12 found
Order:
  1. Brain-to-Brain Coupling: A Mechanism for Creating and Sharing a Social World.Uri Hasson, Asif A. Ghazanfar, Bruno Galantucci, Simon Garrod & Christian Keysers - 2012 - Trends in Cognitive Sciences 16 (2):114-121.
  2. Is Neocortex Essentially Multisensory?Asif A. Ghazanfar & Charles E. Schroeder - 2006 - Trends in Cognitive Sciences 10 (6):278-285.
  3.  47
    The Emergence of Multisensory Systems Through Perceptual Narrowing.David J. Lewkowicz & Asif A. Ghazanfar - 2009 - Trends in Cognitive Sciences 13 (11):470-478.
  4.  22
    The Evolution of Speech: Vision, Rhythm, Cooperation.Asif A. Ghazanfar & Daniel Y. Takahashi - 2014 - Trends in Cognitive Sciences 18 (10):543-553.
  5.  38
    Statistical Learning of Social Signals and its Implications for the Social Brain Hypothesis.Hjalmar K. Turesson & Asif A. Ghazanfar - 2011 - Interaction Studies 12 (3):397-417.
    The social brain hypothesis implies that humans and other primates evolved “modules“ for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  6.  7
    Eye Movements of Monkey Observers Viewing Vocalizing Conspecifics.Asif A. Ghazanfar, Kristina Nielsen & Nikos K. Logothetis - 2006 - Cognition 101 (3):515-529.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  7.  22
    Hanging Around with Baboons.Asif A. Ghazanfar - 2001 - Trends in Cognitive Sciences 5 (8):366-367.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  8.  18
    Multisensory Integration Beyond the Neocortex.Asif A. Ghazanfar & Charles E. Schroeder - 2006 - Trends in Cognitive Sciences 10 (6):278-285.
    Direct download  
     
    Export citation  
     
    Bookmark  
  9.  14
    Distributed Neural Substrates and the Evolution of Speech Production.Asif A. Ghazanfar & Donald B. Katz - 1998 - Behavioral and Brain Sciences 21 (4):516-517.
    There is evidence of reciprocal connectivity, similarity of oscillatory responses to stimulation of multiple motor and somatosensory cortices, whole system oscillation, and short- latency responses to behavioral perturbation. These suggest that frame/content may be instantiated by overlapping neural populations, and that the genesis of frame oscillations may be profitably thought of as an emergent property of a distributed neural system.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  10.  8
    Evolution of Communication Systems: A Comparative Approach.Asif A. Ghazanfar - 2006 - Acta Biotheoretica 54 (2):147-150.
  11.  4
    Studies in These Taxa Have Given Us Significant Insights Into How Vocal Behavior Relates to Brain Design. Like Birds and Anurans, Many Nonhuman Pri-Mate (Hereafter, Primate) Species Produce Bouts.Cory T. Miller & Asif A. Ghazanfar - 2002 - In Marc Bekoff, Colin Allen & Gordon M. Burghardt (eds.), The Cognitive Animal: Empirical and Theoretical Perspectives on Animal Cognition. MIT Press. pp. 265.
    Direct download  
     
    Export citation  
     
    Bookmark  
  12.  3
    Statistical Learning of Social Signals and its Implications for the Social Brain Hypothesis.Hjalmar K. Turesson & Asif A. Ghazanfar - 2011 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 12 (3):397-417.
    The social brain hypothesis implies that humans and other primates evolved “modules” for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark