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10.3389/fncir.2016.00034

http://scihub22266oqcxt.onion/10.3389/fncir.2016.00034
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C4850152!4850152!27199674
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suck abstract from ncbi


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pmid27199674      Front+Neural+Circuits 2016 ; 10 (ä): ä
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  • Theory of Connectivity: Nature and Nurture of Cell Assemblies and Cognitive Computation #MMPMID27199674
  • Li M; Liu J; Tsien JZ
  • Front Neural Circuits 2016[]; 10 (ä): ä PMID27199674show ga
  • Richard Semon and Donald Hebb are among the firsts to put forth the notion of cell assembly?a group of coherently or sequentially-activated neurons?to represent percept, memory, or concept. Despite the rekindled interest in this century-old idea, the concept of cell assembly still remains ill-defined and its operational principle is poorly understood. What is the size of a cell assembly? How should a cell assembly be organized? What is the computational logic underlying Hebbian cell assemblies? How might Nature vs. Nurture interact at the level of a cell assembly? In contrast to the widely assumed randomness within the mature but naïve cell assembly, the Theory of Connectivity postulates that the brain consists of the developmentally pre-programmed cell assemblies known as the functional connectivity motif (FCM). Principal cells within such FCM is organized by the power-of-two-based mathematical principle that guides the construction of specific-to-general combinatorial connectivity patterns in neuronal circuits, giving rise to a full range of specific features, various relational patterns, and generalized knowledge. This pre-configured canonical computation is predicted to be evolutionarily conserved across many circuits, ranging from these encoding memory engrams and imagination to decision-making and motor control. Although the power-of-two-based wiring and computational logic places a mathematical boundary on an individual?s cognitive capacity, the fullest intellectual potential can be brought about by optimized nature and nurture. This theory may also open up a new avenue to examining how genetic mutations and various drugs might impair or improve the computational logic of brain circuits.
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