Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Representations of uncertainty: where art thou?
Ádám Koblinger, József Fiser, Máté Lengyel
Current Opinion in Behavioral Sciences (2021) Vol. 38, pp. 150-162
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Temporal stability of Bayesian belief updating in perceptual decision-making
Isabella Goodwin, Robert Hester, Marta I. Garrido
Behavior Research Methods (2023) Vol. 56, Iss. 6, pp. 6349-6362
Open Access | Times Cited: 2
Probabilistic representations as building blocks for higher-level vision
Andrey Chetverikov, Árni Kristjánsson
Neurons Behavior Data analysis and Theory (2022) Vol. 1
Open Access | Times Cited: 3
Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer
Chin‐Hsuan Lin, Bui Thuy Trang, Lee Unsworth, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011769-e1011769
Open Access
Uncertainty-modulated prediction errors in cortical microcircuits
Katharina A. Wilmes, Mihai A. Petrovici, Shankar Sachidhanandam, et al.
(2024)
Open Access
Uncertainty-modulated prediction errors in cortical microcircuits
Katharina A. Wilmes, Mihai A. Petrovici, Shankar Sachidhanandam, et al.
(2024)
Open Access
Rational representations of uncertainty: a pluralistic approach to bounded rationality
Isaac Davis
Synthese (2024) Vol. 203, Iss. 5
Closed Access
What neuroimaging methods can tell us about perceptual development
Richard Ν. Aslin, Vikranth R. Bejjanki
(2024)
Open Access
Bayesian Priors in Active Avoidance
Tobias Granwald, Peter Dayan, Máté Lengyel, et al.
(2024)
Open Access
A theory of rapid behavioral inferences under the pressure of time
Ann M. Hermundstad, Wiktor Młynarski
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Uncertainty-modulated prediction errors in cortical microcircuits
Katharina A. Wilmes, Mihai A. Petrovici, Shankar Sachidhanandam, et al.
(2024)
Open Access
Synaptic weights that correlate with presynaptic selectivity increase decoding performance
Júlia V. Gallinaro, Benjamin Scholl, Claudia Clopath
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011362-e1011362
Open Access | Times Cited: 1
Learning the statistics of pain: computational and neural mechanisms
Flavia Mancini, Suyi Zhang, Ben Seymour
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Studying the neural representations of uncertainty
Edgar Y. Walker, Stephan Pohl, Rachel N. Denison, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Natural gradient enables fast sampling in spiking neural networks
Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer
Chin‐Hsuan Lin, Bui Thuy Trang, Lee Unsworth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Temporal Stability of Bayesian Belief Updating in Perceptual Decision Making
Isabella Goodwin, Robert Hester, Marta I. Garrido
(2023)
Open Access
Different types of uncertainty distinguished by monkey prefrontal neurons
Madoka Matsumoto, Hiroshi Abe, Keiji Tanaka, et al.
Cerebral Cortex Communications (2022) Vol. 3, Iss. 1
Open Access
A characterization of the neural representation of confidence during probabilistic learning
Tiffany Bounmy, Evelyn Eger, Florent Meyniel
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Synaptic weights that correlate with presynaptic selectivity increase decoding performance
Júlia V. Gallinaro, Benjamin Scholl, Claudia Clopath
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Long- and short-term history effects in a spiking network model of statistical learning
Amadeus Maes, Mauricio Barahona, Claudia Clopath
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
Learning the statistics of pain: computational and neural mechanisms
Flavia Mancini, Suyi Zhang, Ben Seymour
Research Square (Research Square) (2021)
Open Access
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