ArticleJournal of biological physics2018
Quantum-like behavior without quantum physics II. A quantum-like model of neural network dynamics.
Article in Journal of biological physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Brain and Immune System Part II-An Integrative View upon Spatial Orientation, Learning, and Memory Function.International journal of molecular sciences · 2025Review
- Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory.Journal of computational neuroscience · 2024Article
- Neural waves and computation in a neural net model I: Convolutional hierarchies.Journal of computational neuroscience · 2024Article
- Neural waves and short-term memory in a neural net model.Journal of biological physics · 2023Article
- Quantum-like behavior without quantum physics III : Logic and memory.Journal of biological physics · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In earlier work, we laid out the foundation for explaining the quantum-like behavior of neural systems in the basic kinematic case of clusters of neuron-like units. Here we extend this approach to networks and begin developing a dynamical theory for them. Our approach provides a novel mathematical foundation for neural dynamics and computation which abstracts away from lower-level biophysical details in favor of information-processing features of neural activity. The theory makes predictions concerning such pathologies as schizophrenia, dementias, and epilepsy, for which some evidence has accrued. It also suggests a model of memory retrieval mechanisms. As further proof of principle, we analyze certain energy-like eigenstates of the 13 three-neuron motif classes according to our theory and argue that their quantum-like superpositional nature has a bearing on their observed structural integrity.
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Registered trials
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