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10.1016/j.neuron.2014.10.018 http://scihub22266oqcxt.onion/10.1016/j.neuron.2014.10.018 C4255477!4255477 !25442941     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25442941 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Neuron 2014 ; 84 (3 ): 638-54 Nephropedia Template TP {{tp|p=25442941 |t=2014. Computational psychiatry |pdf=|usr=}}{{25442941 }} gab.com Text Computational psychiatry JO: Neuron http://www.kidney.de/pget.php?&tw=1&pmid=25442941 #FOAvip Psychiatric disorders such as autism and schizophrenia, arise from abnormalities in brain systems that underlie cognitive, emotional, and social functions. The brain is enormously complex and its abundant feedback loops on multiple scales preclude intuitive explication of circuit functions. In close interplay with experiments, theory and computational modeling are essential for understanding how, precisely, neural circuits generate flexible behaviors and their impairments give rise to psychiatric symptoms. This Perspective highlights recent progress in applying computational neuroscience to the study of mental disorders. We outline basic approaches, including identification of core deficits that cut across disease categories, biologically realistic modeling bridging cellular and synaptic mechanisms with behavior, and model-aided diagnosis. The need for new research strategies in psychiatry is urgent. Computational psychiatry potentially provides powerful tools for elucidating pathophysiology that may inform both diagnosis and treatment. To achieve this promise will require investment in cross-disciplinary training and research in this nascent field. Twit Text FOAVip Computational psychiatry ????Neuron http://www.kidney.de/pget.php?&tw=1&pmid=25442941 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25442941 #FOAvip English Wikipedia <ref>{{Cite pmid|25442941 }}</ref> Computational psychiatry #MMPMID25442941 Wang XJ ; Krystal JH Neuron 2014[Nov]; 84 (3 ): 638-54 PMID25442941 show ga Psychiatric disorders such as autism and schizophrenia, arise from abnormalities in brain systems that underlie cognitive, emotional, and social functions. The brain is enormously complex and its abundant feedback loops on multiple scales preclude intuitive explication of circuit functions. In close interplay with experiments, theory and computational modeling are essential for understanding how, precisely, neural circuits generate flexible behaviors and their impairments give rise to psychiatric symptoms. This Perspective highlights recent progress in applying computational neuroscience to the study of mental disorders. We outline basic approaches, including identification of core deficits that cut across disease categories, biologically realistic modeling bridging cellular and synaptic mechanisms with behavior, and model-aided diagnosis. The need for new research strategies in psychiatry is urgent. Computational psychiatry potentially provides powerful tools for elucidating pathophysiology that may inform both diagnosis and treatment. To achieve this promise will require investment in cross-disciplinary training and research in this nascent field. |*Computational Biology [MESH] |*Psychiatry [MESH] |Brain/pathology [MESH] |Humans [MESH]Computational psychiatry (epmc).pdf DeepDyve Pubget Overpricing