Schiereck Shannon S, Pérez-Rivera Danilo Trinidad, Mah Andrew, DeMaegd Margaret L, Ward Royall McMahon, Hocker David, Savin Cristina, Constantinople Christine M
Center for Neural Science, New York University; New York, NY 10003.
Center for Data Science, New York University; New York, NY 10003.
bioRxiv. 2024 Oct 29:2024.10.29.620879. doi: 10.1101/2024.10.29.620879.
Behavior is sloppy: a multitude of cognitive strategies can produce similar behavioral read-outs. An underutilized approach is to combine multifaceted behavioral analyses with neural recordings to resolve cognitive strategies. Here we show that rats performing a decision-making task exhibit distinct strategies over training, and these cognitive strategies are decipherable from orbitofrontal cortex (OFC) neural dynamics. We trained rats to perform a temporal wagering task with hidden reward states. While naive rats passively adapted to reward statistics, expert rats inferred reward states. Electrophysiological recordings and novel methods for characterizing population dynamics identified latent neural factors that reflected inferred states in expert but not naive rats. In experts, these factors showed abrupt changes following single trials that were informative of state transitions. These dynamics were driven by neurons whose firing rates reflected single trial inferences, and OFC inactivations showed they were causal to behavior. These results reveal the neural signatures of inference.
多种认知策略可以产生相似的行为表现。一种未被充分利用的方法是将多方面的行为分析与神经记录相结合,以解析认知策略。在这里,我们表明执行决策任务的大鼠在训练过程中表现出不同的策略,并且这些认知策略可以从眶额皮质(OFC)神经动力学中解读出来。我们训练大鼠执行具有隐藏奖励状态的时间押注任务。天真的大鼠被动地适应奖励统计信息,而经验丰富的大鼠则推断奖励状态。电生理记录和用于表征群体动力学的新方法确定了潜在的神经因素,这些因素在经验丰富的大鼠而非天真的大鼠中反映了推断出的状态。在经验丰富的大鼠中,这些因素在单次试验后显示出突然变化,这些变化说明了状态转换。这些动力学是由其放电率反映单次试验推断的神经元驱动的,并且OFC失活表明它们对行为具有因果关系。这些结果揭示了推理的神经特征。