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Relevant bibliographies by topics / Pavlovian Conditioning

Academic literature on the topic 'Pavlovian Conditioning'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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Journal articles on the topic "Pavlovian Conditioning"

1

Lariviere, Nancy A., and Norman E. Spear. "Early Pavlovian conditioning impairs later Pavlovian conditioning." Developmental Psychobiology 29, no. 7 (November 1996): 613–35. http://dx.doi.org/10.1002/(sici)1098-2302(199611)29:7<613::aid-dev5>3.0.co;2-x.

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Martin, Irene, and A. B. Levey. "Human Pavlovian conditioning." Biological Psychology 27, no. 2 (October 1988): 203–6. http://dx.doi.org/10.1016/0301-0511(88)90053-1.

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Steinmetz, Joseph E., Gabrielle B. Britton, and John T. Green. "How is the feed-forward Pavlovian control system instantiated in neurobiology?" Behavioral and Brain Sciences 23, no. 2 (April 2000): 267. http://dx.doi.org/10.1017/s0140525x00422430.

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While feed-forward mechanisms may be ubiquitous in biological systems that form the substrates of Pavlovian conditioning, the control system proposed by Domjan, Cusato & Villarreal seems too elaborate for Pavlovian conditioning of simple skeletal muscle responses. We discuss here how the known neural substrates of classical eyeblink conditioning can be described in feed-forward terms, but argue that the monitor/comparator part of the system is not necessary and perhaps could even be detrimental to simple, nonsocial forms of Pavlovian conditioning.

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Domjan, Michael, Brian Cusato, and Ronald Villarreal. "Pavlovian feed-forward mechanisms in the control of social behavior." Behavioral and Brain Sciences 23, no. 2 (April 2000): 235–49. http://dx.doi.org/10.1017/s0140525x00002430.

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The conceptual and investigative tools for the analysis of social behavior can be expanded by integrating biological theory, control systems theory, and Pavlovian conditioning. Biological theory has focused on the costs and benefits of social behavior from ecological and evolutionary perspectives. In contrast, control systems theory is concerned with how machines achieve a particular goal or purpose. The accurate operation of a system often requires feed-forward mechanisms that adjust system performance in anticipation of future inputs. Pavlovian conditioning is ideally suited to subserve this function in behavioral systems. Pavlovian mechanisms have been demonstrated in various aspects of sexual behavior, maternal lactation, and infant suckling. Pavlovian conditioning of agonistic behavior has been also reported, and Pavlovian processes may likewise be involved in social play and social grooming. Several further lines of evidence indicate that Pavlovian conditioning can increase the efficiency and effectiveness of social interactions, thereby improving their cost/benefit ratio. We extend Pavlovian concepts beyond the traditional domain of discrete secretory and other physiological reflexes to complex real-world behavioral interactions and apply abstract laboratory analyses of the mechanisms of associative learning to the daily challenges animals face as they interact with one another in their natural environments.

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Grace, Randolph C., and John A. Nevin. "Behavioral momentum and Pavlovian conditioning." Behavioral and Brain Sciences 27, no. 5 (October 2004): 695–97. http://dx.doi.org/10.1017/s0140525x04230163.

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The constructs of behavioral mass in research on the momentum of operant behavior and associative strength in Pavlovian conditioning have some interesting parallels, as suggested by Savastano & Miller. Some recent findings challenge the strict separation of operant and Pavlovian determiners of response rate and resistance to change in behavioral momentum, renewing the need for research on the interaction of processes that have traditionally been studied separately. Relatedly, Furedy notes that some autonomic responses may be refractory to conditioning, but a combination of operant contingencies and enriched Pavlovian stimulus-reinforcer relations may prove effective.

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Gardner, Beatrix T., and R. Allen Gardner. "Beyond Pavlovian classical conditioning." Behavioral and Brain Sciences 12, no. 1 (March 1989): 143–44. http://dx.doi.org/10.1017/s0140525x00024651.

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Bond, Nigel W., and David A. T. Siddle. "Human Pavlovian conditioning: Commentaries." Biological Psychology 27, no. 2 (October 1988): 185–90. http://dx.doi.org/10.1016/0301-0511(88)90049-x.

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Cheng, Yankun, Ya Lin, Tao Zeng, Xuanyu Shan, Zhongqiang Wang, Xiaoning Zhao, Daniele Ielmini, Haiyang Xu, and Yichun Liu. "Pavlovian conditioning achieved via one-transistor/one-resistor memristive synapse." Applied Physics Letters 120, no. 13 (March 28, 2022): 133503. http://dx.doi.org/10.1063/5.0086867.

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Mimicking Pavlovian conditioning by memristive synapse is significant to implement neuromorphic computing at the hardware level. In this work, we demonstrated the Pavlovian conditioning based on the artificial synapse architecture of one-transistor/one-resistor (1T1R), which included an AgInSbTe/α-C-based memristor as a variable resistance and an N-MOS transistor. Thanks to stable resistance switching behavior of memristor and outstanding controllability of device conductance by transistor gating of 1T1R, the experimental demonstration of the acquisition and extinction of Pavlovian conditioning were realized. Moreover, the temporal relation between the conditioned and unconditioned stimuli was also established in which the memory time of associative learning decreased with the increase in the interval of two stimuli. This work provided an idea to biorealistically mimic the Pavlovian conditioning, paving the way for memristive neuromorphic computing.

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Killeen, Peter R. "Boxing Day." Behavioral and Brain Sciences 23, no. 2 (April 2000): 259–60. http://dx.doi.org/10.1017/s0140525x00332435.

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A convincing case is made for the importance of conditioning in social interaction, but more than Pavlovian conditioning is involved: UR (unconditioned response) modification, imprinting, Skinnerian conditioning, and other forms of behavior modification are adduced as Pavlovian. Beyond its value as an icon, control theory is not brought to bear in an informative fashion on these phenomena.

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Crow, Terry, and Lian-Ming Tian. "Pavlovian Conditioning inHermissenda:A Circuit Analysis." Biological Bulletin 210, no. 3 (June 2006): 289–97. http://dx.doi.org/10.2307/4134565.

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Dissertations / Theses on the topic "Pavlovian Conditioning"

1

Stanhope, Kelly Jean. "Reinforcer representations in Pavlovian conditioning." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.257041.

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Murphy, Robin A. J. "Relative contingency learning in Pavlovian conditioning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0026/NQ50226.pdf.

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Harmer, Catherine Jane. "Environmental manipulations of appetitive Pavlovian conditioning." Thesis, University of York, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265664.

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Dopson, Jemma. "Fate of irrelevant stimuli in Pavlovian conditioning." Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/54505/.

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This thesis investigated the fate of irrelevant stimuli in Pavlovian conditioning. In Chapter 1, several theories of learning were evaluated with respect to findings related to blocking (Kamin, 1969) and the relative validity effect (Wagner, Logan, Haberlandt & Price 1968). The majority of these theories explain such effects by assuming that little is learned about irrelevant stimuli (e.g. Rescorla & Wagner, 1972 Mackintosh, 1975a Pearce & Hall, 1980). In contrast, the comparator hypothesis (e.g. Miller and Matzel, 1988) makes the assumption that learning about irrelevant stimuli occurs, but is not expressed. The three experiments reported in Chapter 2 tested this assumption using an extended version of the blocking procedure. In each case, an arrangement which, according to the comparator hypothesis, should cause a reversal of blocking failed to produce this result. The findings were, however, consistent with theories which assume that little is learned about irrelevant stimuli. The experiments reported in Chapters 3,4 and 5 were conducted to determine whether little is learned about these stimuli because animals do not attend to them (e.g. Mackintosh, 1975a Pearce & Hall, 1980). Discrimination training designed to measure associability changes was given, using an autoshaping procedure with pigeons, and a Pavlovian conditioning procedure with rats. The results ruled out several non-attentional interpretations, and suggested that an attentional process was involved, which, rather than directing the eyes towards relevant stimuli and away from irrelevant stimuli, operated once all stimuli had been perceived. The results were consistent with the theory of attention proposed by Mackintosh, although it is acknowledged that this theory has its limitations. In the final chapter, two hybrid theories that overcome these limitations were discussed.

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5

Urcelay, Gonzalo Pablo. "Potentiation and overshadowing in Pavlovian fear conditioning." Diss., Online access via UMI:, 2008.

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6

Overduin, Barend Jan Joost. "Pavlovian conditioning and binge eating some empirical explorations /." Maastricht : Maastricht : Rijksuniversiteit Limburg ; University Library, Maastricht University [Host], 1996. http://arno.unimaas.nl/show.cgi?fid=6270.

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Swan, J. "The role of predictive accuracy in Pavlovian conditioning." Thesis, Bucks New University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378415.

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Garfield, Joshua Benjamin Bernard Psychology Faculty of Science UNSW. "FG7142 attenuates expression of overexpectation in Pavlovian fear conditioning." Publisher:University of New South Wales. Psychology, 2008. http://handle.unsw.edu.au/1959.4/43241.

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The experiments reported in this thesis studied the mechanisms of expression of overexpectation of conditioned fear, as measured by freezing. In Stage I, rats were conditioned to fear a tone and a flashing light conditioned stimulus (CS) through pairings with a 0.5 mA, 1 s shock. In Stage II, overexpectation was trained by the reinforcement of a compound of these CSs with a shock of the same magnitude. Two compound ?? shock pairings produced an overexpectation effect, as measured by freezing to presentations of the tone alone, while further Stage II training caused over-training of overexpectation. Expression of the overexpectation effect produced by two compound ?? shock pairings could be prevented by pre-test injection of the benzodiazepine partial inverse agonist FG7142. This effect was dose-dependent and not due to state-dependent memory. Control experiments suggested that it was also not due to any general effect of FG7142 on the Pavlovian freezing response. Freezing to a tone that had been conditioned, but not subjected to any decremental training procedures, was unaffected by administration of FG7142 before either the conditioning or test session. FG7142 also did not affect freezing to a tone that had been subjected to an associative blocking procedure. The hypothesis that overexpectation of conditioned fear may be context-dependent was also tested. However, renewal was not observed. Rats that received Stage II training in a context distinct from the Stage I training context showed equivalent expression of overexpectation regardless of whether testing was conducted in the Stage I or Stage II training context. These results are consistent with the hypothesis that overexpectation, like extinction, leads to the imposition of a GABAA receptor-mediated mask on the fear CR. Moreover, they suggest that this masking of fear is the specific consequence of negative predictive error.

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Levita, Liat. "Pavlovian aversive conditioning : the role of the nucleus accumbens." Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621288.

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10

Jones, Dirk Andrew. "Functional neuroanatomy of blocking and inhibition of Pavlovian conditioning /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Books on the topic "Pavlovian Conditioning"

1

Graham, Davey, ed. Cognitive processes and Pavlovian conditioning in humans. Chichester [West Sussex]: Wiley, 1987.

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2

Rescorla, Robert. Pavlovian Second-Order Conditioning (Psychology Revivals). Psychology Press, 2014. http://dx.doi.org/10.4324/9781315768380.

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Rescorla, Robert A. Pavlovian Second-Order Conditioning: Studies in Associative Learning. Taylor & Francis Group, 2014.

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Pavlovian Second-Order Conditioning: Studies in Associative Learning. Taylor & Francis Group, 2014.

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Rescorla, Robert A. Pavlovian Second-Order Conditioning: Studies in Associative Learning. Taylor & Francis Group, 2015.

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Rescorla, Robert A. Pavlovian Second-Order Conditioning: Studies in Associative Learning. Taylor & Francis Group, 2014.

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Rescorla, Robert A. Pavlovian Second-Order Conditioning: Studies in Associative Learning. Taylor & Francis Group, 2014.

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Rescorla, Robert A. Pavlovian Second-Order Conditioning: Studies in Associative Learning. Taylor & Francis Group, 2014.

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9

Vlaeyen, Johan W. S. Learning and Conditioning in Chronic Pain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190627898.003.0004.

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This chapter highlights the ways that individuals learn to adapt to changes due to painful experiences. Learning is the observable change in behavior due to events in the internal and external environment, and it includes non-associative (habituation and sensitization) and associative learning (Pavlovian and operant conditioning). Once acquired, new knowledge representations remain stored in memory and may generalize to perceptually or functionally similar events. Moreover, these processes are not just a consequence of pain; they may also modulate the perception of pain. In contrast to the rapid acquisition of learned responses, their extinction is slow, fragile, and context-dependent, and it only occurs through inhibitory processes. The chapter reviews features of associative forms of learning in humans that contribute to pain, pain-related distress, and disability. It concludes with a discussion of promising future directions.

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Bauer, Elizabeth P., and Denis Paré. Behavioral Neuroscience of Circuits Involved in Fear Processing. Edited by Israel Liberzon and Kerry J. Ressler. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190215422.003.0002.

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Normal fear regulation includes the ability to learn by experience that some circumstances predict danger. This process, which can be modeled in the laboratory using Pavlovian fear conditioning, appears to be disrupted in individuals with post-traumatic stress disorder (PTSD). Understanding of the mechanisms underlying fear learning has progressed tremendously in the last 25 years, and constitutes a promising paradigm to study the neural bases of PTSD. This chapter first reviews current knowledge of the brain structures involved in fear learning, expression and extinction, including the contributions of the amygdala and prefrontal cortex. It then addresses how these circuits are affected by PTSD and how fear processing is altered in PTSD. Understanding PTSD within a fear-conditioning and extinction framework provides insight into why certain individuals are susceptible to developing PTSD and suggests potential therapies.

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Book chapters on the topic "Pavlovian Conditioning"

1

McAllister-Williams, R. Hamish, Daniel Bertrand, Hans Rollema, Raymond S. Hurst, Linda P. Spear, Tim C. Kirkham, Thomas Steckler, et al. "Pavlovian Conditioning." In Encyclopedia of Psychopharmacology, 973–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1431.

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Gottlieb, Daniel A. "Pavlovian Conditioning." In Encyclopedia of the Sciences of Learning, 2563–67. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1041.

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Lattal, K. Matthew. "Pavlovian conditioning." In APA handbook of behavior analysis, Vol. 1: Methods and principles., 283–306. Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/13937-013.

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4

Domjan, Michael. "Pavlovian Conditioning." In Encyclopedia of Sciences and Religions, 1608. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_200120.

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Anagnostaras, Stephan G., Jennifer R. Sage, and Stephanie A. Carmack. "Pavlovian Fear Conditioning." In Encyclopedia of Psychopharmacology, 1237–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36172-2_161.

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Hogarth, Lee. "Classical (Pavlovian) Conditioning." In Encyclopedia of Psychopharmacology, 359–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36172-2_7043.

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McAllister-Williams, R. Hamish, Daniel Bertrand, Hans Rollema, Raymond S. Hurst, Linda P. Spear, Tim C. Kirkham, Thomas Steckler, et al. "Pavlovian Fear Conditioning." In Encyclopedia of Psychopharmacology, 974–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_161.

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8

Hoyer, Daniel, Eric P. Zorrilla, Pietro Cottone, Sarah Parylak, Micaela Morelli, Nicola Simola, Nicola Simola, et al. "Classical (Pavlovian) Conditioning." In Encyclopedia of Psychopharmacology, 290–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_168.

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9

Fanselow, Michael S., and Sarah R. Sterlace. "Pavlovian Fear Conditioning." In The Wiley Blackwell Handbook of Operant and Classical Conditioning, 117–41. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118468135.ch6.

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Anagnostaras, Stephan G., Jennifer R. Sage, and Stephanie A. Carmack. "Pavlovian Fear Conditioning." In Encyclopedia of Psychopharmacology, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27772-6_161-2.

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Conference papers on the topic "Pavlovian Conditioning"

1

Carrere, Maxime, and Frederic Alexandre. "Modeling pavlovian conditioning with multiple neuronal populations." In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280716.

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Hulea, Mircea, and Alexandru Barleanu. "Electronic neural network for modelling the Pavlovian conditioning." In 2017 21st International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2017. http://dx.doi.org/10.1109/icstcc.2017.8107032.

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Lin, Jiaying, Ryuji Nagazawa, Kien Nguyen, Hiroo Sekiya, Hiroyuki Torikai, Mikio Hasegawa, and Won-Joo Hwang. "Pavlovian Conditioning Modeling Using Wireless Spiking Neural Network." In 2023 20th International SoC Design Conference (ISOCC). IEEE, 2023. http://dx.doi.org/10.1109/isocc59558.2023.10396156.

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Antonietti, Alberto, Claudia Casellato, Egidio D'Angelo, and Alessandra Pedrocchi. "Bioinspired Adaptive Spiking Neural Network to Control NAO Robot in a Pavlovian Conditioning Task." In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE, 2018. http://dx.doi.org/10.1109/biorob.2018.8487202.

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Yao, Lin, Tao Xie, Xiaokang Shu, Xinjun Sheng, Dingguo Zhang, and Xiangyang Zhu. "Long-term paired sensory stimulation training for improved motor imagery BCI performance via pavlovian conditioning theory." In 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2015. http://dx.doi.org/10.1109/ner.2015.7146567.

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Ball, John M., Ali H. Hummos, and Satish S. Nair. "A Firing-Rate Lateral Amygdala Network Model With Calcium-Dependent Synaptic Learning." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6117.

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Neurons in the nervous system communicate by spiking, which activates synaptic connections via the release of neurotransmitter molecules. Modification of the strength of these synaptic connections, known as plasticity, is a mechanism by which networks of neurons can exhibit learning. Previously, a biophysical model of a rodent lateral amygdala was developed that could learn and store auditory fear and extinction memories following classical Pavlovian fear conditioning [1]. We propose a novel reduced order model that preserves the learning capabilities of the detailed model with considerably fewer computations while providing additional insights into the synaptic learning process. To capture the dynamics of individual cells, we propose enhancements to the Wilson-Cowan firing rate model that permit “full” spike frequency adaptation and a non-zero threshold. To incorporate synaptic learning dynamics, we propose a regression technique to capture the nonlinear relationship between firing rate and synaptic [Ca2+]. The resulting method provides a general technique to develop neuronal networks that employ [Ca2+]-dependent synaptic learning.

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