Scientists Unveil New Brain Map Revealing How Decisions Are Made
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.
