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  1. Précis of Origins of the modern mind: Three stages in the evolution of culture and cognition.Merlin Donald - 1993 - Behavioral and Brain Sciences 16 (4):737-748.
    This book proposes a theory of human cognitive evolution, drawing from paleontology, linguistics, anthropology, cognitive science, and especially neuropsychology. The properties of humankind's brain, culture, and cognition have coevolved in a tight iterative loop; the main event in human evolution has occurred at the cognitive level, however, mediating change at the anatomical and cultural levels. During the past two million years humans have passed through three major cognitive transitions, each of which has left the human mind with a new way (...)
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  • Functional architectures for cognition: are simple inferences possible?Steven W. Zucker - 1980 - Behavioral and Brain Sciences 3 (1):153-154.
  • External representation: An issue for cognition.Jiajie Zhang - 1993 - Behavioral and Brain Sciences 16 (4):774-775.
  • Archaeological evidence for mimetic mind and culture.Thomas Wynn - 1993 - Behavioral and Brain Sciences 16 (4):774-774.
  • Stages versus continuity.Christopher Wills - 1993 - Behavioral and Brain Sciences 16 (4):773-773.
  • Grasping schemas is (are) difficult.H. T. A. Whiting - 1987 - Behavioral and Brain Sciences 10 (3):450-451.
  • Negation in Skinner's system.N. E. Wetherick - 1984 - Behavioral and Brain Sciences 7 (4):606-607.
  • Plasticity of cerebro-cerebellar interactions in patients with cerebellar dysfunction.Karl Wessel - 1996 - Behavioral and Brain Sciences 19 (3):481-482.
    Studies comparing movement-related cortical potentials, post-excitatory inhibition after transcranial magnetic brain stimulation, and PET findings in normal controls and patients with cerebellar degeneration demonstrate plasticity of cerebro-cerebellar interactions and hereby support Thach's theory that the cerebellum has the ability to play a role in building behavioral context-response linkages and to build up appropriate responses from simpler constitutive elements, [THACH].
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  • Eyeblink conditioning, motor control, and the analysis of limbic-cerebellar interactions.Craig Weiss & John F. Disterhoft - 1996 - Behavioral and Brain Sciences 19 (3):479-481.
    Several target articles in this BBS special issue address the topic of cerebellar and olivary functions, especially as they pertain to motor earning. Another important topic is the neural interaction between the limbic system and the cerebellum during associative learning. In this commentary we present some of our data on olivo-cerebellar and limbic-cerebellar interactions during eyeblink conditioning. [HOUK et al.; SIMPSON et al.; THACH].
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  • Cognition is not computation, for the reasons that computers don't solve the mind-body problems.Walter B. Weimer - 1980 - Behavioral and Brain Sciences 3 (1):152-153.
  • Schemas and bridging gaps in the behavioral and brain sciences.Johan P. Wagemans - 1987 - Behavioral and Brain Sciences 10 (3):449-450.
  • Schema theory: A new approach?W. von Seelen - 1987 - Behavioral and Brain Sciences 10 (3):448-449.
  • No more news from the cerebellum.Steven R. Vincent - 1996 - Behavioral and Brain Sciences 19 (3):490-492.
  • The egg revealed.William S. Verplanck - 1984 - Behavioral and Brain Sciences 7 (4):605-606.
  • Can a Saussurian ape be endowed with episodic memory only?Jacques Vauclair & Joël Fagot - 1993 - Behavioral and Brain Sciences 16 (4):772-773.
  • What behavioral benefit does stiffness control have? An elaboration of Smith's proposal.Gerard P. Van Galen, Angelique W. Hendriks & Willem P. DeJong - 1996 - Behavioral and Brain Sciences 19 (3):478-479.
  • Sensorimotor learning in structures “upstream” from the cerebellum.Paul van Donkelaar - 1996 - Behavioral and Brain Sciences 19 (3):477-478.
  • Schemata and representational constraints.Cees van Leeuwen - 1987 - Behavioral and Brain Sciences 10 (3):448-448.
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  • Schemas: Not yet an interlingua for the brain sciences.John K. Tsotsos - 1987 - Behavioral and Brain Sciences 10 (3):447-448.
  • Looking for nodes and edges.Arnold Trehub - 1982 - Behavioral and Brain Sciences 5 (4):650-651.
  • It's imitation, not mimesis.Michael Tomasello - 1993 - Behavioral and Brain Sciences 16 (4):771-772.
  • Limitations of PET and lesion studies in defining the role of the human cerebellum in motor learning.D. Timmann & H. C. Diener - 1996 - Behavioral and Brain Sciences 19 (3):477-477.
    PET studies using classical conditioning paradigms are reported. It is emphasized that PET studies show and not in learning paradigms. The importance of dissociating motor performance and learning deficits in human lesions studies is demonstrated in two exemplary studies. The different role of the cerebellum in adaptation of postural reflexes and learning of complex voluntary arm movements is discussed, [THACH].
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  • Motor learning and synaptic plasticity in the cerebellum.Richard F. Thompson - 1996 - Behavioral and Brain Sciences 19 (3):475-477.
    For reasons I have never understood, some students of the cerebellum have been unwilling to accept the now overwhelming evidence that the cerebellum exhibits lasting synaptic plasticity and plays an essential role in some forms of learning and memory. With a few exceptions (e.g., target article by SIMPSON et al.) this is no longer the case, as is clear in the excellent target articles on cerebellar LTD and the excellent target review by HOUK et al. [CRÉPEL et al.; HOUR et (...)
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  • Language, thought and consciousness in the modern mind.Evan Thompson - 1993 - Behavioral and Brain Sciences 16 (4):770-771.
  • Q: Is the cerebellum an adaptive combiner of motor and mental/motor activities? A: Yes, maybe, certainly not, who can say?W. Thomas Thach - 1996 - Behavioral and Brain Sciences 19 (3):501-528.
  • The computing frog.G. Székely - 1987 - Behavioral and Brain Sciences 10 (3):446-446.
  • We know a lot about the cerebellum, but do we know what motor learning is?Stephan P. Swinnen, Charles B. Walter & Natalia Dounskaia - 1996 - Behavioral and Brain Sciences 19 (3):474-475.
    In the behavioral literature on human movement, a distinction is made between the learning of parameters and the learning of new movement forms or topologies. Whereas the target articles by Thach, Smith, and Houk et al. provide evidence for cerebellar involvement in parametrization learning and adaptation, the evidence in favor of its involvement in the generation of new movement patterns is less straightforward. A case is made for focusing more attention on the latter issue in the future. This would directly (...)
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  • How to link the specificity of cerebellar anatomy to motor learning?Fahad Sultan, Detlef Heck & Harold Bekkering - 1996 - Behavioral and Brain Sciences 19 (3):474.
  • Computation without representation.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):152-152.
  • Operant analysis of problem solving: Answers to questions you probably don't want to ask.Robert J. Sternberg - 1984 - Behavioral and Brain Sciences 7 (4):605-605.
  • Rule-governed behavior in computational psychology.Edward P. Stabler - 1984 - Behavioral and Brain Sciences 7 (4):604-605.
  • A trace of memory.D. Nico Spinelli - 1982 - Behavioral and Brain Sciences 5 (4):650-650.
  • Computation and symbolization.William E. Smythe - 1980 - Behavioral and Brain Sciences 3 (1):151-152.
  • Resilient cerebellar theory complies with stiff opposition.Allan M. Smith - 1996 - Behavioral and Brain Sciences 19 (3):499-501.
    In response to several requests from commentators, an unambiguous definition of time-varying joint stiffness is provided. However, since a variety of different operations can be used to measure stiffness, a problem for quantification admittedly still exists. Several commentaries pointed out the advantage of controlling joint stiffness in optimizing the speed-accuracy trade-off known as Fittss law. The deficit in rapid reciprocal movements and the impact on joint stiffness inhibition caused by cerebellar lesions is clarified here, as the target article was apparently (...)
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  • Memory, text and the Greek Revolution.Jocelyn Penny Small - 1993 - Behavioral and Brain Sciences 16 (4):769-770.
  • Language and psychological reality: A discussion of Rudolf Botha's study.Peter Slezak - 1981 - Synthese 49 (December):427-439.
  • Contingencies and rules.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):607-613.
  • An operant analysis of problem solving.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):583-591.
    Behavior that solves a problem is distinguished by the fact that it changes another part of the solver's behavior and is strengthened when it does so. Problem solving typically involves the construction of discriminative stimuli. Verbal responses produce especially useful stimuli, because they affect other people. As a culture formulates maxims, laws, grammar, and science, its members behave more effectively without direct or prolonged contact with the contingencies thus formulated. The culture solves problems for its members, and does so by (...)
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  • More on climbing fiber signals and their consequence(s).J. I. Simpson, D. R. W. Wylie & C. I. De Zeeuw - 1996 - Behavioral and Brain Sciences 19 (3):496-498.
    Several themes can be identified in the commentaries. The first is that the climbing fibers may have more than one function; the second is that the climbing fibers provide sensory rather than motor signals. We accept the possibility that climbing fibers may have more than one function consequence(s)’ in the title. Until we know more about the function of the inhibitory input to the inferior olive from the cerebellar nuclei, which are motor structures, we have to keep open the possibility (...)
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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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  • Dysmetria of thought: Correlations and conundrums in the relationship between the cerebellum, learning, and cognitive processing.Jeremy D. Schmahmann - 1996 - Behavioral and Brain Sciences 19 (3):472-473.
  • New wine in old glasses?Joseph M. Scandura - 1984 - Behavioral and Brain Sciences 7 (4):602-603.
  • Cerebellar rhythms: Exploring another metaphor.Patrick D. Roberts, Gin McCollum & Jan E. Holly - 1996 - Behavioral and Brain Sciences 19 (3):471-472.
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  • Functional architecture and model validation.Martin Ringle - 1980 - Behavioral and Brain Sciences 3 (1):150-151.
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  • A maze in graphs.Christopher K. Riesbeck - 1982 - Behavioral and Brain Sciences 5 (4):648-648.
  • Penetrating the impenetrable.Georges Rey - 1980 - Behavioral and Brain Sciences 3 (1):149-150.
  • Response classes, operants, and rules in problem solving.Jan G. Rein - 1984 - Behavioral and Brain Sciences 7 (4):602-602.
  • Questions raised by the reinforcement paradigm.Anatol Rapoport - 1984 - Behavioral and Brain Sciences 7 (4):601-602.
  • Is there such a thing as a problem situation?Kjell Raaheim - 1984 - Behavioral and Brain Sciences 7 (4):600-601.
  • Schema theory: A broadening viewpoint.Tang Yi Qun - 1987 - Behavioral and Brain Sciences 10 (3):446-447.