Department of Physics, University of Ottawa, Ottawa, Canada.
Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada.
Elife. 2018 Nov 22;7:e36769. doi: 10.7554/eLife.36769.
Learning the spatial organization of the environment is essential for most animals' survival. This requires the animal to derive allocentric spatial information from egocentric sensory and motor experience. The neural mechanisms underlying this transformation are mostly unknown. We addressed this problem in electric fish, which can precisely navigate in complete darkness and whose brain circuitry is relatively simple. We conducted the first neural recordings in the , the thalamic region exclusively connecting the with the spatial learning circuits in the . While tectal topographic information was mostly eliminated in preglomerular neurons, the time-intervals between object encounters were precisely encoded. We show that this reliable temporal information, combined with a speed signal, can permit accurate estimation of the distance between encounters, a necessary component of path-integration that enables computing allocentric spatial relations. Our results suggest that similar mechanisms are involved in sequential spatial learning in all vertebrates.
学习环境的空间组织对于大多数动物的生存至关重要。这要求动物从自我中心的感觉和运动经验中得出以客体为中心的空间信息。这种转变的神经机制在很大程度上是未知的。我们在电鱼中解决了这个问题,电鱼可以在完全黑暗的环境中精确导航,而且它们的大脑回路相对简单。我们首次在 中进行了神经记录,该区域专门将 与 中的空间学习回路连接起来。虽然在前脑核神经元中,顶盖的地形信息大多被消除,但物体相遇的时间间隔被精确地编码。我们表明,这种可靠的时间信息,结合速度信号,可以准确估计相遇之间的距离,这是路径整合的必要组成部分,使计算以客体为中心的空间关系成为可能。我们的结果表明,类似的机制可能涉及所有脊椎动物的连续空间学习。