Selected Publications

Goris RLT, Coen-Cagli R, Miller KD, Priebe NJ, & Lengyel M (2024). Response sub-additivity and variability quenching in visual cortex. Nature Review Neuroscience., https://doi.org/10.1038/s41583-024-00795-0. pdf download
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Charlton JA, Wiktor FM, Bai YH, Hermundstad AM, & Goris RLT (2023). Environmental dynamics shape perceptual decision bias. PLoS Comput Biol 19(6): e1011104, https://doi.org/10.1371/journal.pcbi.1011104. pdf download
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Boundy-Singer ZM*, Ziemba CM*, & Goris RLT (2023). Confidence reflects a noisy decision reliability estimate. Nature Human Behavior 7, 142–154, https://doi.org/10.1038/s41562-022-01464-x. pdf download
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Hénaff OJ, Bai YH, Charlton JA, Nauhaus I, Simoncelli EP & Goris RLT (2021). Primary visual cortex straightens natural video trajectories. Nature Communications 12, 5982. pdf download
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Hénaff OJ, Boundy-Singer ZM, Meding K, Ziemba CM, & Goris RLT (2020). Representation of visual uncertainty through neural gain variability. Nature Communications 11, 2513. pdf download
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Henaff OJ, Goris RLT, & Simoncelli EP (2019). Perceptual straightening of natural videos. Nature Neuroscience, 22, 984–991. pdf download
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Goris RLT, Ziemba CM, Movshon JA, & Simoncelli EP (2018). Slow gain fluctuations limit benefits of temporal integration in visual cortex. Journal of Vision, 18(8):8, 1–13. pdf download
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Goris RLT, Ziemba CM, Stine GM, Simoncelli EP, & MovshoN JA (2017). Dissociation of choice formation and choice-correlated activity in macaque visual cortex. Journal of Neuroscience, 37, 5195–5203. pdf download
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Goris RLT, Simoncelli EP, & Movshon JA (2015). Origin and function of tuning diversity in macaque visual cortex. Neuron, 88, 819–831. pdf download
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Rabinowitz NC, Goris RLT, Cohen MR, & Simoncelli EP (2015). Attention stabilizes the shared gain of V4 populations. eLife, e08998. pdf download
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Goris RLT, Movshon JA, & Simoncelli EP (2014). Partitioning neuronal variability. Nature Neuroscience, 17, 858–865. pdf download
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Goris RLT, Putzeys T, Wagemans J, & Wichmann FA (2013). A neural population model for visual pattern detection. Psychological Review, 120, 472–496. pdf download
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