A citation-based method for searching scientific literature

Guy E Hawkins, Birte U Forstmann, Eric-Jan Wagenmakers, Roger Ratcliff, Scott D Brown. J Neurosci 2015
Times Cited: 116







List of co-cited articles
822 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models.
Gilles Dutilh, Jeffrey Annis, Scott D Brown, Peter Cassey, Nathan J Evans, Raoul P P P Grasman, Guy E Hawkins, Andrew Heathcote, William R Holmes, Angelos-Miltiadis Krypotos,[...]. Psychon Bull Rev 2019
44
15

The optimality of sensory processing during the speed-accuracy tradeoff.
Tiffany Ho, Scott Brown, Leendert van Maanen, Birte U Forstmann, Eric-Jan Wagenmakers, John T Serences. J Neurosci 2012
57
12

Linear deterministic accumulator models of simple choice.
Andrew Heathcote, Jonathon Love. Front Psychol 2012
42
16

Bridging Neural and Computational Viewpoints on Perceptual Decision-Making.
Redmond G O'Connell, Michael N Shadlen, KongFatt Wong-Lin, Simon P Kelly. Trends Neurosci 2018
58
12

Decisions are expedited through multiple neural adjustments spanning the sensorimotor hierarchy.
Natalie A Steinemann, Redmond G O'Connell, Simon P Kelly. Nat Commun 2018
32
21

Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution.
Udo Boehm, Leendert van Maanen, Birte Forstmann, Hedderik van Rijn. Neuroimage 2014
50
12

Response times from ensembles of accumulators.
Bram Zandbelt, Braden A Purcell, Thomas J Palmeri, Gordon D Logan, Jeffrey D Schall. Proc Natl Acad Sci U S A 2014
29
20

Diffusion models in experimental psychology: a practical introduction.
Andreas Voss, Markus Nagler, Veronika Lerche. Exp Psychol 2013
188
6

A diffusion model decomposition of the effects of alcohol on perceptual decision making.
Don van Ravenzwaaij, Gilles Dutilh, Eric-Jan Wagenmakers. Psychopharmacology (Berl) 2012
38
15



Hierarchical diffusion models for two-choice response times.
Joachim Vandekerckhove, Francis Tuerlinckx, Michael D Lee. Psychol Methods 2011
124
6



A diffusion model decomposition of the practice effect.
Gilles Dutilh, Joachim Vandekerckhove, Francis Tuerlinckx, Eric-Jan Wagenmakers. Psychon Bull Rev 2009
68
8

The neural systems that mediate human perceptual decision making.
Hauke R Heekeren, Sean Marrett, Leslie G Ungerleider. Nat Rev Neurosci 2008
500
6

Making decisions with unknown sensory reliability.
Sophie Deneve. Front Neurosci 2012
39
15


Probabilistic reasoning by neurons.
Tianming Yang, Michael N Shadlen. Nature 2007
294
6

Speed-accuracy tradeoffs in animal decision making.
Lars Chittka, Peter Skorupski, Nigel E Raine. Trends Ecol Evol 2009
236
6

Quantile maximum likelihood estimation of response time distributions.
Andrew Heathcote, Scott Brown, D J K Mewhort. Psychon Bull Rev 2002
133
6




Economic irrationality is optimal during noisy decision making.
Konstantinos Tsetsos, Rani Moran, James Moreland, Nick Chater, Marius Usher, Christopher Summerfield. Proc Natl Acad Sci U S A 2016
52
11

A general mechanism for perceptual decision-making in the human brain.
H R Heekeren, S Marrett, P A Bandettini, L G Ungerleider. Nature 2004
457
6

NEURONAL MODELING. Single-trial spike trains in parietal cortex reveal discrete steps during decision-making.
Kenneth W Latimer, Jacob L Yates, Miriam L R Meister, Alexander C Huk, Jonathan W Pillow. Science 2015
138
6

On building a bridge between brain and behavior.
Jeffrey D Schall. Annu Rev Psychol 2004
87
6

Random effects structure for confirmatory hypothesis testing: Keep it maximal.
Dale J Barr, Roger Levy, Christoph Scheepers, Harry J Tily. J Mem Lang 2013
6


Neural evidence accumulation persists after choice to inform metacognitive judgments.
Peter R Murphy, Ian H Robertson, Siobhán Harty, Redmond G O'Connell. Elife 2015
75
8

A Neurocomputational Model of Altruistic Choice and Its Implications.
Cendri A Hutcherson, Benjamin Bushong, Antonio Rangel. Neuron 2015
104
6

Need for closure is associated with urgency in perceptual decision-making.
Nathan J Evans, Babette Rae, Maxim Bushmakin, Mark Rubin, Scott D Brown. Mem Cognit 2017
18
33


The speed-accuracy tradeoff in the elderly brain: a structural model-based approach.
Birte U Forstmann, Marc Tittgemeyer, Eric-Jan Wagenmakers, Jan Derrfuss, Davide Imperati, Scott Brown. J Neurosci 2011
128
6

A generalized, likelihood-free method for posterior estimation.
Brandon M Turner, Per B Sederberg. Psychon Bull Rev 2014
34
17


Diffusion models of the flanker task: discrete versus gradual attentional selection.
Corey N White, Roger Ratcliff, Jeffrey J Starns. Cogn Psychol 2011
127
6

Value-driven attentional capture.
Brian A Anderson, Patryk A Laurent, Steven Yantis. Proc Natl Acad Sci U S A 2011
596
6


Caution in decision-making under time pressure is mediated by timing ability.
Steven Miletić, Leendert van Maanen. Cogn Psychol 2019
12
50

Dynamic models of choice.
Andrew Heathcote, Yi-Shin Lin, Angus Reynolds, Luke Strickland, Matthew Gretton, Dora Matzke. Behav Res Methods 2019
41
14

A diffusion model analysis of the effects of aging on letter discrimination.
Anjali Thapar, Roger Ratcliff, Gail McKoon. Psychol Aging 2003
119
5


EEG oscillations reveal neural correlates of evidence accumulation.
M K van Vugt, P Simen, L E Nystrom, P Holmes, J D Cohen. Front Neurosci 2012
53
9

Individual differences, aging, and IQ in two-choice tasks.
Roger Ratcliff, Anjali Thapar, Gail McKoon. Cogn Psychol 2010
127
5

Neural basis of deciding, choosing and acting.
J D Schall. Nat Rev Neurosci 2001
318
5

Rapid decision threshold modulation by reward rate in a neural network.
Patrick Simen, Jonathan D Cohen, Philip Holmes. Neural Netw 2006
80
6

Lateralized readiness potentials reveal properties of a neural mechanism for implementing a decision threshold.
Marieke K van Vugt, Patrick Simen, Leigh Nystrom, Philip Holmes, Jonathan D Cohen. PLoS One 2014
21
23

Speed accuracy trade-off under response deadlines.
Hakan Karşılar, Patrick Simen, Samantha Papadakis, Fuat Balcı. Front Neurosci 2014
14
35


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.