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10.3389/fnsys.2016.00095 http://scihub22266oqcxt.onion/10.3389/fnsys.2016.00095 C5108790!5108790!27895562     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Syst+Neurosci 2016 ; 10 (ä): ä Nephropedia Template TP {{tp|p=27895562|t=2016. Brain Computation Is Organized via Power-of-Two-Based Permutation Logic |pdf=|usr=}}{{27895562}} gab.com Text Brain Computation Is Organized via Power-of-Two-Based Permutation Logic JO: Front Syst Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=27895562 #FOAvip There is considerable scientific interest in understanding how cell assemblies?the long-presumed computational motif?are organized so that the brain can generate intelligent cognition and flexible behavior. The Theory of Connectivity proposes that the origin of intelligence is rooted in a power-of-two-based permutation logic (N = 2i?1), producing specific-to-general cell-assembly architecture capable of generating specific perceptions and memories, as well as generalized knowledge and flexible actions. We show that this power-of-two-based permutation logic is widely used in cortical and subcortical circuits across animal species and is conserved for the processing of a variety of cognitive modalities including appetitive, emotional and social information. However, modulatory neurons, such as dopaminergic (DA) neurons, use a simpler logic despite their distinct subtypes. Interestingly, this specific-to-general permutation logic remained largely intact although NMDA receptors?the synaptic switch for learning and memory?were deleted throughout adulthood, suggesting that the logic is developmentally pre-configured. Moreover, this computational logic is implemented in the cortex via combining a random-connectivity strategy in superficial layers 2/3 with nonrandom organizations in deep layers 5/6. This randomness of layers 2/3 cliques?which preferentially encode specific and low-combinatorial features and project inter-cortically?is ideal for maximizing cross-modality novel pattern-extraction, pattern-discrimination and pattern-categorization using sparse code, consequently explaining why it requires hippocampal offline-consolidation. In contrast, the nonrandomness in layers 5/6?which consists of few specific cliques but a higher portion of more general cliques projecting mostly to subcortical systems?is ideal for feedback-control of motivation, emotion, consciousness and behaviors. These observations suggest that the brain?s basic computational algorithm is indeed organized by the power-of-two-based permutation logic. This simple mathematical logic can account for brain computation across the entire evolutionary spectrum, ranging from the simplest neural networks to the most complex. Twit Text FOAVip Brain Computation Is Organized via Power-of-Two-Based Permutation Logic ????Front Syst Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=27895562 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27895562 #FOAvip English Wikipedia <ref>{{Cite pmid|27895562}}</ref> Brain Computation Is Organized via Power-of-Two-Based Permutation Logic #MMPMID27895562 Xie K; Fox GE; Liu J; Lyu C; Lee JC; Kuang H; Jacobs S; Li M; Liu T; Song S; Tsien JZ Front Syst Neurosci 2016[]; 10 (ä): ä PMID27895562show ga There is considerable scientific interest in understanding how cell assemblies?the long-presumed computational motif?are organized so that the brain can generate intelligent cognition and flexible behavior. The Theory of Connectivity proposes that the origin of intelligence is rooted in a power-of-two-based permutation logic (N = 2i?1), producing specific-to-general cell-assembly architecture capable of generating specific perceptions and memories, as well as generalized knowledge and flexible actions. We show that this power-of-two-based permutation logic is widely used in cortical and subcortical circuits across animal species and is conserved for the processing of a variety of cognitive modalities including appetitive, emotional and social information. However, modulatory neurons, such as dopaminergic (DA) neurons, use a simpler logic despite their distinct subtypes. Interestingly, this specific-to-general permutation logic remained largely intact although NMDA receptors?the synaptic switch for learning and memory?were deleted throughout adulthood, suggesting that the logic is developmentally pre-configured. Moreover, this computational logic is implemented in the cortex via combining a random-connectivity strategy in superficial layers 2/3 with nonrandom organizations in deep layers 5/6. This randomness of layers 2/3 cliques?which preferentially encode specific and low-combinatorial features and project inter-cortically?is ideal for maximizing cross-modality novel pattern-extraction, pattern-discrimination and pattern-categorization using sparse code, consequently explaining why it requires hippocampal offline-consolidation. In contrast, the nonrandomness in layers 5/6?which consists of few specific cliques but a higher portion of more general cliques projecting mostly to subcortical systems?is ideal for feedback-control of motivation, emotion, consciousness and behaviors. These observations suggest that the brain?s basic computational algorithm is indeed organized by the power-of-two-based permutation logic. This simple mathematical logic can account for brain computation across the entire evolutionary spectrum, ranging from the simplest neural networks to the most complex. äBrain Computation Is Organized via Power-of-Two-Based Permutation Logi(epmc).pdf DeepDyve Pubget Overpricing