Neural mechanisms for spatial cognition across vertebrates

Ehud Vinepinsky, Ronen Segev
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Abstract

The ability to navigate the world is a critical cognitive skill that most animals use to find food, shelter, and mates. Understanding the neural basis of navigation requires probing how the brain encodes spatial information through the study of the activity of single neurons and neuronal populations. Classically in vertebrates, studies have centered on the rodent hippocampal formation, which led to the discovery of place, grid, head direction and other cell types. However, since navigation skills are essential to almost all vertebrates, spatial cognition in different species also needs to be explored. In recent years, as a result of advances in technology, new data have emerged on the ways in which space is represented during navigation in the brains of vertebrates other than rodents, including teleost fish, birds, and other mammal species. Here, we review the state of the art on the neural representation of an animal’s position and motion across vertebrates at the level of single neurons. We argue that it is time to pool information across vertebrates to identify the underlying algorithms that lead to successful navigation. Although rodent-based data are important, findings in rodents are unlikely to cover the full spectrum of neural computations supporting navigation strategies in the vertebrate kingdom. Studying other species can shed light on length scales such as in large environments, and different scenarios such as naturalistic environments that are hard to carry out in rodents. In addition, a rodent-centric view may neglect the fact that different species are likely to represent positions in the world in ways that do not exist in mammals. Finally, we provide an outlook for the future which includes prediction about findings in unexplored species, and the opportunities for discoveries and understanding in this field.
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脊椎动物空间认知的神经机制
导航世界的能力是一项关键的认知技能,大多数动物用它来寻找食物、住所和配偶。理解导航的神经基础需要通过研究单个神经元和神经元群的活动来探索大脑如何编码空间信息。在脊椎动物中,经典的研究集中在啮齿动物的海马形成上,这导致了位置、网格、头部方向和其他细胞类型的发现。然而,由于导航技能对几乎所有脊椎动物都是必不可少的,因此还需要探索不同物种的空间认知。近年来,由于技术的进步,出现了新的数据,揭示了除啮齿动物以外的脊椎动物(包括硬骨鱼、鸟类和其他哺乳动物)在导航过程中空间的表现方式。在这里,我们回顾了在单个神经元水平上脊椎动物的位置和运动的神经表征的最新进展。我们认为,现在是时候汇集脊椎动物之间的信息,以确定导致成功导航的底层算法。尽管基于啮齿动物的数据很重要,但啮齿动物的发现不太可能涵盖脊椎动物王国支持导航策略的神经计算的全部范围。研究其他物种可以阐明在大型环境中的长度尺度,以及在自然环境中难以在啮齿动物中进行的不同场景。此外,以啮齿动物为中心的观点可能忽略了这样一个事实,即不同物种可能以哺乳动物不存在的方式代表世界上的位置。最后,我们对未来进行了展望,包括对未探索物种的发现的预测,以及该领域发现和理解的机会。
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