Evidence map›Paper›PMID 27199674›Full record

ArticleFrontiers in neural circuits2016

Theory of Connectivity: Nature and Nurture of Cell Assemblies and Cognitive Computation.

Meng Li, Jun Liu, Joe Z Tsien

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Neural Coding of Cell Assemblies via Spike-Timing Self-Information.Cerebral cortex (New York, N.Y. : 1991) · 2018
    Article
  12. Review
  13. Article
  14. Review
  15. Neural Code-Frontiers in cellular neuroscience · 2017
    Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Meng LiBrain and Behavior Discovery Institute and Department of Neurology, Medical College of Georgia at Augusta UniversityAugusta, GA, USA; The Brain Decoding Center, Banna Biomedical Research Institute, Yunnan Academy of Science and TechnologyYunnan, China.
Jun LiuBrain and Behavior Discovery Institute and Department of Neurology, Medical College of Georgia at Augusta University Augusta, GA, USA.
Joe Z TsienBrain and Behavior Discovery Institute and Department of Neurology, Medical College of Georgia at Augusta University Augusta, GA, USA.

Funding

Molecular and Temporal Dissection of Habit LearningR01NS079774 · NINDS · AUGUSTA UNIVERSITY · PI TSIEN, JOE Z · 2012 to 2016
$2.1M
NINDS NIH HHS R01NS079774
6 · The paper itself

Abstract

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.

Indexed as

CognitionModels, NeurologicalAnimalsBrainHumansNerve NetNeuronscell assemblydecision-makinggeneralizationimaginationmemory engrammotor controlnature vs. nurturetheory of connectivity

Identifiers

PMID27199674
PMCPMC4850152

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.