Lian Yanbo, LaChance Patrick A, Malmberg Samantha, Hasselmo Michael E, Burkitt Anthony N
Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia.
Center for Systems Neuroscience, Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA.
bioRxiv. 2024 Oct 12:2024.10.10.617687. doi: 10.1101/2024.10.10.617687.
Recent experimental studies have discovered diverse spatial properties, such as head direction tuning and egocentric tuning, of neurons in the postrhinal cortex (POR) and revealed how the POR spatial representation is distinct from the retrosplenial cortex (RSC). However, how these spatial properties of POR neurons emerge is unknown, and the cause of distinct cortical spatial representations is also unclear. Here, we build a learning model of POR based on the pathway from the superior colliculus (SC) that has been shown to have motion processing within the visual input. Our designed SC-POR model demonstrates that diverse spatial properties of POR neurons can emerge from a learning process based on visual input that incorporates motion processing. Moreover, combining SC-POR model with our previously proposed V1-RSC model, we show that distinct cortical spatial representations in POR and RSC can be learnt along disparate visual pathways (originating in SC and V1), suggesting that the varying features encoded in different visual pathways contribute to the distinct spatial properties in downstream cortical areas.
最近的实验研究发现了鼻后皮质（POR）中神经元的多种空间特性，如头部方向调谐和自我中心调谐，并揭示了POR的空间表征与 retrosplenial 皮质（RSC）的不同之处。然而，POR 神经元的这些空间特性是如何出现的尚不清楚，而且不同皮质空间表征的原因也不明确。在这里，我们基于上丘（SC）的通路构建了一个 POR 的学习模型，该通路已被证明在视觉输入中具有运动处理功能。我们设计的 SC-POR 模型表明，POR 神经元的多种空间特性可以从基于包含运动处理的视觉输入的学习过程中出现。此外，将 SC-POR 模型与我们之前提出的 V1-RSC 模型相结合，我们表明 POR 和 RSC 中不同的皮质空间表征可以沿着不同的视觉通路（起源于 SC 和 V1）学习，这表明不同视觉通路中编码的不同特征有助于下游皮质区域中不同的空间特性。
