963721412447619 ISSN 0963-7214.
Economic and Social Research Council (Great Britain) (ESRC)
Ramlee, Fatanah, Sanborn, Adam N. and Tang, Nicole K. Y. (2017) What sways people's judgment of sleep quality? A quantitative choice-making study with good and poor sleepers. Sleep, 40 (7). zsx091. doi:10.1093/sleep/zsx091 ISSN 0161-8105.
Sanborn, Adam N. (2017) Types of approximation for probabilistic cognition : sampling and variational. Brain and cognition, 112 . pp. 98-101. doi:10.1016/j.bandc.2015.06.008 ISSN 0278-2626.
Sanborn, Adam N. and Chater, Nick (2016) Bayesian brains without probabilities. Trends in Cognitive Sciences, 20 (12). pp. 883-893. doi:10.1016/j.tics.2016.10.003 ISSN 1364-6613.
Sanborn, Adam N. and Beierholm, Ulrik R. (2016) Fast and accurate learning when making discrete numerical estimates. PLoS Computational Biology, 12 (4). e1004859. doi:10.1371/journal.pcbi.1004859 ISSN 1553-7358.
Sanborn, Adam N. and Griffiths, Thomas L. (2015) Exploring the structure of mental representations by implementing computer algorithms with people. In: Raaijmakers, J. G. W. and Criss, A. H. and Goldstone, R. L. and Nosofsky, R. M. and Steyvers, M., (eds.) Cognitive Modeling in Perception and Memory: A Festschrift for Richard M. Shiffrin. New York: Psychology Press ; Taylor & Francis Group, pp. 212-228.
Sanborn, Adam N. (2014) Testing Bayesian and heuristic predictions of mass judgments of colliding objects. Frontiers in Psychology, Volume 5 . Article number 938. doi:10.3389/fpsyg.2014.00938 ISSN 1664-1078.
Engineering and Physical Sciences Research Council (EPSRC)
Lloyd, Kevin, Sanborn, Adam N., Leslie, David and Lewandowsky, Stephan (2017) Why does higher working memory capacity help you learn? In: CogSci 2017, London, 26-29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 767-772. ISBN 9780991196760 .
European Research Council (ERC)
Sanborn, Adam N. and Chater, Nick (2016) Bayesian brains without probabilities. Trends in Cognitive Sciences, 20 (12). pp. 883-893. doi:10.1016/j.tics.2016.10.003 ISSN 1364-6613.
Gatsby Charitable Foundation (GCF)
Lloyd, Kevin, Sanborn, Adam N., Leslie, David and Lewandowsky, Stephan (2017) Why does higher working memory capacity help you learn? In: CogSci 2017, London, 26-29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 767-772. ISBN 9780991196760 .
Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. doi:10.1037/a0031912 ISSN 0033-295X.
Leverhulme Trust (LT)
Surdina, Alexandra and Sanborn, Adam N. (2017) Temporal variability in moral value judgement. In: CogSci 2017 : 39th Annual Meeting of the Cognitive Science Society, London, UK, 26–29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 3285-3290. ISBN 9780991196760 .
Sanborn, Adam N. and Chater, Nick (2016) Bayesian brains without probabilities. Trends in Cognitive Sciences, 20 (12). pp. 883-893. doi:10.1016/j.tics.2016.10.003 ISSN 1364-6613.
National Institute for Health Research (Great Britain) (NIHR)
Ramlee, Fatanah, Sanborn, Adam N. and Tang, Nicole K. Y. (2017) What sways people's judgment of sleep quality? A quantitative choice-making study with good and poor sleepers. Sleep, 40 (7). zsx091. doi:10.1093/sleep/zsx091 ISSN 0161-8105.
Tang, Nicole K. Y. and Sanborn, Adam N. (2014) Better quality sleep promotes daytime physical activity in patients with chronic pain? : A multilevel analysis of the within-person relationship. PLoS One, Volume 9 (Number 3). pp. 1-9. Article number e92158. doi:10.1371/journal.pone.0092158 ISSN 1932-6203.
National Institute of Mental Health (U.S.)
Cohen, Andrew L., Sanborn, Adam N. and Shiffrin, Richard M. (2008) Model evaluation using grouped or individual data. Psychonomic Bulletin & Review, Vol.15 (No.4). pp. 692-712. doi:10.3758/PBR.15.4.692 ISSN 1069-9384.
National Institute on Aging (NIA)
Morrow, Daniel G., Ridolfo, Heather E., Menard, William E., Sanborn, Adam N., Stine-Morrow, Elizabeth A. L., Magnor, Cliff, Herman, Larry, Teller, Thomas and Bryant, David (2003) Environmental support promotes expertise-based mitigation of age differences on pilot communication tasks. Psychology and Aging, Vol.18 (No.2). pp. 268-284. doi:10.1037/0882-7974.18.2.268 ISSN 0882-7974.
National Science Foundation (NSF)
Griffiths, T. L., Vul, E. and Sanborn, Adam N. (2012) Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, Volume 21 (Number 4). pp. 263-268. doi:10.1177/0963721412447619 ISSN 0963-7214.
National Science Foundation (U.S.)
Martin, J. B., Griffiths, Thomas L. and Sanborn, Adam N. (2012) Testing the efficiency of Markov Chain Monte Carlo with people using facial affect categories. Cognitive Science, 36 (11). pp. 150-162. doi:10.1111/j.1551-6709.2011.01204.x ISSN 0364-0213.
Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J (2010) Rational approximations to rational models : alternative algorithms for category learning. Psychological Review, Vol.117 (No.4). pp. 1144-67. doi:10.1037/a0020511 ISSN 1939-1471.
National Science Foundation (U.S.) (NSF)
Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. doi:10.1037/a0031912 ISSN 0033-295X.
Office of Naval Research (ONR)
Griffiths, T. L., Vul, E. and Sanborn, Adam N. (2012) Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, Volume 21 (Number 4). pp. 263-268. doi:10.1177/0963721412447619 ISSN 0963-7214.
Research Councils UK (RCUK)
Sanborn, Adam N. and Chater, Nick (2016) Bayesian brains without probabilities. Trends in Cognitive Sciences, 20 (12). pp. 883-893. doi:10.1016/j.tics.2016.10.003 ISSN 1364-6613.
Robert & Colleen Haas
Martin, J. B., Griffiths, Thomas L. and Sanborn, Adam N. (2012) Testing the efficiency of Markov Chain Monte Carlo with people using facial affect categories. Cognitive Science, 36 (11). pp. 150-162. doi:10.1111/j.1551-6709.2011.01204.x ISSN 0364-0213.
Royal Society (Great Britain)
Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. doi:10.1037/a0031912 ISSN 0033-295X.
United States. Air Force. Office of Scientific Research
Shi, Lei, Griffiths, Thomas L., Feldman, Naomi H. and Sanborn, Adam N. (2010) Exemplar models as a mechanism for performing Bayesian inference. Psychonomic bulletin & review, Vol.17 (No.4). pp. 443-64. doi:10.3758/PBR.17.4.443 ISSN 1531-5320.
Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J (2010) Rational approximations to rational models : alternative algorithms for category learning. Psychological Review, Vol.117 (No.4). pp. 1144-67. doi:10.1037/a0020511 ISSN 1939-1471.
United States. Air Force. Office of Scientific Research (AFOSR)
Sanborn, Adam N. and Griffiths, Thomas L. (2015) Exploring the structure of mental representations by implementing computer algorithms with people. In: Raaijmakers, J. G. W. and Criss, A. H. and Goldstone, R. L. and Nosofsky, R. M. and Steyvers, M., (eds.) Cognitive Modeling in Perception and Memory: A Festschrift for Richard M. Shiffrin. New York: Psychology Press ; Taylor & Francis Group, pp. 212-228.
Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. doi:10.1037/a0031912 ISSN 0033-295X.
University of Warwick Bridges Programme
Surdina, Alexandra and Sanborn, Adam N. (2017) Temporal variability in moral value judgement. In: CogSci 2017 : 39th Annual Meeting of the Cognitive Science Society, London, UK, 26–29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 3285-3290. ISBN 9780991196760 .
This list was generated on Tue Apr 23 07:35:30 2024 BST.