The Mechanics Underpinning Non-Deterministic Computation in Cortical Neural Networks

The Mechanics Underpinning Non-Deterministic Computation in Cortical Neural Networks

Cortical neurons integrate upstream signals and random electrical noise to gate signaling outcomes, leading to statistically random patterns of activity. Yet classically, the neuron is modeled as a binary computational unit, encoding Shannon entropy. Here, the neuronal membrane potential is modeled...

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Detalles Bibliográficos
Autor principal: Elizabeth A. Stoll
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2024-06-01
Colección:AppliedMath
Materias:
cortical neuron
neural computation
thermodynamic computation
probabilistic coding
two-state quantum systems
quantum information
Acceso en línea:https://www.mdpi.com/2673-9909/4/3/43

Internet

https://www.mdpi.com/2673-9909/4/3/43

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