Milica D. Milosavljević

Cognitive Neuroscience · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 75 citations into it; #5,453 of 10,852 by trust here, #4,022 by citations
• Experimental and Cognitive Psychology — 21 citations into it
• General Decision Sciences — 20 citations into it
• Cellular and Molecular Neuroscience — 15 citations into it
• Economics and Econometrics — 5 citations into it

Whom Milica D. Milosavljević trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Roger Ratcliff
2. Philip L. Smith
3. Joshua I. Gold
4. Antonio Rangel
5. Michael N. Shadlen
6. Ian Krajbich
7. Gail McKoon
8. Rafal Bogacz
9. Jonathan D. Wallis
10. John Palmer

Who trusts Milica D. Milosavljević overall

1. Ian Krajbich
2. Antonio Rangel
3. Birte U. Forstmann
4. João Guerreiro
5. John A. Clithero
6. Eric-Jan Wagenmakers
7. Dingchao Lu
8. Jacob L. Orquin
9. Paulo Rita
10. Steven D. Shaw

Papers from Milica D. Milosavljević's perspective

Ordered by how strongly the researchers Milica D. Milosavljević trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural computations that underlie decisions about sensory stimuli. (Trends in Cognitive Sciences)
2. A comparison of sequential sampling models for two-choice reaction time. (Psychology Review)
3. Psychology and neurobiology of simple decisions.
4. Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions (Proceedings of the National Academy of Sciences of the United States of America)
5. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. (Psychology Review)
6. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks (Neural Computation)
7. Choices, Values, and Frames
8. Beautiful faces have variable reward value: fMRI and behavioral evidence. (Neuron)
9. Computational modelling of visual attention
10. Neural correlates of behavioral preference for culturally familiar drinks. (Neuron)

Their papers

• Relative visual saliency differences induce sizable bias in consumer choice (2012) — 371 citations
• Branding the brain: A critical review and outlook (2012) — 510 citations
• The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure (2010) — 344 citations