Austin Harrison
Papers
1
Total Citations
11
H-Index
1
About
Austin Harrison is a cognitive neuroscientist whose research centers on the neural mechanisms underlying perceptual decision-making and visual cognition. His most influential work employs transcranial magnetic stimulation (TMS) to causally test network models of how the human brain accumulates sensory information to guide choices. In his highly cited 2020 study, Harrison moved beyond correlational methods like fMRI and EEG by directly disrupting activity in the lateral occipital cortex (LOC), demonstrating its causal role in evidence accumulation during visual decisions. This work bridges computational models of decision-making with human brain stimulation, offering a powerful framework for understanding how perceptual judgments emerge from dynamic neural interactions. With 11 citations on this key paper alone, Harrison’s contributions are shaping the field’s understanding of the functional architecture of decision networks. His research is notable for integrating advanced neurostimulation techniques with rigorous behavioral paradigms, providing a template for future causal investigations into high-level cognition. For students and researchers, Harrison’s work exemplifies how combining theory-driven experiments with interventional methods can reveal the fundamental neural processes behind how we see and decide.
Research Focus
Key Achievements
Top Papers
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