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Ai Neurobiology

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Research Frontiers in Attention Mechanisms from Neurotransmitter Dynamics

Implementing biologically-grounded attention and modulation systems in neural networks by modeling dopamine, acetylcholine, and other neuromodulatory effects on computation.

Dopaminergic Gating in Neural Attention Networks

Acetylcholine-Guided Synaptic Pruning and Selectivity

Noradrenergic Salience Weighting in Deep Learning Hierarchies

Glutamatergic Plasticity and Attentional Switching Dynamics

GABAergic Inhibition as Computational Focus Sharpening

Serotonin-Mediated Temporal Integration in Sequence Learning

Neuromodulatory Cross-Talk in Emergent Attention Phenomena

Neuropeptide Signaling and Sustained Attentional Resources

Neurotransmitter Imbalance in Pathological Attention Collapse

Calcium Dynamics as Attentional Weight Modulation

All AI Neurobiology PhD categories