HHMI Janelia Research Campus, Ashburn, VA 20147, USA.
Gatsby Computational Neuroscience Unit, UCL, London W1T 4JG, UK.
Science. 2019 Apr 19;364(6437):255. doi: 10.1126/science.aav7893. Epub 2019 Apr 18.
Neuronal populations in sensory cortex produce variable responses to sensory stimuli and exhibit intricate spontaneous activity even without external sensory input. Cortical variability and spontaneous activity have been variously proposed to represent random noise, recall of prior experience, or encoding of ongoing behavioral and cognitive variables. Recording more than 10,000 neurons in mouse visual cortex, we observed that spontaneous activity reliably encoded a high-dimensional latent state, which was partially related to the mouse's ongoing behavior and was represented not just in visual cortex but also across the forebrain. Sensory inputs did not interrupt this ongoing signal but added onto it a representation of external stimuli in orthogonal dimensions. Thus, visual cortical population activity, despite its apparently noisy structure, reliably encodes an orthogonal fusion of sensory and multidimensional behavioral information.
感觉皮层中的神经元群体对感觉刺激产生可变化的反应,即使没有外部感觉输入,也表现出复杂的自发活动。皮层变异性和自发性活动被认为代表随机噪声、先前经验的回忆或正在进行的行为和认知变量的编码。我们在小鼠视觉皮层中记录了超过 10000 个神经元,发现自发活动可靠地编码了一个高维潜在状态,该状态部分与小鼠正在进行的行为有关,不仅在视觉皮层中得到了体现,而且在前脑也得到了体现。感觉输入并没有中断这个正在进行的信号,而是在正交维度上增加了外部刺激的表示。因此,尽管视觉皮层群体活动的结构看起来很嘈杂,但它确实可靠地编码了感觉和多维行为信息的正交融合。