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树突域特异性取样长程轴突塑造 L5 神经元的前馈和反馈连接。

Dendritic Domain-Specific Sampling of Long-Range Axons Shapes Feedforward and Feedback Connectivity of L5 Neurons.

机构信息

The Francis Crick Institute, London NW1 1AT, United Kingdom.

University College London, London WC1E 6BT, United Kingdom.

出版信息

J Neurosci. 2022 Apr 20;42(16):3394-3405. doi: 10.1523/JNEUROSCI.1620-21.2022. Epub 2022 Mar 3.

Abstract

Feedforward and feedback pathways interact in specific dendritic domains to enable cognitive functions such as predictive processing and learning. Based on axonal projections, hierarchically lower areas are thought to form synapses primarily on dendrites in middle cortical layers, whereas higher-order areas are thought to target dendrites in layer 1 and in deep layers. However, the extent to which functional synapses form in regions of axodendritic overlap has not been extensively studied. Here, we use viral tracing in the secondary visual cortex of male mice to map brain-wide inputs to thick-tufted layer 5 pyramidal neurons. Furthermore, we provide a comprehensive map of input locations through subcellular optogenetic circuit mapping. We show that input pathways target distinct dendritic domains with far greater specificity than appears from their axonal branching, often deviating substantially from the canonical patterns. Common assumptions regarding the dendrite-level interaction of feedforward and feedback inputs may thus need revisiting. Perception and learning depend on the ability of the brain to shape neuronal representations across all processing stages. Long-range connections across different hierarchical levels enable diverse sources of contextual information, such as predictions or motivational state, to modify feedforward signals. Assumptions regarding the organization of this hierarchical connectivity have not been extensively verified. Here, we assess the synaptic connectivity of brain-wide projections onto pyramidal neurons in the visual cortex of mice. Using trans-synaptic viral tracing and subcellular optogenetic circuit mapping, we show that functional synapses do not follow the consistent connectivity rule predicted by their axonal branching patterns. These findings highlight the diversity of computational strategies operating throughout cortical networks and may aid in building better artificial networks.

摘要

前馈和反馈通路在特定的树突域相互作用,从而实现预测处理和学习等认知功能。基于轴突投射,较低层次的区域被认为主要在中间皮质层的树突上形成突触,而较高层次的区域被认为靶向第 1 层和深层的树突。然而,功能突触在前馈和反馈重叠区域形成的程度尚未得到广泛研究。在这里,我们使用雄性小鼠的次级视觉皮层中的病毒追踪,来绘制大脑对厚突层 5 锥体神经元的广泛输入。此外,我们通过亚细胞光遗传电路映射提供了输入位置的全面图谱。我们表明,输入通路以比其轴突分支更特异的方式靶向不同的树突域,通常与典型模式有很大的偏离。因此,关于前馈和反馈输入在树突水平上的相互作用的常见假设可能需要重新考虑。感知和学习依赖于大脑在所有处理阶段塑造神经元表示的能力。不同层次之间的长程连接使各种上下文信息(例如预测或动机状态)能够改变前馈信号。关于这种层次连接组织的假设尚未得到广泛验证。在这里,我们评估了投射到小鼠视觉皮层锥体神经元的全脑投射的突触连接。通过跨突触病毒追踪和亚细胞光遗传电路映射,我们表明功能突触不符合其轴突分支模式预测的一致连接规则。这些发现强调了在整个皮层网络中运作的计算策略的多样性,并可能有助于构建更好的人工网络。

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