The new cognitive neurosciences

Shows the many advances in the field of cognitive neurosciences. From the molecular level up to that of human consciousness, the contributions cover one of the most fascinating areas of science - the relationship between the structural and physiological mechanisms of the brain/nervous system.

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[75]  A. Doupe A neural circuit specialized for vocal learning , 1993, Current Opinion in Neurobiology.

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[77]  M. Kutas,et al.  Bridging the Gap: Evidence from ERPs on the Processing of Unbounded Dependencies , 1993, Journal of Cognitive Neuroscience.

[78]  S. Volman,et al.  Development of neural selectivity for birdsong during vocal learning , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

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[82]  J. Wild Descending projections of the songbird nucleus robustus archistriatalis , 1993, The Journal of comparative neurology.

[83]  Richard D. Platt,et al.  Darwinian algorithms and the Wason selection task: A factorial analysis of social contract selection task problems , 1993, Cognition.

[84]  Peter Hagoort,et al.  The Processing Nature of the N400: Evidence from Masked Priming , 1993, Journal of Cognitive Neuroscience.

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[88]  D Margoliash,et al.  Global synchronous response to autogenous song in zebra finch HVc. , 1994, Journal of neurophysiology.

[89]  Suzanne Mannes,et al.  Global Semantic Expectancy and Language Comprehension , 1994, Journal of Cognitive Neuroscience.

[90]  Gregory F Ball,et al.  Characterization and localization of D1 dopamine receptors in the sexually dimorphic vocal control nucleus, area X, and the basal ganglia of European starlings. , 1994, Journal of neurobiology.

[91]  A. Leslie Pretending and believing: issues in the theory of ToMM , 1994, Cognition.

[92]  K. P. Unnikrishnan,et al.  Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks , 1994, Neural Computation.

[93]  Terrence J. Sejnowski,et al.  A Novel Reinforcement Model of Birdsong Vocalization Learning , 1994, NIPS.

[94]  T. Reed Performance of autistic and control subjects on three cognitive perspective-taking tasks , 1994, Journal of autism and developmental disorders.

[95]  G. Hatano,et al.  Young children's naive theory of biology , 1994, Cognition.

[96]  E.C.L. Vu,et al.  Identification of a forebrain motor programming network for the learned song of zebra finches , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

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[102]  S. Gaulin Does evolutionary theory predict sex differences in the brain , 1995 .

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[107]  Vijaykumar Gullapalli,et al.  Direct associative reinforcement learning methods for dynamic systems control , 1995, Neurocomputing.

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[109]  M. Kutas,et al.  Who Did What and When? Using Word- and Clause-Level ERPs to Monitor Working Memory Usage in Reading , 1995, Journal of Cognitive Neuroscience.

[110]  M S Lewicki,et al.  Mechanisms underlying the sensitivity of songbird forebrain neurons to temporal order. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[111]  G. E. Vates,et al.  Feedback circuitry within a song-learning pathway. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[112]  Julie C. Sedivy,et al.  Resolving attachment ambiguities with multiple constraints , 1995, Cognition.

[113]  Franz Goller,et al.  Implications for lateralization of bird song from unilateral gating of bilateral motor patterns , 1995, Nature.

[114]  E. Bizzi,et al.  The Cognitive Neurosciences , 1996 .

[115]  Masahiko Morita,et al.  Memory and Learning of Sequential Patterns by Nonmonotone Neural Networks , 1996, Neural Networks.

[116]  Vicka R. Corey,et al.  On the Language Specificity of the Brain Response to Syntactic Anomalies: Is the Syntactic Positive Shift a Member of the P300 Family? , 1996, Journal of Cognitive Neuroscience.

[117]  L Cosmides,et al.  CHARACTERIZING H U M A N PSYCHOLOGICAL ADAPTATIONS , 2005 .

[118]  P Mitchell,et al.  Overly literal interpretations of speech in autism: understanding that messages arise from minds. , 1997, Journal of Child Psychology and Psychiatry and Allied Disciplines.

[119]  G Gratton,et al.  Can we measure correlates of neuronal activity with non-invasive optical methods? , 1997, Advances in experimental medicine and biology.

[120]  Lee Osterhout,et al.  Event-related brain potentials and human language , 1997, Trends in Cognitive Sciences.

[121]  G. Mulder,et al.  When syntax meets semantics. , 1997, Psychophysiology.

[122]  A. Arnold,et al.  Developmental plasticity in neural circuits for a learned behavior. , 1997, Annual review of neuroscience.

[123]  A. Gopnik,et al.  Words, thoughts, and theories , 1997 .

[124]  Andrew G. Barto,et al.  Reinforcement learning , 1998 .

[125]  A. Leslie,et al.  Solving belief problems: toward a task analysis , 1998, Cognition.

[126]  A. Leslie,et al.  Inhibitory processing in the false belief task: Two conjectures , 1998 .

[127]  V. Slaughter,et al.  Children's understanding of pictorial and mental representations. , 1998, Child development.

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[129]  V. Smith,et al.  Behavioral foundations of reciprocity: experimental economics and evolutionary psychology , 1998 .

[130]  Gary L. Brase,et al.  Individuation, counting, and statistical inference: The role of frequency and whole-object representations in judgment under uncertainty , 1998 .

[131]  Peter Hagoort,et al.  The neurocognition of syntactic processing , 1999 .

[132]  Marta Kutas,et al.  Current approaches to mapping language in electromagnetic space. , 1999 .

[133]  M Rugg,et al.  Functional neuroimaging in cognitive neurosicence , 1999 .