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  1. Michael A. Arbib (forthcoming). Complex Imitation and the Language-Ready Brain. Language and Cognition.
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  2. Michael A. Arbib (forthcoming). Précis of How the Brain Got Language: The Mirror System Hypothesis. Language and Cognition.
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  3. Michael A. Arbib & Giacomo Rizzolatti (forthcoming). Neural Expectations: A Possible Evolutionary Path From Manual Skills to Language. Communication and Cognition.
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  4. Michael A. Arbib (2012). Tool Use and Constructions. Behavioral and Brain Sciences 35 (4):218-219.
    We examine tool use in relation to the capacity of animals for construction, contrasting tools and nests; place human tool use in a more general problem-solving context, revisiting the body schema in the process; and relate the evolution of language and of tool use.
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  5. Michael A. Arbib (2011). Review Essay: Niche Construction and the Evolution of Language: Was Territory Scavenging the One Key Factor? Review Essay for Derek Bickerton (2009), Adams Tongue. How Humans Made Language, How Language Made Humans. New York: Hill Wang. Interaction Studies 12 (1):162-193.
  6. Michael A. Arbib (2008). Holophrasis and the Protolanguage Spectrum. Interaction Studies 9 (1):154-168.
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  7. Michael A. Arbib & James Bonaiuto (2007). From Grasping to Complex Imitation: Mirror Systems on the Path to Language. Mind and Society 7 (1):43-64.
    We focus on the evolution of action capabilities which set the stage for language, rather than analyzing how further brain evolution built on these capabilities to yield a language-ready brain. Our framework is given by the Mirror System Hypothesis, which charts a progression from a monkey-like mirror neuron system (MNS) to a chimpanzee-like mirror system that supports simple imitation and thence to a human-like mirror system that supports complex imitation and language. We present the MNS2 model, a new model of (...)
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  8. Michael A. Arbib (2005). From Monkey-Like Action Recognition to Human Language: An Evolutionary Framework for Neurolinguistics. Behavioral and Brain Sciences 28 (2):105-124.
    The article analyzes the neural and functional grounding of language skills as well as their emergence in hominid evolution, hypothesizing stages leading from abilities known to exist in monkeys and apes and presumed to exist in our hominid ancestors right through to modern spoken and signed languages. The starting point is the observation that both premotor area F5 in monkeys and Broca's area in humans contain a “mirror system” active for both execution and observation of manual actions, and that F5 (...)
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  9. Michael A. Arbib (2005). Interweaving Protosign and Protospeech: Further Developments Beyond the Mirror. Interaction Studies 6 (2):145-171.
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  10. Michael A. Arbib (2005). The Mirror System Hypothesis Stands but the Framework is Much Enriched. Behavioral and Brain Sciences 28 (2):149-159.
    Challenges for extending the mirror system hypothesis include mechanisms supporting planning, conversation, motivation, theory of mind, and prosody. Modeling remains relevant. Co-speech gestures show how manual gesture and speech intertwine, but more attention is needed to the auditory system and phonology. The holophrastic view of protolanguage is debated, along with semantics and the cultural basis of grammars. Anatomically separated regions may share an evolutionary history.
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  11. Michael A. Arbib (2004). Beware the Passionate Robot. In J. Fellous (ed.), Who Needs Emotions. Oxford University Press.
     
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  12. Michael A. Arbib & Mihail Bota (2004). Response to Deacon: Evolving Mirror Systems: Homologies and the Nature of Neuroinformatics. Trends in Cognitive Sciences 8 (7):290-291.
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  13. Michael A. Arbib & Jean-Marc Fellous (2004). Emotions: From Brain to Robot. Trends in Cognitive Sciences 8 (12):554-561.
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  14. Michael A. Arbib & Jean-Marc Fellous (2004). Three Main Neuromodulatory Systems Involved in Emotion. Trends in Cognitive Sciences 8 (12):554-561.
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  15. Michael A. Arbib (2003). Brain, Meaning, Grammar, Evolution. Behavioral and Brain Sciences 26 (6):668-669.
    I reject Jackendoff's view of Universal Grammar as something that evolved biologically but applaud his integration of blackboard architectures. I thus recall the HEARSAY speech understanding system—the AI system that introduced the concept of “blackboard”—to provide another perspective on Jackendoff's architecture.
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  16. Michael A. Arbib (2003). Protosign and Protospeech: An Expanding Spiral. Behavioral and Brain Sciences 26 (2):209-210.
    The intriguing observation that left-cerebral dominance for vocalization is ancient, occurring in frogs, birds, and mammals, grounds Corballis's argument that the predominance of right-handedness may result from an association between manual gestures and vocalization in the evolution of language. This commentary supports the general thesis that language evolved “From hand to mouth” (Corballis 2002), while offering alternatives for some of Corballis's supporting arguments.
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  17. Michael A. Arbib (2003). Predicates: External Description or Neural Reality? Behavioral and Brain Sciences 26 (3):285-286.
    Hurford argues that propositions of the form PREDICATE(x) represent conceptual structures that predate language and that can be explicated in terms of neural structure. I disagree, arguing that such predicates are descriptions of limited aspects of brain function, not available as representations in the brain to be exploited in the frog or monkey brain and turned into language in the human.
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  18. Michael A. Arbib (2002). Grounding the Mirror System Hypothesis for the Evolution of the Language-Ready Brain. In. In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer-Verlag. 229--254.
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  19. Michael A. Arbib (2002). Semantic Networks. In M. Arbib (ed.), The Handbook of Brain Theory and Neural Networks. Mit Press.
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  20. Michael A. Arbib (ed.) (2002). The Handbook of Brain Theory and Neural Networks, Second Edition. MIT Press.
    A new, dramatically updated edition of the classic resource on the constantly evolving fields of brain theory and neural networks.
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  21. Michael A. Arbib (2001). Co-Evolution of Human Consciousness and Language. Annals of the New York Academy of Sciences 929:195-220.
  22. Michael A. Arbib (2000). Warren McCulloch's Search for the Logic of the Nervous System. Perspectives in Biology and Medicine 43 (2):193-216.
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  23. Michael A. Arbib & Peter Érdi (2000). Organizing the Brain's Diversities. Behavioral and Brain Sciences 23 (4):551-565.
    We clarify the arguments in Neural organization: Structure, function, and dynamics, acknowledge important contributions cited by our critics, and respond to their criticisms by charting directions for further development of our integrated approach to theoretical and empirical studies of neural organization. We first discuss functional organization in general (behavior versus cognitive functioning, the need to study body and brain together, function in ontogeny and phylogeny) and then focus on schema theory (noting that schema theory is not just a top-down theory (...)
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  24. Michael A. Arbib & Péter Érdi (2000). Précis of Neural Organization: Structure, Function, and Dynamics. Behavioral and Brain Sciences 23 (4):513-533.
    Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. (1) Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae of hippocampus. (2) Function: Control (...)
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  25. Michael A. Arbib & Giacomo Rizzolatti (1999). 6 Neural Expectations. In Philip R. Loockvane (ed.), The Nature of Concepts: Evolution, Structure, and Representation. Routledge.
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  26. Michael A. Arbib (1998). Self and Society: Between God and Brain. Trends in Cognitive Sciences 2 (10):377-378.
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  27. Michael A. Arbib & Jacob Spoelstra (1997). Microcomplexes: The Basic Unit of the Cerebellar Role in Adaptive Motor Control. Behavioral and Brain Sciences 20 (2):245-246.
    We offer a critique of the role of the parallel fiber beam as the unit of cerebellar computation, with the as its mode of operation. Instead we see the microcomplex linking cerebellar cortex and nuclei as the unit, with parallel fibers providing the means to coordinate the effects of microcomplexes in modulating various motor pattern generators (MPGs).
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  28. Michael A. Arbib (1996). Spanning the Levels in Cerebellar Function. Behavioral and Brain Sciences 19 (3):434-435.
    We ask what cerebellum and basal ganglia arguing that cerebellum tunes motor schemas and their coordination. We argue for a synthesis of models addressing the real-time role and error signaling roles of climbing fibers. bridges between regional and neuro-physiological studies, while relates the neurochemis-try of learning to neural and behavioral levels. [CRÉPEL et al.; HOUK et al.; KANO; LINDEN; SIMPSON et al.; SMITH; THACH; VINCENT].
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  29. Michael A. Arbib (ed.) (1995). Handbook of Brain Theory and Neural Networks. MIT Press.
  30. Michael A. Arbib (1993). From Cooperative Computation to Man/Machine Symbiosis. Behavioral and Brain Sciences 16 (4):748.
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  31. Michael A. Arbib (1992). Schemas, Grasping, Tensors and Avoidance. Behavioral and Brain Sciences 15 (2):322-323.
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  32. Michael A. Arbib (1990). A Piagetian Perspective on Mathematical Construction. Synthese 84 (1):43 - 58.
    In this paper, we offer a Piagetian perspective on the construction of the logico-mathematical schemas which embody our knowledge of logic and mathematics. Logico-mathematical entities are tied to the subject's activities, yet are so constructed by reflective abstraction that they result from sensorimotor experience only via the construction of intermediate schemas of increasing abstraction. The axiom set does not exhaust the cognitive structure (schema network) which the mathematician thus acquires. We thus view truth not as something to be defined within (...)
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  33. Michael A. Arbib (1989). Modularity, Schemas and Neurons: A Critique of Fodor. In Peter Slezak (ed.), Computers, Brains and Minds. Kluwer. 193--219.
  34. Michael A. Arbib (1987). Advantages of Experimentation in Neuroscience. Behavioral and Brain Sciences 10 (3):368.
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  35. Michael A. Arbib (1987). Levels of Modeling of Mechanisms of Visually Guided Behavior. Behavioral and Brain Sciences 10 (3):407.
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  36. Michael A. Arbib (1987). Many Levels: More Than One is Algorithmic. Behavioral and Brain Sciences 10 (3):478.
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  37. Michael A. Arbib (1987). Of Schemas, Neural Nets, and Rana Computatrix. Behavioral and Brain Sciences 10 (3):451.
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  38. Michael A. Arbib (1986). The Construction of Reality. Cambridge University Press.
    In this book, Michael Arbib, a researcher in artificial intelligence and brain theory, joins forces with Mary Hesse, a philosopher of science, to present an integrated account of how humans "construct" reality through interaction with the social and physical world around them. The book is a major expansion of the Gifford Lectures delivered by the authors at the University of Edinburgh in the autumn of 1983. The authors reconcile a theory of the individual's construction of reality as a network of (...)
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  39. Michael A. Arbib (1985). RolandoLaraElenaSandovalWilliBorchers. Cognitive Science 9 (4):399-401.
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  40. Michael A. Arbib (1985). Rolando Lara Elena Sandoval Willi Borchers. Cognitive Science 9 (4):399-401.
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  41. Michael A. Arbib (1984). Neuroethology: A Call for Less Exclusivity and More Theory. Behavioral and Brain Sciences 7 (3):381.
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  42. Michael A. Arbib (1983). Knowledge is Mutable. Behavioral and Brain Sciences 6 (1):64.
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  43. Israel Lieblich & Michael A. Arbib (1982). Multiple Representations of Space Underlying Behavior. Behavioral and Brain Sciences 5 (4):627.
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  44. Israel Lieblich & Michael A. Arbib (1982). World Graphs: A Partial Model of Spatial Behavior. Behavioral and Brain Sciences 5 (4):651.
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  45. Michael A. Arbib (1981). A New Synthesis? Behavioral and Brain Sciences 4 (4):619.
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  46. Michael A. Arbib (1979). Cooperative Computation as a Concept for Brain Theory. Behavioral and Brain Sciences 2 (3):475-483.
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  47. Michael A. Arbib & David Caplan (1979). Neurolinguistics Must Be Computational. Behavioral and Brain Sciences 2 (3):449-460.
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  48. Michael A. Arbib (1978). On Making Distinctions That Are Not Maintained. Behavioral and Brain Sciences 1 (2):227.
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  49. Michael A. Arbib (1978). The Halting Problem for Computational Cognitive Psychology. Behavioral and Brain Sciences 1 (1):100.
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  50. Michael A. Arbib & Ernest G. Manes (1975). A Category-Theoretic Approach to Systems in a Fuzzy World. Synthese 30 (3-4):381 - 406.
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