Oesch Lukas T, Thomas Makenna C, Sandberg Davis, Couto João, Churchland Anne K
Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles.
Res Sq. 2025 Jul 15:rs.3.rs-6858161. doi: 10.21203/rs.3.rs-6858161/v1.
In dynamic environments, animals must closely monitor the effects of their actions to inform switches in behavioral strategy. Anterior cingulate cortex (ACC) neurons track decision outcomes in these environments. Yet, it remains unclear whether ACC neurons similarly monitor behavioral history in static environments and, if so, whether these signals are distinct from movement representations. We recorded large-scale ACC activity in freely moving mice making visual evidence-accumulation decisions. Many ACC neurons exhibited nonlinear mixed selectivity for previous choices and outcomes (trial history) and were modulated by movements. Trial history could be stably decoded from population activity and accounted for a separable component of neural activity than posture and movements. Trial history encoding was conserved across different subjects and was unaffected by fluctuating behavioral biases. These findings demonstrate that trial history monitoring in ACC is implemented in a conserved population code that is independent of the volatility of subjects' task environment.
在动态环境中,动物必须密切监测其行动的效果,以便为行为策略的转换提供依据。前扣带皮层(ACC)神经元在这些环境中追踪决策结果。然而,目前尚不清楚ACC神经元是否同样在静态环境中监测行为历史,如果是,这些信号是否与运动表征不同。我们记录了自由活动的小鼠在做出视觉证据积累决策时大规模的ACC活动。许多ACC神经元对先前的选择和结果(试验历史)表现出非线性混合选择性,并受到运动的调节。试验历史可以从群体活动中稳定地解码出来,并且与姿势和运动相比,它构成了神经活动的一个可分离成分。试验历史编码在不同的受试者中是保守的,并且不受波动的行为偏差的影响。这些发现表明,ACC中的试验历史监测是通过一种保守的群体编码来实现的,该编码独立于受试者任务环境的波动性。