Scientists Unveil New Brain Map Revealing How Decisions Are Made
TL;DR Summary
The study uses an innovative deep learning method to analyze neural population activity during perceptual decisions in rats, revealing a transition from input-driven evidence accumulation to autonomous decision commitment, characterized by a shift in neural modes and dynamics that are not fully explained by existing attractor hypotheses, and proposing a simplified model (MMDDM) that captures these complex neural processes and their behavioral correlates.
Topics:health#attractor-models#neural-dynamics#neural-mode-transition#neuroscience#perceptual-decision-making#unsupervised-learning
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