Daniel E. Acuña, Ph.D.

2016- School of Information Studies Syracuse University, Syracuse, NY, United States 
Decision making, decoding
"Daniel Acuña"
Mean distance: 14.33 (cluster 29)


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Victor Parada research assistant 2003-2004 Universidad de Santiago de Chile
Paul Schrater grad student 2006-2011 UMN
 (Rational Bayesian Analysis of Sequential Decision-Making Under Uncertainty In Humans and Machines.)
Konrad P. Kording post-doc 2011-2016 Rehabilitation Institute of Chicago


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Han Zhuang grad student 2017- Syracuse
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Acuna DE, Berniker M, Fernandes HL, et al. (2015) Using psychophysics to ask if the brain samples or maximizes. Journal of Vision. 15
Acuna DE, Wymbs NF, Reynolds CA, et al. (2014) Multifaceted aspects of chunking enable robust algorithms. Journal of Neurophysiology. 112: 1849-56
Acuna DE, Penner O, Orton CG. (2013) Point/Counterpoint. The future h-index is an excellent way to predict scientists' future impact. Medical Physics. 40: 110601
Acuna DE, Allesina S, Kording KP. (2012) Future impact: Predicting scientific success. Nature. 489: 201-2
Acuña DE, Schrater P. (2010) Structure learning in human sequential decision-making. Plos Computational Biology. 6: e1001003
Acuña DE, Parada V. (2010) People efficiently explore the solution space of the computationally intractable traveling salesman problem to find near-optimal tours. Plos One. 5: e11685
Acuña D, Parada V. (2005) Modeling expert players' behavior through data mining Proceedings - International Conference of the Chilean Computer Science Society, Sccc. 2005: 55-61
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