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  1. Is a behaviorist's approach sufficient for understanding the brain?Thomas L. Bennett - 1981 - Behavioral and Brain Sciences 4 (3):476-477.
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  • Functions of the septo-hippocampal system.David S. Olton - 1982 - Behavioral and Brain Sciences 5 (3):494-495.
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  • The relationship between memory and anxiety.J. N. P. Rawlins - 1982 - Behavioral and Brain Sciences 5 (3):498-499.
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  • Précis of The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system.Jeffrey A. Gray - 1982 - Behavioral and Brain Sciences 5 (3):469-484.
    A model of the neuropsychology of anxiety is proposed. The model is based in the first instance upon an analysis of the behavioural effects of the antianxiety drugs in animals. From such psychopharmacologi-cal experiments the concept of a “behavioural inhibition system” has been developed. This system responds to novel stimuli or to those associated with punishment or nonreward by inhibiting ongoing behaviour and increasing arousal and attention to the environment. It is activity in the BIS that constitutes anxiety and that (...)
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  • The evolution of hesitation, doubt, and map-making.D. T. D. James - 1982 - Behavioral and Brain Sciences 5 (3):488-489.
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  • A maze in graphs.Christopher K. Riesbeck - 1982 - Behavioral and Brain Sciences 5 (4):648-648.
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  • Ecologizing world graphs.Robert E. Shaw & Ennio Mingolla - 1982 - Behavioral and Brain Sciences 5 (4):648-650.
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  • Standards for neural modeling.Jerome A. Feldman & David Zipser - 1982 - Behavioral and Brain Sciences 5 (4):642-642.
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  • The special nature of spatial information.Michael Potegal - 1982 - Behavioral and Brain Sciences 5 (4):647-648.
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  • On the content of representations.R. J. Nelson - 1982 - Behavioral and Brain Sciences 5 (3):384-384.
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  • A la représentation du temps perdu.John C. Marshall - 1982 - Behavioral and Brain Sciences 5 (3):382-383.
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  • On the hippocampus, time, and interference.Leonard E. Jarrard - 1985 - Behavioral and Brain Sciences 8 (3):503-504.
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  • Natural kinds.Stephen P. Schwartz - 1981 - Behavioral and Brain Sciences 4 (2):301-302.
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  • Implementations, algorithms, and more.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498-505.
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  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
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  • Connectionism and motivation are compatible.Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (3):487-487.
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  • The hippocampal system: Dissociating its functional components and recombining them in the service of declarative memory.Howard Eichenbaum, Tim Otto & Neal J. Cohen - 1996 - Behavioral and Brain Sciences 19 (4):772-776.
    Continuing commentary raised several issues concerning our proposal that the hippocampus, parahippocampal region, and cortical association areas mediate different aspects of memory function. Recent relevant findings strengthen our argument that neocortical areas and the parahippocampal region maintain persistent encodings of specific single items and that the hippocampus mediates representations of the relations among these items. The reciprocally and closely interconnected structures that compose the hippocampal memory system work interactively to support flexible memory expression that is relevant to the natural behavior (...)
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  • Memory buffer and comparator can share the same circuitry.J. A. Gray - 1985 - Behavioral and Brain Sciences 8 (3):501-501.
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  • Could three frames suffice?Roger A. Browse & Brian E. Butler - 1985 - Behavioral and Brain Sciences 8 (2):290-291.
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  • The hippocampus, synaptic enhancement, and intermediate-term memory.B. L. McNaughton & C. A. Barnes - 1985 - Behavioral and Brain Sciences 8 (3):507-508.
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  • Tunnel vision will not suffice.Jerome A. Feldman - 1985 - Behavioral and Brain Sciences 8 (2):302-313.
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  • Reticulo-cortical activity and behavior: A critique of the arousal theory and a new synthesis.C. H. Vanderwolf & T. E. Robinson - 1981 - Behavioral and Brain Sciences 4 (3):459-476.
    It is traditionally believed that cerebral activation (the presence of low voltage fast electrical activity in the neocortex and rhythmical slow activity in the hippocampus) is correlated with arousal, while deactivation (the presence of large amplitude irregular slow waves or spindles in both the neocortex and the hippocampus) is correlated with sleep or coma. However, since there are many exceptions, these generalizations have only limited validity. Activated patterns occur in normal sleep (active or paradoxical sleep) and during states of anesthesia (...)
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  • Four frames suffice: A provisional model of vision and space.Jerome A. Feldman - 1985 - Behavioral and Brain Sciences 8 (2):265-289.
    This paper presents a general computational treatment of how mammals are able to deal with visual objects and environments. The model tries to cover the entire range from behavior and phenomenological experience to detailed neural encodings in crude but computationally plausible reductive steps. The problems addressed include perceptual constancies, eye movements and the stable visual world, object descriptions, perceptual generalizations, and the representation of extrapersonal space.The entire development is based on an action-oriented notion of perception. The observer is assumed to (...)
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  • Behavioral problems related to the interpretation of brain rhythms.György Buzsáki, Robert L. Isaacson & John H. Hannigan - 1981 - Behavioral and Brain Sciences 4 (3):477-477.
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  • Modelling Animal Creativity from Uexküllian Approach—Attention, Search Image and Search Tone.Siiri Tarrikas - 2022 - Biosemiotics 15 (3):531-553.
    In this article, creativity is defined as a semiotic phenomenon, as a process in which the boundaries of habits and norms of social communication are exceeded and by which the challenges offered by the environment are solved. Here it is indicated that there is a direct link between attention and animal creativity and shown that there are at least two possibilities for creativity to work – one that needs attention and one which doesn’t. Animal creativity can work through several different (...)
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  • An atropine-sensitive and a less atropine-sensitive system.Robert P. Vertes - 1981 - Behavioral and Brain Sciences 4 (3):493-494.
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  • Reticular formation, brain waves, and coma.George G. Somjen - 1981 - Behavioral and Brain Sciences 4 (3):489-489.
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  • Memory: A matter of fitness.Juan D. Delius - 1982 - Behavioral and Brain Sciences 5 (3):375-376.
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  • Metatheory of animal behavior.Erwin M. Segal - 1982 - Behavioral and Brain Sciences 5 (3):386-387.
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  • Units “of” selection: The end of “of”?F. J. Odling-Smee & H. C. Plotkin - 1981 - Behavioral and Brain Sciences 4 (2):295-296.
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  • Taxonomy is older than thinking: Epigenetic decisions.Andrew Packard - 1981 - Behavioral and Brain Sciences 4 (2):296-297.
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  • The demise of mental representations.Edward S. Reed - 1981 - Behavioral and Brain Sciences 4 (2):297-298.
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  • Biopopulations, not biospecies, are individuals and evolve.Mario Bunge - 1981 - Behavioral and Brain Sciences 4 (2):284-285.
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  • Pick your poison: Historicism, essentialism, and emergentism in the definition of species.Arthur L. Caplan - 1981 - Behavioral and Brain Sciences 4 (2):285-286.
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  • Categories, life, and thinking.Michael T. Ghiselin - 1981 - Behavioral and Brain Sciences 4 (2):269-283.
    Classifying is a fundamental operation in the acquisition of knowledge. Taxonomic theory can help students of cognition, evolutionary psychology, ethology, anatomy, and sociobiology to avoid serious mistakes, both practical and theoretical. More positively, it helps in generating hypotheses useful to a wide range of disciplines. Composite wholes, such as species and societies, are “individuals” in the logical sense, and should not be treated as if they were classes. A group of analogous features is a natural kind, but a group of (...)
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  • Universals, particulars, and paradigms.Helen Heise - 1981 - Behavioral and Brain Sciences 4 (2):289-290.
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  • Categorization and affordances.Rebecca K. Jones & Anne D. Pick - 1981 - Behavioral and Brain Sciences 4 (2):292-293.
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  • Underestimating the importance of the implementational level.Michael Van Kleeck - 1987 - Behavioral and Brain Sciences 10 (3):497-498.
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  • Ambiguities in “the algorithmic level”.Alvin I. Goldman - 1987 - Behavioral and Brain Sciences 10 (3):484-485.
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  • The development of theory: Logic of method or underlying processes?Charles P. Shimp - 1985 - Behavioral and Brain Sciences 8 (3):511-512.
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  • Associations across time: The hippocampus as a temporary memory store.J. N. P. Rawlins - 1985 - Behavioral and Brain Sciences 8 (3):479-497.
    All recent memory theories of hippocampal function have incorporated the idea that the hippocampus is required to process items only of some qualitatively specifiahle kind, and is not required to process items of some complementary set. In contrast, it is now proposed that the hippocampus is needed to process stimuli of all kinds, but only when there is a need to associate those stimuli with other events that are temporally discontiguous. In order to form or use temporally discontiguous associations, it (...)
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  • Connectionism: There's something to it.Stephen M. Kosslyn, Scott D. Mainwaring & Thomas A. Corcoran - 1985 - Behavioral and Brain Sciences 8 (2):297-298.
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  • Reliable computation in parallel networks.Keith Oatley - 1985 - Behavioral and Brain Sciences 8 (2):299-299.
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  • Cellular mechanisms of cholinergic arousal.K. Krnjević - 1981 - Behavioral and Brain Sciences 4 (3):484-485.
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  • Behaviorism and voluntarism.O. S. Vinogradova - 1981 - Behavioral and Brain Sciences 4 (3):496-497.
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  • The anatomy of anxiety?Karl H. Pribram & Diane McGuinness - 1982 - Behavioral and Brain Sciences 5 (3):496-498.
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  • Inferring anxiety and antianxiety effects in animals.Philippe Soubrié - 1982 - Behavioral and Brain Sciences 5 (3):502-503.
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  • The heuristic value of representation.Thomas R. Zentall - 1982 - Behavioral and Brain Sciences 5 (3):393-394.
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  • Antimisrepresentationalism.A. Charles Catania - 1982 - Behavioral and Brain Sciences 5 (3):374-375.
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  • Cognitive psychology's representation of behaviorism.A. W. Logue - 1982 - Behavioral and Brain Sciences 5 (3):381-382.
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