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10.1016/j.tics.2016.03.011 http://scihub22266oqcxt.onion/10.1016/j.tics.2016.03.011 C4875847!4875847 !27133227     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27133227 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27133227 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Trends+Cogn+Sci 2016 ; 20 (6 ): 444-455 Nephropedia Template TP {{tp|p=27133227 |t=2016. Decoding the Nature of Emotion in the Brain |pdf=|usr=}}{{27133227 }} gab.com Text Decoding the Nature of Emotion in the Brain JO: Trends Cogn Sci http://www.kidney.de/pget.php?&tw=1&pmid=27133227 #FOAvip A central, unresolved problem in affective neuroscience is understanding how emotions are represented in nervous system activity. After prior localization approaches largely failed, researchers began applying multivariate statistical tools to reconceptualize how emotion constructs might be embedded in large-scale brain networks. Findings from pattern analyses of neuroimaging data show that affective dimensions and emotion categories are uniquely represented in the activity of distributed neural systems that span cortical and subcortical regions. Results from multiple-category decoding studies are incompatible with theories postulating that specific emotions emerge from the neural coding of valence and arousal. This 'new look' into emotion representation promises to improve and reformulate neurobiological models of affect. Twit Text FOAVip Decoding the Nature of Emotion in the Brain ????Trends Cogn Sci http://www.kidney.de/pget.php?&tw=1&pmid=27133227 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27133227 #FOAvip English Wikipedia <ref>{{Cite pmid|27133227 }}</ref> Decoding the Nature of Emotion in the Brain #MMPMID27133227 Kragel PA ; LaBar KS Trends Cogn Sci 2016[Jun]; 20 (6 ): 444-455 PMID27133227 show ga A central, unresolved problem in affective neuroscience is understanding how emotions are represented in nervous system activity. After prior localization approaches largely failed, researchers began applying multivariate statistical tools to reconceptualize how emotion constructs might be embedded in large-scale brain networks. Findings from pattern analyses of neuroimaging data show that affective dimensions and emotion categories are uniquely represented in the activity of distributed neural systems that span cortical and subcortical regions. Results from multiple-category decoding studies are incompatible with theories postulating that specific emotions emerge from the neural coding of valence and arousal. This 'new look' into emotion representation promises to improve and reformulate neurobiological models of affect. |*Brain Mapping [MESH] |*Neuroimaging [MESH] |Arousal/physiology [MESH] |Brain/*physiology [MESH] |Emotions/*physiology [MESH] |Humans [MESH]Decoding the Nature of Emotion in the Brain (epmc).pdf DeepDyve Pubget Overpricing