Judák Linda, Dobos Gergely, Ócsai Katalin, Báthory Eszter, Szebik Huba, Tarján Balázs, Maák Pál, Szadai Zoltán, Takács István, Chiovini Balázs, Lőrincz Tibor, Szepesi Áron, Roska Botond, Szalay Gergely, Rózsa Balázs
Laboratory of 3D Functional Network and Dendritic Imaging, Institute of Experimental Medicine, Budapest, Hungary.
BrainVisionCenter Research Institute and Competence Center, Budapest, Hungary.
Nat Methods. 2025 Feb;22(2):386-398. doi: 10.1038/s41592-024-02554-6. Epub 2024 Dec 12.
Due to technical roadblocks, it is unclear how visual circuits represent multiple features or how behaviorally relevant representations are selected for long-term memory. Here we developed Moculus, a head-mounted virtual reality platform for mice that covers the entire visual field, and allows binocular depth perception and full visual immersion. This controllable environment, with three-dimensional (3D) corridors and 3D objects, in combination with 3D acousto-optical imaging, affords rapid visual learning and the uncovering of circuit substrates in one measurement session. Both the control and reinforcement-associated visual cue coding neuronal assemblies are transiently expanded by reinforcement feedback to near-saturation levels. This increases computational capability and allows competition among assemblies that encode behaviorally relevant information. The coding assemblies form partially orthogonal and overlapping clusters centered around hub cells with higher and earlier ramp-like responses, as well as locally increased functional connectivity.
由于技术障碍,目前尚不清楚视觉回路如何表征多种特征,以及如何选择与行为相关的表征用于长期记忆。在此,我们开发了Moculus,这是一种用于小鼠的头戴式虚拟现实平台,它覆盖整个视野,允许双目深度感知和全视觉沉浸。这个可控环境,配有三维(3D)走廊和3D物体,结合3D声光成像,能够在一次测量过程中实现快速视觉学习并揭示神经回路基质。通过强化反馈,与控制和强化相关的视觉线索编码神经元组件都会短暂扩展到接近饱和水平。这增加了计算能力,并允许在编码与行为相关信息的组件之间进行竞争。编码组件形成部分正交和重叠的簇,这些簇围绕着具有更高和更早的斜坡样反应以及局部功能连接增加的枢纽细胞。