Quantifying decision-making in dynamic, continuously evolving environments

被引:6
作者
Ruesseler, Maria [1 ]
Weber, Lilian Aline [1 ,2 ]
Marshall, Tom Rhys [2 ,3 ]
O'Reilly, Jill [2 ]
Hunt, Laurence Tudor [1 ,2 ]
机构
[1] Univ Oxford, Oxford Ctr Human Brain Act OHBA Univ, Wellcome Ctr Integrat Neuroimaging, Dept Psychiat,Warneford Hosp, Oxford, England
[2] Univ Oxford, Dept Expt Psychol, Radcliffe Observ Quarter, Anna Watts Bldg, Oxford, England
[3] Univ Birmingham, Ctr Human Brain Hlth, Birmingham, England
基金
英国医学研究理事会; 英国惠康基金;
关键词
decision-making; temporal response function; EEG; random dot kinetogram; Human; EVIDENCE ACCUMULATION; PERCEPTUAL DECISION; SENSORY EVIDENCE; NEURAL BASIS; MODELS; FLUCTUATIONS; SURPRISE; REFLECT; HUMANS; MOTION;
D O I
10.7554/eLife.82823
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
During perceptual decision-making tasks, centroparietal electroencephalographic (EEG) potentials report an evidence accumulation-to-bound process that is time locked to trial onset. However, decisions in real-world environments are rarely confined to discrete trials; they instead unfold continuously, with accumulation of time-varying evidence being recency-weighted towards its immediate past. The neural mechanisms supporting recency-weighted continuous decision-making remain unclear. Here, we use a novel continuous task design to study how the centroparietal positivity (CPP) adapts to different environments that place different constraints on evidence accumulation. We show that adaptations in evidence weighting to these different environments are reflected in changes in the CPP. The CPP becomes more sensitive to fluctuations in sensory evidence when large shifts in evidence are less frequent, and the potential is primarily sensitive to fluctuations in decision-relevant (not decision-irrelevant) sensory input. A complementary triphasic component over occipito-parietal cortex encodes the sum of recently accumulated sensory evidence, and its magnitude covaries with parameters describing how different individuals integrate sensory evidence over time. A computational model based on leaky evidence accumulation suggests that these findings can be accounted for by a shift in decision threshold between different environments, which is also reflected in the magnitude of pre-decision EEG activity. Our findings reveal how adaptations in EEG responses reflect flexibility in evidence accumulation to the statistics of dynamic sensory environments.
引用
收藏
页数:28
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