Exploring Plasticity Mechanisms in Learning and Memory: An Insight into Alzheimer’s Disease
Bibliographic record
Abstract
Neuroplasticity is the brain’s ability to change and adapt to promote learning and memory. The capacity for change is reflected in how synaptic plasticity mechanisms - Hebbian and homeostatic - contribute to Alzheimer's Disease (AD). While Hebbian plasticity strengthens the connections between neurons that fire together, homeostatic plasticity balances neural activity and maintains network stability. Although these two forms of plasticity function differently, we hypothesize that both promote neural adaptations in response to environmental factors. In the case of neural activity disruption, cognitive decline and memory deficits occur as observed in Alzheimer’s Disease (AD). In this review, we first synthesize theoretical and empirical work on how homeostatic plasticity and Hebbian learning contribute to learning and memory. Considering the roles of synaptic long-term potentiation (LTP) and long-term depression (LTD), we also describe alterations in glutamatergic and cholinergic neurotransmission that lead to impaired memory and learning. Understanding these processes offers potential therapeutic targets for improving synaptic function and mitigating cognitive decline in Alzheimer’s patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".