File:Neurobiological-Models-of-Two-Choice-Decision-Making-Can-Be-Reduced-to-a-One-Dimensional-Nonlinear-pcbi.1000046.g004.jpg
Neurobiological-Models-of-Two-Choice-Decision-Making-Can-Be-Reduced-to-a-One-Dimensional-Nonlinear-pcbi.1000046.g004.jpg (498 × 469 pixels, file size: 47 KB, MIME type: image/jpeg)
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[edit]DescriptionNeurobiological-Models-of-Two-Choice-Decision-Making-Can-Be-Reduced-to-a-One-Dimensional-Nonlinear-pcbi.1000046.g004.jpg |
English: Filled circles: experimental data. Lines: solution of nonlinear diffusion equation, Equation 8. Open squares: system of rate equations. Error bars represents approximate 95% confidence intervals. Data are from three sets of experiments in which subjects are instructed to respond with 0.5 s (blue) 1 s (red) and 2 s (black). (A) Reaction times on correct trials as a function of coherence for subject 1. (B): Fraction of correct responses as a function of coherence for subject 1. Parameter values from Equation 8 for subject 1: ηΔν = coherence×1.25e−5, σ = 0.00135, , and 0.012 for 2 s, 1 s, and 0.5 s trials, respectively. (C) Reaction times on correct trials as a function of coherence for subject 2. (D) Fraction of correct responses as a function of coherence for subject 2. Parameter values from Equation 8 for subject 2: ηΔν = coherence×1.25e−5, σ = 0.00135, , and 0.008 for 2 s, 1 s, and 0.5 s trials, respectively. A fixed offset of 260 ms and 220 ms was added to RT for subjects 1 and 2, respectively. We choose parameter values in the system of rate equations to yield precisely these parameters in Equation 8. See Materials and Methods for values. |
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Source | Image file from Roxin A, Ledberg A (2008). "Neurobiological Models of Two-Choice Decision Making Can Be Reduced to a One-Dimensional Nonlinear Diffusion Equation". PLOS Computational Biology. DOI:10.1371/journal.pcbi.1000046. PMID 18369436. PMC: 2268007. | |
Author | Roxin A, Ledberg A | |
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current | 20:09, 3 October 2014 | ![]() | 498 × 469 (47 KB) | Recitation-bot (talk | contribs) | Automatic upload of media from: doi:10.1371/journal.pcbi.1000046 |
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