A Miniature Brain Transformer: Thalamic Gating, Hippocampal Lateralization, Amygdaloid Salience, and Prefrontal Working Memory in Attention-Coupled Latent Memory
Hong Jeong

TL;DR
This paper introduces a miniature brain transformer architecture with multiple brain-region analogues, demonstrating how prefrontal working memory and inhibition synergistically induce lateralization, advancing neurobiologically inspired sequence modeling.
Contribution
It presents a novel brain-inspired transformer model incorporating thalamic, amygdaloid, prefrontal, and cerebellar modules, revealing the critical role of working memory in lateralization.
Findings
Inhibitory callosal coupling alone does not lateralize hippocampal banks.
Adding prefrontal working memory causes a sharp phase transition in lateralization.
Cerebellar fast-path accelerates the transition without affecting asymptotic behavior.
Abstract
We present a miniature brain transformer architecture that extends the attention-coupled latent memory framework with four additional brain-region analogues: a thalamic relay, an amygdaloid salience module, a prefrontal working-memory (PFC) buffer, and a cerebellar fast-path, all coupled by inhibitory callosal cross-talk between lateralized hippocampal banks. We evaluate on a two-domain benchmark -- MQAR (Multi-Query Associative Recall; episodic domain) and modular arithmetic (+1 mod 10; rule-based domain) -- using a seven-variant additive ablation. The central empirical finding is a surprise: inhibitory callosal coupling alone never lateralizes the banks (variants 1-5 maintain D_sep ~ 0.25 and P_ct ~ 0.25 for all 30 epochs). Functional lateralization requires the synergy of PFC and inhibition: only when the PFC buffer is added (variant 6) does a sharp, discontinuous phase transition…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural dynamics and brain function · Memory and Neural Mechanisms
