How inhibitory neurons increase information transmission under threshold modulation.

How inhibitory neurons increase information transmission under threshold modulation.
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抑制性神经元如何在阈值调制下增加信息传递。

DOI:
10.1016/j.celrep.2021.109158
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发表时间:
2021-05-25
期刊:
影响因子:
8.8
通讯作者:
Sharpee TO
Sharpee TO
中科院分区:
生物学1区
文献类型:
--
作者:
Hsu WM;Kastner DB;Baccus SA;Sharpee TO

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神经元阈值的调节在大脑中普遍存在。图形背景分割、运动检测、刺激预测和注意力转移等现象都涉及到神经元阈值的变化,这些变化是基于来自比其主要输入更大尺度的信号。然而,这种调制降低了神经元代表其主要输入的准确性,造成了为什么阈值调制在大脑中如此普遍的谜团。我们发现,与其他形式的神经元变异性相比,调制的危害较小,如果抑制神经元选择性地将调制应用于电路中反应稀疏的神经元,则其负面影响几乎可以完全消除。我们在视网膜中验证了这些预测,在那里我们发现抑制性无长突细胞选择性地向稀疏反应的神经节细胞类型传递调制信号。我们的发现阐明了抑制神经元在调制下最大限度地传递信息方面所起的中心作用。神经元阈值的调制在大脑中普遍存在,但会降低神经信号的准确性。Hu等人的研究。结果表明,当调制不是均匀地传递到所有神经元,而是仅传递到一个子集并通过抑制神经元时,阈值调制的负面影响几乎可以完全消除。
Modulation of neuronal thresholds is ubiquitous in the brain. Phenomena such as figure-ground segmentation, motion detection, stimulus anticipation, and shifts in attention all involve changes in a neuron’s threshold based on signals from larger scales than its primary inputs. However, this modulation reduces the accuracy with which neurons can represent their primary inputs, creating a mystery as to why threshold modulation is so widespread in the brain. We find that modulation is less detrimental than other forms of neuronal variability and that its negative effects can be nearly completely eliminated if modulation is applied selectively to sparsely responding neurons in a circuit by inhibitory neurons. We verify these predictions in the retina where we find that inhibitory amacrine cells selectively deliver modulation signals to sparsely responding ganglion cell types. Our findings elucidate the central role that inhibitory neurons play in maximizing information transmission under modulation. Modulation of neuronal thresholds is ubiquitous in the brain but reduces the accuracy of neural signaling. Hsu et al. show that the negative impact of threshold modulation can be almost completely eliminated when modulation is not delivered uniformly to all neurons but only to a subset and via inhibitory neurons.
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