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10.1523/JNEUROSCI.2654-15.2015 http://scihub22266oqcxt.onion/10.1523/JNEUROSCI.2654-15.2015 C4604229!4604229 !26468192     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26468192 &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\26468192 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Neurosci 2015 ; 35 (41 ): 13912-6 Nephropedia Template TP {{tp|p=26468192 |t=2015. Time in Cortical Circuits |pdf=|usr=}}{{26468192 }} gab.com Text Time in Cortical Circuits JO: J Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=26468192 #FOAvip Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. This neural activity is linked to cognition that operates in the present or anticipates events or stimuli in the near future. We focus on deliberation and planning in the context of decision making as a cognitive process that integrates information across time. We progress to consider how temporal expectations of the future modulate perception. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition. SIGNIFICANCE STATEMENT: Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition. Twit Text FOAVip Time in Cortical Circuits ????J Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=26468192 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26468192 #FOAvip English Wikipedia <ref>{{Cite pmid|26468192 }}</ref> Time in Cortical Circuits #MMPMID26468192 Finnerty GT ; Shadlen MN ; Jazayeri M ; Nobre AC ; Buonomano DV J Neurosci 2015[Oct]; 35 (41 ): 13912-6 PMID26468192 show ga Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. This neural activity is linked to cognition that operates in the present or anticipates events or stimuli in the near future. We focus on deliberation and planning in the context of decision making as a cognitive process that integrates information across time. We progress to consider how temporal expectations of the future modulate perception. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition. SIGNIFICANCE STATEMENT: Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition. |Animals [MESH] |Attention/physiology [MESH] |Cerebral Cortex/*anatomy & histology/*physiology [MESH] |Cognition/*physiology [MESH] |Decision Making [MESH] |Humans [MESH] |Nerve Net/physiology [MESH] |Neuronal Plasticity/physiology [MESH] |Time Factors [MESH]Time in Cortical Circuits (epmc).pdf DeepDyve Pubget Overpricing