A citation-based method for searching scientific literature

Hansem Sohn, Nicolas Meirhaeghe, Rishi Rajalingham, Mehrdad Jazayeri. Trends Neurosci 2021
Times Cited: 3







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



Times Cited
  Times     Co-cited
Similarity


A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
100

Bayesian Computation through Cortical Latent Dynamics.
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe, Mehrdad Jazayeri. Neuron 2019
33
66

Temporal context calibrates interval timing.
Mehrdad Jazayeri, Michael N Shadlen. Nat Neurosci 2010
318
66

Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
835
66




Bayesian integration in sensorimotor learning.
Konrad P Körding, Daniel M Wolpert. Nature 2004
879
66

Building machines that learn and think like people.
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
170
66

Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
917
66


Neural implementation of Bayesian inference in a sensorimotor behavior.
Timothy R Darlington, Jeffrey M Beck, Stephen G Lisberger. Nat Neurosci 2018
26
66

Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
119
66

Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference.
Rodrigo Echeveste, Laurence Aitchison, Guillaume Hennequin, Máté Lengyel. Nat Neurosci 2020
11
66

Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions.
Warasinee Chaisangmongkon, Sruthi K Swaminathan, David J Freedman, Xiao-Jing Wang. Neuron 2017
53
66

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
565
66

Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions.
Hang Zhang, Nathaniel D Daw, Laurence T Maloney. Nat Neurosci 2015
19
33

Bayesian decision theory in sensorimotor control.
Konrad P Körding, Daniel M Wolpert. Trends Cogn Sci 2006
330
33

Decision-theoretic models of visual perception and action.
Laurence T Maloney, Hang Zhang. Vision Res 2010
69
33

Homo heuristicus: why biased minds make better inferences.
Gerd Gigerenzer, Henry Brighton. Top Cogn Sci 2009
211
33

When Does Model-Based Control Pay Off?
Wouter Kool, Fiery A Cushman, Samuel J Gershman. PLoS Comput Biol 2016
42
33


Neural reinforcement: re-entering and refining neural dynamics leading to desirable outcomes.
Vivek R Athalye, Jose M Carmena, Rui M Costa. Curr Opin Neurobiol 2020
10
33

The Bayesian brain: the role of uncertainty in neural coding and computation.
David C Knill, Alexandre Pouget. Trends Neurosci 2004
875
33

Learning priors for Bayesian computations in the nervous system.
Max Berniker, Martin Voss, Konrad Kording. PLoS One 2010
80
33

A Switching Observer for Human Perceptual Estimation.
Steeve Laquitaine, Justin L Gardner. Neuron 2018
18
33

Theory-based Bayesian models of inductive learning and reasoning.
Joshua B Tenenbaum, Thomas L Griffiths, Charles Kemp. Trends Cogn Sci 2006
220
33


Late Bayesian inference in mental transformations.
Evan D Remington, Tiffany V Parks, Mehrdad Jazayeri. Nat Commun 2018
4
33


Computational Principles of Supervised Learning in the Cerebellum.
Jennifer L Raymond, Javier F Medina. Annu Rev Neurosci 2018
61
33


Decision making, movement planning and statistical decision theory.
Julia Trommershäuser, Laurence T Maloney, Michael S Landy. Trends Cogn Sci 2008
169
33

Metamers of the ventral stream.
Jeremy Freeman, Eero P Simoncelli. Nat Neurosci 2011
260
33

Bayesian just-so stories in psychology and neuroscience.
Jeffrey S Bowers, Colin J Davis. Psychol Bull 2012
139
33

The loss function of sensorimotor learning.
Konrad Paul Körding, Daniel M Wolpert. Proc Natl Acad Sci U S A 2004
91
33

Dissociable dopamine dynamics for learning and motivation.
Ali Mohebi, Jeffrey R Pettibone, Arif A Hamid, Jenny-Marie T Wong, Leah T Vinson, Tommaso Patriarchi, Lin Tian, Robert T Kennedy, Joshua D Berke. Nature 2019
140
33


Learning to expect the unexpected: rapid updating in primate cerebellum during voluntary self-motion.
Jessica X Brooks, Jerome Carriot, Kathleen E Cullen. Nat Neurosci 2015
90
33

Probabilistic brains: knowns and unknowns.
Alexandre Pouget, Jeffrey M Beck, Wei Ji Ma, Peter E Latham. Nat Neurosci 2013
229
33

Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.
Wouter Kool, Samuel J Gershman, Fiery A Cushman. Psychol Sci 2017
61
33

Posterior parietal cortex represents sensory history and mediates its effects on behaviour.
Athena Akrami, Charles D Kopec, Mathew E Diamond, Carlos D Brody. Nature 2018
105
33

How robust are probabilistic models of higher-level cognition?
Gary F Marcus, Ernest Davis. Psychol Sci 2013
50
33


Optimal compensation for temporal uncertainty in movement planning.
Todd E Hudson, Laurence T Maloney, Michael S Landy. PLoS Comput Biol 2008
51
33

Bayesian computation in recurrent neural circuits.
Rajesh P N Rao. Neural Comput 2004
107
33

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
33


Optimal eye movement strategies in visual search.
Jiri Najemnik, Wilson S Geisler. Nature 2005
395
33

Optimal predictions in everyday cognition.
Thomas L Griffiths, Joshua B Tenenbaum. Psychol Sci 2006
179
33


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.