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Готові списки джерел за темами / Behavioural neuroscience of learning and memory / Книги

Книги з теми "Behavioural neuroscience of learning and memory"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Clark, Robert E., and Stephen J. Martin, eds. Behavioral Neuroscience of Learning and Memory. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78757-2.

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2

1947-, Osaka Naoyuki, Logie Robert H, and D'Esposito Mark, eds. The cognitive neuroscience of working memory: Behavioural and neural correlates. Oxford: Oxford University Press, 2007.

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3

Rainer, Kluwe, Lüer Gerd 1938-, and Rösler Frank, eds. Principles of learning and memory. Basel: Birkhäuser Verlag, 2003.

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4

Human learning: Biology, brain, and neuroscience. Amsterdam: Elsevier/North-Holland, 2008.

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5

D, Rugg M., ed. Cognitive neuroscience. Cambridge, Mass: MIT Press, 1997.

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6

1932-, Andrew Richard John, ed. Neural and behavioural plasticity: The use of the domestic chick as a model. Oxford: Oxford University Press, 1991.

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7

Morrison, Glenn Everett. The behavioural and genetic analysis of associative learning and memory in Caenorhabditis elegans. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1995.

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8

Atkinson-Leadbeater, Karen. The genetic and behavioural analysis of olfactory learning and memory in caenorhabditis elegans. Ottawa: National Library of Canada, 2003.

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9

The neuroscience of animal intelligence: From the seahare to the seahorse. New York: Columbia University Press, 1993.

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10

Gluck, Mark A. Gateway to memory: An introduction to neural network modeling of the hippocampus and learning. Cambridge, Mass: MIT Press, 2001.

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11

Baldi, Elisabetta, and Corrado Bucherelli. Neuroscience. Florence: Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-638-5.

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Анотація:

This bibliographic material is patrimony of our Laboratory of the Behavior Physiology. This research unit originated in 1972 by will of Aldo Giachetti (until 1990) and with the beginning of the activity of Corrado Bucherelli. In the early 1980s, with Carlo Ambrogi Lorenzini (until 2004), the cataloging became more capillary and systematic, to continue to this day. All the researchers who worked in our laboratory contributed to this collection (Giovanna Tassoni 1986-2000, Benedetto Sacchetti 1996-2002 and Elisabetta Baldi from 1991). The study of learning, memory and behavior requires to follow a broad spectrum of neuroscience topics, ranging from neuronal biochemistry to neuropsychology. The Authors’ idea of publishing this collection comes from believing that a such website, though not exhaustive, might be a useful and targeted tool for the selection of bibliographic material in the field of behavioral neuroscience. The bibliographic references present at the publication (29500), accompanied by a brief comment highlighting the contents, are organized in relation to the topics (represented by the 99 themes) constituting the publication itself. The intersection of several references will point out the topics that represent them simultaneously. Concerning neurotransmitters and neuromodulators, references to agonists, antagonists or molecules interfering with the activity of these synapses have been inserted in the pages of the implicated neurotransmitter (e.g. acetylcholine). The pages including topics that could have been dealt with separately (e.g. active and passive avoidance) are introduced by a short explanatory note. The comment of each publication highlights the animal species used. Each comment is intended to indicate the content rather than the experimental results of paper. This choice comes from wanting to provide the reader with a more objective and less speculative comment.

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12

Royal Society (Great Britain). Discussion Meeting. Behavioural and neural aspects of learning and memory: Proceedings of a Royal Society Discussion Meeting held on 1 and 2 February 1990. Oxford [England]: Clarendon Press, 1991.

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13

The cerebral code: Thinking a thought in the mosaics of the mind. Cambridge, Mass: MIT Press, 1996.

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14

Martin, Stephen, and Robert E. Clark. Behavioral Neuroscience of Learning and Memory. Springer, 2018.

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15

Behavioral Neuroscience of Learning and Memory. Springer, 2019.

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16

Krebs, J. R., and G. Horn, eds. Behavioural and Neural Aspects of Learning and Memory. Oxford University Press, 1991. http://dx.doi.org/10.1093/acprof:oso/9780198521983.001.0001.

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17

Wixted, John T., Elizabeth A. Phelps, and Lila Davachi. Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Learning and Memory. Wiley & Sons, Incorporated, John, 2018.

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18

Stelmach, George, Aaron S. Benjamin, J. Steven de Belle, Bruce Etnyre, and Thad A. Polk. Human Learning: Biology, Brain, and Neuroscience. Elsevier Science & Technology Books, 2008.

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19

McGaugh, James L., and Gordon L. Shaw. Neurobiology of Learning and Memory (World Scientific Advance Series on Neuroscience). World Scientific Publishing Company, 1991.

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20

Thompson, Richard F. Learning and Memory: Neurobiologic Aspects (Readings from the Encyclopedia of Neuroscience). Birkhauser, 1989.

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21

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Learning and Memory. Wiley, 2018.

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22

Wixted, John T., Elizabeth A. Phelps, and Lila Davachi. Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Learning and Memory. Wiley & Sons, Incorporated, John, 2018.

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23

Rugg, Michael D. Cognitive Neuroscience. Taylor & Francis Group, 2013.

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24

Rugg, Michael D. Cognitive Neuroscience. Taylor & Francis Group, 2013.

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25

Rugg, Michael D. Cognitive Neuroscience. Taylor & Francis Group, 2013.

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26

Rugg, Michael D. Cognitive Neuroscience. Taylor & Francis Group, 2013.

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27

D, Woody Charles, Alkon Daniel L, and McGaugh James L, eds. Cellular mechanisms of conditioning and behavioural plasticity. Plenum Press, 1988.

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28

(Editor), James L. McGaugh, ed. Neurobiology of Learning and Memory (World Scientific Advanced Series in Neuroscience Vol. 2). World Scientific Pub Co Inc, 1989.

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29

Macphail, E. M. Neuroscience of Animal Intelligence: From the Seahare to the Seahorse. Columbia University Press, 1993.

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30

Amsel, Abram. Frustration Theory: An Analysis of Dispositional Learning and Memory (Problems in the Behavioural Sciences). Cambridge University Press, 2006.

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31

(Editor), Gernot Riedel, and Bettina Platt (Editor), eds. From Messengers to Molecules: Memories are Made of These (Neuroscience Intelligence Unit). Springer, 2004.

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32

Machamer, Peter K. Learning, Neuroscience, and the Return of Behaviorism. Edited by John Bickle. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195304787.003.0008.

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Анотація:

This article attempts to answer questions concerning the relation of neuroscience to behaviorism. It explains the meaning of behaviorism and investigates whether all scientific experiments in learning and memory are designed according to repetition, classical conditioning, and stimulus-response-reward (SRR) paradigms. It also examines whether reward leaning and classical conditioning can be generalized in a way that allows explanations of all forms of memory encoding and learning that animals and humans accomplish.

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33

Haslam, Catherine, and Roy P. C. Kessels. Errorless Learning in Neuropsychological Rehabilitation: Mechanisms, Efficacy and Application. Taylor & Francis Group, 2018.

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34

Haslam, Catherine, and Roy P. C. Kessels. Errorless Learning in Neuropsychological Rehabilitation: Mechanisms, Efficacy and Application. Taylor & Francis Group, 2018.

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35

Haslam, Catherine, and Roy P. C. Kessels. Errorless Learning in Neuropsychological Rehabilitation: Mechanisms, Efficacy and Application. Taylor & Francis Group, 2017.

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36

Errorless Learning in Neuropsychological Rehabilitation: Mechanisms, Efficacy and Application. Taylor & Francis Group, 2017.

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37

Haslam, Catherine, and Roy P. C. Kessels. Errorless Learning in Neuropsychological Rehabilitation: Mechanisms, Efficacy and Application. Taylor & Francis Group, 2018.

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38

Haslam, Catherine, and Roy P. C. Kessels. Errorless Learning in Neuropsychological Rehabilitation: Mechanisms, Efficacy and Application. Taylor & Francis Group, 2018.

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39

Gluck, Mark A., and Catherine E. Myers. Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning. MIT Press, 2001.

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40

Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology). The MIT Press, 2000.

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41

Recognizing Objects from Dynamic Visual Experiences. Berlin, Germany: Logos-Verlag Berlin, 2011.

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42

II, Luke Chad C. Neuroscience for Counselors and Therapists: Integrating the Sciences of Mind and Brain. SAGE Publications, Incorporated, 2015.

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43

II, Luke Chad C. Neuroscience for Counselors and Therapists: Integrating the Sciences of Mind and Brain. SAGE Publications, Incorporated, 2015.

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44

Byrnes, James P. Minds, Brains, and Learning: Understanding the Psychological and Educational Relevance of Neuroscientific Research. The Guilford Press, 2001.

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45

Minds, Brains, and Learning: Understanding the Psychological and Educational Relevance of Neuroscientific Research. The Guilford Press, 2001.

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46

Bickle, John, ed. The Oxford Handbook of Philosophy and Neuroscience. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195304787.001.0001.

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Анотація:

The Oxford Handbook of Philosophy and Neuroscience is a collection of interdisciplinary research spanning philosophy (of science, mind, and ethics) and current neuroscience. Containing articles written by some of the most prominent philosophers working in this area, and in some cases co-authored with neuroscientists, this volume reflects both the breadth and depth of current work in this field. Topics include the nature of explanation in neuroscience; whether and how current neuroscience is reductionistic; consequences of current research on the neurobiology of learning and memory, perception, and sensation; neuro computational modeling, and neuroanatomy; the burgeoning field of neuroethics and the neurobiology of motivation that increasingly informs it; implications from neurology and clinical neuropsychology, especially in light of some bizarre symptoms involving misrepresentations of self; the extent and consequences of multiple realization in actual neuroscience; the new field of neuro eudamonia; and the neurophilosophy of subjectivity. This volume demonstrates how current neuroscience is being brought to bear directly on philosophical issues, how some research programs are being enriched by interaction with philosophers, and how two seemingly disparate disciplines—one traditional and humanistic, the other new and scientific—are being brought together to both disciplines' mutual benefit.

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47

Smarter: The New Science of Building Brain Power. Plume, 2014.

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48

The Cerebral Code: Thinking a Thought in the Mosaics of the Mind. The MIT Press, 1998.

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49

Wyatt, Tristram D. 8. Applying behaviour. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198712152.003.0008.

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Анотація:

Our behaviour as humans has profound effects on the lives of other animals. ‘Applying behaviour’ explores some of the ways that we can use an understanding of animal behaviour to reduce our conflict with animals as we compete with them for food and space in the global environment. A better understanding of animal behaviour—including mating systems, imprinting, migration, and interactions with other species—can be an important part of attempts to conserve endangered animals. We can also attempt to make life better for our domesticated animals. Every way of studying animal behaviour—from neuroscience, development, learning, to behavioural ecology—can play a part.

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50

McNamara, John M., and Olof Leimar. Game Theory in Biology. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198815778.001.0001.

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Анотація:

Game theory in biology seeks to predict social behaviour and other traits that influence how individuals interact. It does this by tentatively assuming that current traits are stable endpoints of evolution by natural selection. The theory is used to model aggressive behaviour, cooperation, negotiation, and signalling, as well as phenotypic attributes like an individual’s sex and mating type. This book covers the basic concepts and the traditional examples of biological game theory. It expands the frontiers of the field, emphasizing the importance of the co-evolution of traits and the implications of variation for reputation, markets, negotiation, and other social phenomena. It also highlights that it can be important to embed game interactions in the environment and an individual’s life. A major new direction developed in the book is that game theory can be extended by incorporating behavioural mechanisms, including mechanisms of reinforcement learning. By doing this the theory can successfully describe important phenomena like social dominance in group-living animals that previously have been difficult to model. By focusing on behavioural mechanisms, game theory can also make closer contact with empirical observation and with current research in fields like animal psychology and neuroscience.

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