Excitatory-inhibitory recurrent dynamics produce robust visual grids and stable attractors.
Excitatory-inhibitory recurrent dynamics produce robust visual grids and stable attractors.
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DOI：
10.1016/j.celrep.2022.111777
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发表时间：
2022-12-13
期刊：
影响因子：
8.8
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中科院分区：
文献类型：
--
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空间调制的网格细胞最近被发现在大鼠次级视觉皮层（V2）在主动导航。然而，V2网格单元的计算机制和功能意义仍然未知。为了解决知识差距，我们训练了一个生物启发的兴奋-抑制递归神经网络来执行具有多感官输入的二维空间导航任务。我们在兴奋性和抑制性RNN单元中都发现了类似网格的反应，这些反应对于空间线索、视觉输入的维度和激活函数都是鲁棒的。人口的反应揭示了一个低维，环面状流形和吸引子。我们发现功能网格集群与类似的感受野和结构化的兴奋性兴奋性连接之间的联系。此外，多稳态环面吸引子的出现，增加了稀疏性之间和内部的子网连接。最后，在视觉序列识别任务中，在递归神经网络（RNN）单元中发现了不规则的网格模式。总之，我们的研究结果表明V2网格单元的空间和非空间任务的共同计算机制。Zhang等人训练生物学上真实的神经网络模型，以执行具有多感官输入的空间导航任务，并发现紧急的网格状响应和具有强加网络连接性和稀疏性约束的低维多稳态环面吸引子。
Spatially modulated grid cells have been recently found in the rat secondary visual cortex (V2) during active navigation. However, the computational mechanism and functional significance of V2 grid cells remain unknown. To address the knowledge gap, we train a biologically inspired excitatory-inhibitory recurrent neural network to perform a two-dimensional spatial navigation task with multisensory input. We find grid-like responses in both excitatory and inhibitory RNN units, which are robust with respect to spatial cues, dimensionality of visual input, and activation function. Population responses reveal a low-dimensional, torus-like manifold and attractor. We find a link between functional grid clusters with similar receptive fields and structured excitatory-to-excitatory connections. Additionally, multistable torus-like attractors emerged with increasing sparsity in inter- and intra-subnetwork connectivity. Finally, irregular grid patterns are found in recurrent neural network (RNN) units during a visual sequence recognition task. Together, our results suggest common computational mechanisms of V2 grid cells for spatial and non-spatial tasks. Zhang et al. train biologically realistic neural network models to perform a spatial navigation task with multisensory input and discover emergent grid-like responses and a low-dimensional, multistable torus-like attractor with imposed network connectivity and sparsity constraints.
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