Abstract

Adaptive Resonance Theory, or ART, is a neural model that explains how normal and abnormal brains may learn to categorize and recognize objects and events in a changing world, and how these learned categories may be remembered for a long time. This article uses ART to propose and unify the explanation of diverse data about normal and abnormal modulation of learning and memory by acetylcholine (ACh). In ART, vigilance control determines whether learned categories will be general and abstract, or specific and concrete. ART models how vigilance may be regulated by ACh release in layer 5 neocortical cells by influencing after-hyperpolarization (AHP) currents. This phasic ACh release is mediated by cells in the nucleus basalis (NB) of Meynert that are activated by unexpected events. The article additionally discusses data about ACh-mediated tonic control of vigilance. ART proposes that there are often dynamic breakdowns of tonic control in mental disorders such as autism, where vigilance remains high, and medial temporal amnesia, where vigilance remains low. Tonic control also occurs during sleep-wake cycles. Properties of Up and Down states during slow wave sleep arise in ACh-modulated laminar cortical ART circuits that carry out processes in awake individuals of contrast normalization, attentional modulation, decision-making, activity-dependent habituation, and mismatch-mediated reset. These slow wave sleep circuits interact with circuits that control circadian rhythms and memory consolidation. Tonic control properties also clarify how Alzheimer’s disease symptoms follow from a massive structural degeneration that includes undermining vigilance control by ACh in cortical layers 3 and 5. Sleep disruptions before and during Alzheimer’s disease, and how they contribute to a vicious cycle of plaque formation in layers 3 and 5, are also clarified from this perspective.

Highlights

  • MODELING NEURAL SYSTEMS THAT INCLUDE NEUROMODULATORSWikipedia states that ‘‘Neuromodulation is the physiological process by which a given neuron uses one or more chemicals to regulate diverse populations of neurons

  • The results suggested that Zizyphus jujube (ZJ) has repairing effects on memory and behavioral disorders produced by the nucleus basalis of Meynert lesions, and suggest that ZJ may have beneficial effects treating Alzheimer’s patients

  • This article discusses the dynamics of tonic and phasic vigilance control within Adaptive Resonance Theory, or ART, laminar cortical circuits

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Summary

INTRODUCTION

Wikipedia states that ‘‘Neuromodulation is the physiological process by which a given neuron uses one or more chemicals to regulate diverse populations of neurons. A unified mechanistic explanation of large numbers of behavioral experiments is sought to rule out many otherwise seemingly plausible answers The method uses such a large behavioral database to discover novel design principles and mechanisms to explain how an individual, behaving in real time, can generate these data as emergent properties. Embody natural computational designs whereby individuals can autonomously adapt to changing environments in real time This kind of behavior-to-principle-to-model-to-brain theoretical derivation has often disclosed unexpected functional roles of the derived brain mechanisms that are not clear from neural data alone. Once a connection is made top-down from behavior to brain, mathematical and computational analysis discloses what the minimal model, and its variations, can and cannot explain An analysis of this ‘‘boundary between the known and unknown’’ focuses attention upon design principles that the current model does not embody. Some of these progressively unlumped models are described in this article, along with new results as well, especially about how properties of slow wave sleep and Alzheimer’s disease are clarified by model laminar cortical circuits that explain many data about normal awake behaviors

Adaptive Resonance Solves the Stability-Plasticity Dilemma
Attentional and Orienting Systems Regulate Category Learning and Search
How Vigilance Is Computed
Minimax Learning by Match Tracking
TWO DISTINCT PROCESSES OF MEMORY CONSOLIDATION
ACETYLCHOLINE NEUROMODULATION IN VIGILANCE CONTROL
HIGH OR LOW VIGILANCE INFLUENCE AUTISM OR AMNESIA SYMPTOMS
HIPPOCAMPAL FUNCTIONS
LAMINAR NEOCORTICAL ART CIRCUITS
From Rate-Based to Spiking ART Models
Match-Induced Gamma Oscillations and Mismatch-Induced Beta Oscillations
How ACh Modulates AHP Currents in Spiking Networks to Regulate Vigilance
10. ACh MODULATION OF LEARNED CATEGORY GENERALITY THROUGH TIME
11.1. Some Sleep Data
11.2. Laminar Cortical Model Circuits Unify Properties of Sleep and Awake Dynamics
11.3. Self-Normalizing Laminar Cortical Circuits Balance Excitation and Inhibition
11.4. Why Are Self-Normalizing Circuits Needed?
11.5. Recurrent Off-Surround Normalizes Cell Responses to Converging Sources
11.6. From Grouping and Attention to Up and Down States during Slow Wave Sleep
12.1. Alzheimer’s as a Disease of Structurally Impaired Vigilance Control
12.2. Relating Sleep and Alzheimer Disease Pathology
12.3. Can Novelty-Seeking Behaviors Lower the Chance of Developing Alzheimer’s?
Findings
13. CONCLUDING REMARKS

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