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Journal articles on the topic 'Overexpectation'

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1

Rescorla, Robert A. "Renewal after overexpectation." Animal Learning & Behavior 35, no. 1 (February 2007): 19–26. http://dx.doi.org/10.3758/bf03196070.

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2

Lay, Belinda P. P., Melissa Nicolosi, Alexandra A. Usypchuk, Guillem R. Esber, and Mihaela D. Iordanova. "Dissociation of Appetitive Overexpectation and Extinction in the Infralimbic Cortex." Cerebral Cortex 29, no. 9 (October 29, 2018): 3687–701. http://dx.doi.org/10.1093/cercor/bhy248.

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Abstract Behavioral change is paramount to adaptive behavior. Two ways to achieve alterations in previously established behavior are extinction and overexpectation. The infralimbic (IL) portion of the medial prefrontal cortex controls the inhibition of previously established aversive behavioral responses in extinction. The role of the IL cortex in behavioral modification in appetitive Pavlovian associations remains poorly understood. Here, we seek to determine if the IL cortex modulates overexpectation and extinction of reward learning. Using overexpectation or extinction to achieve a reduction in behavior, the present findings uncover a dissociable role for the IL cortex in these paradigms. Pharmacologically inactivating the IL cortex left overexpectation intact. In contrast, pre-training manipulations in the IL cortex prior to extinction facilitated the reduction in conditioned responding but led to a disrupted extinction retrieval on test drug-free. Additional studies confirmed that this effect is restricted to the IL and not dependent on the dorsally-located prelimbic cortex. Together, these results show that the IL cortex underlies extinction but not overexpectation-driven reduction in behavior, which may be due to regulating the expression of conditioned responses influenced by stimulus–response associations rather than stimulus–stimulus associations.
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3

Rescorla, Robert A. "Spontaneous recovery from overexpectation." Learning & Behavior 34, no. 1 (February 2006): 13–20. http://dx.doi.org/10.3758/bf03192867.

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4

Sissons, Heather T., and Ralph R. Miller. "Overexpectation and trial massing." Journal of Experimental Psychology: Animal Behavior Processes 35, no. 2 (2009): 186–96. http://dx.doi.org/10.1037/a0013426.

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5

Packheiser, Julian, Roland Pusch, Clara C. Stein, Onur Güntürkün, Harald Lachnit, and Metin Uengoer. "How competitive is cue competition?" Quarterly Journal of Experimental Psychology 73, no. 1 (August 14, 2019): 104–14. http://dx.doi.org/10.1177/1747021819866967.

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Cue competition refers to phenomena indicating that learning about the relationship between a cue and an outcome is influenced by learning about the predictive significance of other cues that are concurrently present. In two autoshaping experiments with pigeons, we investigated the strength of competition among cues for predictive value. In each experiment, animals received an overexpectation training (A+, D+ followed by AD+). In addition, the training schedule of each experiment comprised two control conditions—one condition to evaluate the presence of overexpectation (B+ followed by BY+) and a second one to assess the strength of competition among cues (C+ followed by CZ−). Training trials were followed by a test with individual stimuli (A, B, C). Experiment 1 revealed no evidence for cue competition as responding during the test mirrored the individual cue–outcome contingencies. The test results from Experiment 2, which included an outcome additivity training, showed cue competition in form of an overexpectation effect as responding was weaker for Stimulus A than Stimulus B. However, the test results from Experiment 2 also revealed that responding to Stimulus A was stronger than to Stimulus C, which indicates that competition among cues was not as strong as predicted by some influential theories of associative learning.
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6

Witnauer, James E., and Ralph R. Miller. "Contrasting the overexpectation and extinction effects." Behavioural Processes 81, no. 2 (June 2009): 322–27. http://dx.doi.org/10.1016/j.beproc.2009.01.010.

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7

Lattal, K. Matthew, and Sadahiko Nakajima. "Overexpectation in appetitive Pavlovian and instrumental conditioning." Animal Learning & Behavior 26, no. 3 (September 1998): 351–60. http://dx.doi.org/10.3758/bf03199227.

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8

Rescorla, Robert A. "Summation and overexpectation with qualitatively different outcomes." Animal Learning & Behavior 27, no. 1 (March 1999): 50–62. http://dx.doi.org/10.3758/bf03199431.

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9

Ruprecht, Chad M., Haydee S. Izurieta, Joshua E. Wolf, and Kenneth J. Leising. "Overexpectation in the context of reward timing." Learning and Motivation 47 (August 2014): 1–11. http://dx.doi.org/10.1016/j.lmot.2014.01.004.

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10

Khallad, Yacoub, and Jay Moore. "BLOCKING, UNBLOCKING, AND OVEREXPECTATION IN AUTOSHAPING WITH PIGEONS." Journal of the Experimental Analysis of Behavior 65, no. 3 (May 1996): 575–91. http://dx.doi.org/10.1901/jeab.1996.65-575.

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11

Garfield, Joshua B. B., and Gavan P. McNally. "The effects of FG7142 on overexpectation of Pavlovian fear conditioning." Behavioral Neuroscience 123, no. 1 (2009): 75–85. http://dx.doi.org/10.1037/a0013814.

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12

Falconer, Peter. "US Congressional Oversight as a Victim of Overexpectation: A Review Article." Politics 12, no. 1 (April 1992): 9–14. http://dx.doi.org/10.1111/j.1467-9256.1992.tb00201.x.

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13

Lay, Belinda P. P., Melissa Nicolosi, Alexandra A. Usypchuk, Guillem R. Esber, and Mihaela D. Iordanova. "Corrigendum: Dissociation of Appetitive Overexpectation and Extinction in the Infralimbic Cortex." Cerebral Cortex 29, no. 4 (December 27, 2018): 1703. http://dx.doi.org/10.1093/cercor/bhy338.

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14

Arico, Carolyn, and Gavan P. McNally. "Opioid receptors regulate blocking and overexpectation of fear learning in conditioned suppression." Behavioral Neuroscience 128, no. 2 (2014): 199–206. http://dx.doi.org/10.1037/a0036133.

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15

Kehoe, E. J. "Overexpectation: Response Loss During Sustained Stimulus Compounding in the Rabbit Nictitating Membrane Preparation." Learning & Memory 11, no. 4 (July 14, 2004): 476–83. http://dx.doi.org/10.1101/lm.77604.

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16

Nagaishi, Takatoshi. "Overexpectation effect in human contingency judgment: A Study of application of a RPG task." Proceedings of the Annual Convention of the Japanese Psychological Association 82 (September 25, 2018): 2AM—079–2AM—079. http://dx.doi.org/10.4992/pacjpa.82.0_2am-079.

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17

Holland, Peter C. "Effects of amygdala lesions on overexpectation phenomena in food cup approach and autoshaping procedures." Behavioral Neuroscience 130, no. 4 (August 2016): 357–75. http://dx.doi.org/10.1037/bne0000149.

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18

Rasmussen, Anders, Riccardo Zucca, Fredrik Johansson, Dan-Anders Jirenhed, and Germund Hesslow. "Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla–Wagner model." Proceedings of the National Academy of Sciences 112, no. 45 (October 26, 2015): 14060–65. http://dx.doi.org/10.1073/pnas.1516986112.

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A central tenet of Rescorla and Wagner’s model of associative learning is that the reinforcement value of a paired trial diminishes as the associative strength between the presented stimuli increases. Despite its fundamental importance to behavioral sciences, the neural mechanisms underlying the model have not been fully explored. Here, we present findings that, taken together, can explain why a stronger association leads to a reduced reinforcement value, within the context of eyeblink conditioning. Specifically, we show that learned pause responses in Purkinje cells, which trigger adaptively timed conditioned eyeblinks, suppress the unconditional stimulus (US) signal in a graded manner. Furthermore, by examining how Purkinje cells respond to two distinct conditional stimuli and to a compound stimulus, we provide evidence that could potentially help explain the somewhat counterintuitive overexpectation phenomenon, which was derived from the Rescorla–Wagner model.
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19

Jang, YeiBeech, and SeoungHo Ryu. "The Role of Parenting Behavior in Adolescents' Problematic Mobile Game Use." Social Behavior and Personality: an international journal 44, no. 2 (March 23, 2016): 269–82. http://dx.doi.org/10.2224/sbp.2016.44.2.269.

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With the rapid growth of smartphone use, problematic mobile game use among youth has become an increasingly salient social concern in South Korea. In this study, we empirically explored the relationship between parenting behavior and adolescents' problematic mobile game use. On the basis of the developmental perspective, we focused on students in 3 different age groups (N = 1,018: elementary school, n = 401; middle school: n = 333; high school, n = 284) and observed noticeable differences according to age group. According to the hierarchical multiple regression results, overexpectation was positively related to problematic mobile game use in all 3 age groups. However, affection was negatively related to problematic mobile game use only in the elementary school group, and monitoring was negatively related to problematic mobile game use only in the high school group. Implications of the findings are discussed.
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20

Blaisdell, Aaron P., James C. Denniston, and Ralph R. Miller. "Recovery from the overexpectation effect: Contrasting performance-focused and acquisition-focused models of retrospective revaluation." Animal Learning & Behavior 29, no. 4 (November 2001): 367–80. http://dx.doi.org/10.3758/bf03192902.

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21

McNally, Gavan P., Michael Pigg, and Gabrielle Weidemann. "Blocking, Unblocking, and Overexpectation of Fear: A Role for Opioid Receptors in the Regulation of Pavlovian Association Formation." Behavioral Neuroscience 118, no. 1 (2004): 111–20. http://dx.doi.org/10.1037/0735-7044.118.1.111.

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22

Haney, R. Z., D. J. Calu, Y. K. Takahashi, B. W. Hughes, and G. Schoenbaum. "Inactivation of the Central But Not the Basolateral Nucleus of the Amygdala Disrupts Learning in Response to Overexpectation of Reward." Journal of Neuroscience 30, no. 8 (February 24, 2010): 2911–17. http://dx.doi.org/10.1523/jneurosci.0054-10.2010.

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23

Lucantonio, Federica, Sarita Kambhampati, Richard Z. Haney, Deniz Atalayer, Neil E. Rowland, Yavin Shaham, and Geoffrey Schoenbaum. "Effects of Prior Cocaine Versus Morphine or Heroin Self-Administration on Extinction Learning Driven by Overexpectation Versus Omission of Reward." Biological Psychiatry 77, no. 10 (May 2015): 912–20. http://dx.doi.org/10.1016/j.biopsych.2014.11.017.

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24

Lay, Belinda PP, Audrey A. Pitaru, Nathan Boulianne, Guillem R. Esber, and Mihaela D. Iordanova. "Different methods of fear reduction are supported by distinct cortical substrates." eLife 9 (June 26, 2020). http://dx.doi.org/10.7554/elife.55294.

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Understanding how learned fear can be reduced is at the heart of treatments for anxiety disorders. Tremendous progress has been made in this regard through extinction training in which the aversive outcome is omitted. However, current progress almost entirely rests on this single paradigm, resulting in a very specialized knowledgebase at the behavioural and neural level of analysis. Here, we used a dual-paradigm approach to show that different methods that lead to reduction in learned fear in rats are dissociated in the cortex. We report that the infralimbic cortex has a very specific role in fear reduction that depends on the omission of aversive events but not on overexpectation. The orbitofrontal cortex, a structure generally overlooked in fear, is critical for downregulating fear when novel predictions about upcoming aversive events are generated, such as when fear is inflated or overexpected, but less so when an expected aversive event is omitted.
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