系统分析神经节细胞、滞后LGN细胞和皮质间抑制对时空加工和方向选择的联合作用

IF 7.2 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neural Networks Pub Date : 2025-06-01 Epub Date: 2025-02-21 DOI:10.1016/j.neunet.2025.107273
René Larisch, Fred H. Hamker
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引用次数: 0

摘要

视觉皮层中的简单细胞处理视觉流的空间和时间信息,并使运动信息的感知成为可能。先前的研究提出了与方向选择性相关的不同机制,例如丘脑皮质输入流的时间偏移,通过外侧展状核(LGN)的滞后和非滞后细胞,或仅来自皮质间抑制,或通过皮质间抑制调节的丘脑皮质连接提供的基线选择性。虽然存在大量的时空感受野模型,但它们中的大多数都是通过利用空间和时间功能的组合来构建时空动态的,因此,不能解释基于视网膜和LGN中出现的网络动态的时空动态的出现。为了更好地理解时空加工和方向选择的出现,我们使用了一个脉冲神经网络来实现从视网膜到初级视觉皮层的视觉通路。通过改变我们网络中不同的功能部分,我们证明了简单细胞的方向选择性是如何通过两个组成部分之间的相互作用出现的:调节的皮质间抑制和通过滞后LGN细胞的前馈路径中的时间偏移。与之前的发现相反,我们的模型模拟表明了这两种机制之间的另一种动态:虽然皮质间抑制单独导致双向选择性,但丘脑皮质通路的时间转移打破了这种对称,有利于一个方向,导致单向选择性。
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A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity
Simple cells in the visual cortex process spatial as well as temporal information of the visual stream and enable the perception of motion information. Previous work suggests different mechanisms associated with direction selectivity, such as a temporal offset in thalamocortical input stream through lagged and non-lagged cells of the lateral geniculate nucleus (LGN), or solely from intercortical inhibition, or through a baseline selectivity provided by the thalamocortical connection tuned by intercortical inhibition.
While there exists a large corpus of models for spatiotemporal receptive fields, the majority of them built-in the spatiotemporal dynamics by utilizing a combination of spatial and temporal functions and thus, do not explain the emergence of spatiotemporal dynamics on basis of network dynamics emerging in the retina and the LGN. In order to better comprehend the emergence of spatiotemporal processing and direction selectivity, we used a spiking neural network to implement the visual pathway from the retina to the primary visual cortex. By varying different functional parts in our network, we demonstrate how the direction selectivity of simple cells emerges through the interplay between two components: tuned intercortical inhibition and a temporal offset in the feedforward path through lagged LGN cells. In contrast to previous findings, our model simulations suggest an alternative dynamic between these two mechanisms: While intercortical inhibition alone leads to bidirectional selectivity, a temporal shift in the thalamocortical pathway breaks this symmetry in favor of one direction, leading to unidirectional selectivity.
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来源期刊
Neural Networks
Neural Networks 工程技术-计算机:人工智能
CiteScore
13.90
自引率
7.70%
发文量
425
审稿时长
67 days
期刊介绍: Neural Networks is a platform that aims to foster an international community of scholars and practitioners interested in neural networks, deep learning, and other approaches to artificial intelligence and machine learning. Our journal invites submissions covering various aspects of neural networks research, from computational neuroscience and cognitive modeling to mathematical analyses and engineering applications. By providing a forum for interdisciplinary discussions between biology and technology, we aim to encourage the development of biologically-inspired artificial intelligence.
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