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  1. Bhismadev Chakrabarti (2013). Parameterising Ecological Validity and Integrating Individual Differences Within Second-Person Neuroscience. Behavioral and Brain Sciences 36 (4):414-415.
    This commentary situates the second person account within a broader framework of ecological validity for experimental paradigms in social cognitive neuroscience. It then considers how individual differences at psychological and genetic levels can be integrated within the proposed framework.
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  2. Bhismadev Chakrabarti & Simon Baron-Cohen (2013). Understanding the Genetics of Empathy and the Autistic Spectrum. In Simon Baron-Cohen, Michael Lombardo & Helen Tager-Flusberg (eds.), Understanding Other Minds: Perspectives From Developmental Social Neuroscience. Oup Oxford. 326.
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  3. Simon Baron-Cohen, Emma Ashwin, Chris Ashwin, Teresa Tavassoli & Bhismadev Chakrabarti (2010). Talent in Autism: Hyper-Systemizing, Hyper-Attention to Detail and Sensory Hyper-Sensitivity. In Francesca Happé & Uta Frith (eds.), Autism and Talent. Oup/the Royal Society.
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  4. Bhismadev Chakrabarti (2010). Eyes, Amygdala, and Other Models of Face Processing: Questions for the SIMS Model. Behavioral and Brain Sciences 33 (6):440-441.
    This commentary raises general questions about the parsimony and generalizability of the SIMS model, before interrogating the specific roles that the amygdala and eye contact play in it. Additionally, this situates the SIMS model alongside another model of facial expression processing, with a view to incorporating individual differences in emotion perception.
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  5. Bhismadev Chakrabarti & Simon Baron-Cohen (2008). Can the Shared Circuits Model (SCM) Explain Joint Attention or Perception of Discrete Emotions? Behavioral and Brain Sciences 31 (1):24-25.
    The shared circuits model (SCM) is a bold attempt to explain how humans make sense of action, at different levels. In this commentary we single out five concerns: (1) the lack of a developmental account, (2) the absence of double-dissociation evidence, (3) the neglect of joint attention and joint action, (4) the inability to explain discrete emotion perception, and (5) the lack of predictive power or testability of the model. We conclude that Hurley's model requires further work before it could (...)
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