Search Results - "Cohen, Jeremiah Y."

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  1. 1

    Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons by Tian, Ju, Huang, Ryan, Cohen, Jeremiah Y., Osakada, Fumitaka, Kobak, Dmitry, Machens, Christian K., Callaway, Edward M., Uchida, Naoshige, Watabe-Uchida, Mitsuko

    Published in Neuron (Cambridge, Mass.) (21-09-2016)
    “…Dopamine neurons encode the difference between actual and predicted reward, or reward prediction error (RPE). Although many models have been proposed to…”
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  2. 2

    Neuron-type-specific signals for reward and punishment in the ventral tegmental area by Cohen, Jeremiah Y., Haesler, Sebastian, Vong, Linh, Lowell, Bradford B., Uchida, Naoshige

    Published in Nature (London) (02-02-2012)
    “…Dopaminergic neurons in the mouse ventral tegmental area signal the difference between received and expected reward, whereas GABAergic neurons signal expected…”
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    Organization of Monosynaptic Inputs to the Serotonin and Dopamine Neuromodulatory Systems by Ogawa, Sachie K., Cohen, Jeremiah Y., Hwang, Dabin, Uchida, Naoshige, Watabe-Uchida, Mitsuko

    Published in Cell reports (Cambridge) (21-08-2014)
    “…Serotonin and dopamine are major neuromodulators. Here, we used a modified rabies virus to identify monosynaptic inputs to serotonin neurons in the dorsal and…”
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  4. 4

    Serotonergic neurons signal reward and punishment on multiple timescales by Cohen, Jeremiah Y, Amoroso, Mackenzie W, Uchida, Naoshige

    Published in eLife (25-02-2015)
    “…Serotonin's function in the brain is unclear. One challenge in testing the numerous hypotheses about serotonin's function has been observing the activity of…”
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  5. 5

    Stable Representations of Decision Variables for Flexible Behavior by Bari, Bilal A., Grossman, Cooper D., Lubin, Emily E., Rajagopalan, Adithya E., Cressy, Jianna I., Cohen, Jeremiah Y.

    Published in Neuron (Cambridge, Mass.) (04-09-2019)
    “…Decisions occur in dynamic environments. In the framework of reinforcement learning, the probability of performing an action is influenced by decision…”
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  6. 6

    Neurally Constrained Modeling of Perceptual Decision Making by Purcell, Braden A., Heitz, Richard P., Cohen, Jeremiah Y., Schall, Jeffrey D., Logan, Gordon D., Palmeri, Thomas J.

    Published in Psychological review (01-10-2010)
    “…Stochastic accumulator models account for response time in perceptual decision-making tasks by assuming that perceptual evidence accumulates to a threshold…”
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  7. 7

    Norepinephrine potentiates and serotonin depresses visual cortical responses by transforming eligibility traces by Hong, Su Z., Mesik, Lukas, Grossman, Cooper D., Cohen, Jeremiah Y., Lee, Boram, Severin, Daniel, Lee, Hey-Kyoung, Hell, Johannes W., Kirkwood, Alfredo

    Published in Nature communications (09-06-2022)
    “…Reinforcement allows organisms to learn which stimuli predict subsequent biological relevance. Hebbian mechanisms of synaptic plasticity are insufficient to…”
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  8. 8

    Dynamic decision making and value computations in medial frontal cortex by Bari, Bilal A, Cohen, Jeremiah Y

    “…Dynamic decision making requires an intact medial frontal cortex. Recent work has combined theory and single-neuron measurements in frontal cortex to advance…”
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  9. 9

    Subthreshold basis for reward-predictive persistent activity in mouse prefrontal cortex by Kim, Eunyoung, Bari, Bilal A., Cohen, Jeremiah Y.

    Published in Cell reports (Cambridge) (04-05-2021)
    “…Nervous systems maintain information internally using persistent activity changes. The mechanisms by which this activity arises are incompletely understood. We…”
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  10. 10

    Locus coeruleus spiking differently correlates with S1 cortex activity and pupil diameter in a tactile detection task by Yang, Hongdian, Bari, Bilal A, Cohen, Jeremiah Y, O'Connor, Daniel H

    Published in eLife (15-03-2021)
    “…We examined the relationships between activity in the locus coeruleus (LC), activity in the primary somatosensory cortex (S1), and pupil diameter in mice…”
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  11. 11

    Mechanisms of adjustments to different types of uncertainty in the reward environment across mice and monkeys by Woo, Jae Hyung, Aguirre, Claudia G., Bari, Bilal A., Tsutsui, Ken-Ichiro, Grabenhorst, Fabian, Cohen, Jeremiah Y., Schultz, Wolfram, Izquierdo, Alicia, Soltani, Alireza

    “…Despite being unpredictable and uncertain, reward environments often exhibit certain regularities, and animals navigating these environments try to detect and…”
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  12. 12

    Entropy-based metrics for predicting choice behavior based on local response to reward by Trepka, Ethan, Spitmaan, Mehran, Bari, Bilal A., Costa, Vincent D., Cohen, Jeremiah Y., Soltani, Alireza

    Published in Nature communications (12-11-2021)
    “…For decades, behavioral scientists have used the matching law to quantify how animals distribute their choices between multiple options in response to…”
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    A clock-dependent brake for rhythmic arousal in the dorsomedial hypothalamus by Liu, Qiang, Bell, Benjamin J., Kim, Dong Won, Lee, Sang Soo, Keles, Mehmet F., Liu, Qili, Blum, Ian D., Wang, Annette A., Blank, Elijah J., Xiong, Jiali, Bedont, Joseph L., Chang, Anna J., Issa, Habon, Cohen, Jeremiah Y., Blackshaw, Seth, Wu, Mark N.

    Published in Nature communications (11-10-2023)
    “…Circadian clocks generate rhythms of arousal, but the underlying molecular and cellular mechanisms remain unclear. In Drosophila , the clock output molecule…”
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    Tactile processing in mouse cortex depends on action context by Finkel, Eric A., Chang, Yi-Ting, Dasgupta, Rajan, Lubin, Emily E., Xu, Duo, Minamisawa, Genki, Chang, Anna J., Cohen, Jeremiah Y., O’Connor, Daniel H.

    Published in Cell reports (Cambridge) (23-04-2024)
    “…The brain receives constant tactile input, but only a subset guides ongoing behavior. Actions associated with tactile stimuli thus endow them with behavioral…”
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  17. 17

    Aversive stimuli bias corticothalamic responses to motivationally significant cues by Lucantonio, Federica, Kim, Eunyoung, Su, Zhixiao, Chang, Anna J, Bari, Bilal A, Cohen, Jeremiah Y

    Published in eLife (05-11-2021)
    “…Making predictions about future rewards or punishments is fundamental to adaptive behavior. These processes are influenced by prior experience. For example,…”
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  18. 18

    Neural Basis of the Set-Size Effect in Frontal Eye Field: Timing of Attention During Visual Search by Cohen, Jeremiah Y, Heitz, Richard P, Woodman, Geoffrey F, Schall, Jeffrey D

    Published in Journal of neurophysiology (01-04-2009)
    “…Department of Psychology, Vanderbilt Vision Research Center, Center for Integrative and Cognitive Neuroscience, Vanderbilt Brain Institute, Vanderbilt…”
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  19. 19

    Simultaneous recordings of pupil size variation and locus coeruleus activity in mice by Megemont, Marine, Tortorelli, Lucas S., McBurney-Lin, Jim, Cohen, Jeremiah Y., O’Connor, Daniel H., Yang, Hongdian

    Published in STAR protocols (15-03-2024)
    “…An extensive literature describes how pupil size reflects neuromodulatory activity, including the noradrenergic system. Here, we present a protocol for the…”
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  20. 20

    Neural correlates of correct and errant attentional selection revealed through N2pc and frontal eye field activity by Heitz, Richard P, Cohen, Jeremiah Y, Woodman, Geoffrey F, Schall, Jeffrey D

    Published in Journal of neurophysiology (01-11-2010)
    “…The goal of this study was to obtain a better understanding of the physiological basis of errors of visual search. Previous research has shown that search…”
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