ArticleFrontiers in neural circuits2016
Theory of Connectivity: Nature and Nurture of Cell Assemblies and Cognitive Computation.
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.
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Who cites it
17 citing papers in PubMed.
- Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory.Journal of computational neuroscience · 2024Article
- Translational neuronal ensembles: Neuronal microcircuits in psychology, physiology, pharmacology and pathology.Frontiers in systems neuroscience · 2022Review
- Memory-specific correlated neuronal activity in higher-order auditory regions of a parrot.Scientific reports · 2021Article
- A functional assembly framework based on implementable neurobionic material.Clinical and translational medicine · 2021Article
- The Hebb Synapse Before Hebb: Theories of Synaptic Function in Learning and Memory Before , With a Discussion of the Long-Lost Synaptic Theory of William McDougall.Frontiers in behavioral neuroscience · 2021Review
- Donald O. Hebb and the Organization of Behavior: 17 years in the writing.Molecular brain · 2020Review
- A Vector Space Model for Neural Network Functions: Inspirations From Similarities Between the Theory of Connectivity and the Logarithmic Time Course of Word Production.Frontiers in systems neuroscience · 2020Article
- Overcoming randomness does not rule out the importance of inherent randomness for functionality.Journal of biosciences · 2019Review
- Quantum-like behavior without quantum physics III : Logic and memory.Journal of biological physics · 2019Article
- FGF receptors are required for proper axonal branch targeting in Drosophila.Molecular brain · 2019Article
- Neural Coding of Cell Assemblies via Spike-Timing Self-Information.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Total Number Is Important: Using the Disector Method in Design-Based Stereology to Understand the Structure of the Rodent Brain.Frontiers in neuroanatomy · 2018Review
- The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition.Frontiers in systems neuroscience · 2018Article
- Multiple Approaches to the Investigation of Cell Assembly in Memory Research-Present and Future.Frontiers in systems neuroscience · 2018Review
- Neural Code-Frontiers in cellular neuroscience · 2017Article
- Brain Computation Is Organized via Power-of-Two-Based Permutation Logic.Frontiers in systems neuroscience · 2016Article
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3 authors.
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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.
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