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嗅皮层模型中从时间编码到整体编码的转变。

A transformation from temporal to ensemble coding in a model of piriform cortex.

机构信息

Edmond and Lily Safra Center for Brain Sciences, Hebrew University, Jerusalem, Israel.

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.

出版信息

Elife. 2018 Mar 29;7:e34831. doi: 10.7554/eLife.34831.

Abstract

Different coding strategies are used to represent odor information at various stages of the mammalian olfactory system. A temporal latency code represents odor identity in olfactory bulb (OB), but this temporal information is discarded in piriform cortex (PCx) where odor identity is instead encoded through ensemble membership. We developed a spiking PCx network model to understand how this transformation is implemented. In the model, the impact of OB inputs activated earliest after inhalation is amplified within PCx by diffuse recurrent collateral excitation, which then recruits strong, sustained feedback inhibition that suppresses the impact of later-responding glomeruli. We model increasing odor concentrations by decreasing glomerulus onset latencies while preserving their activation sequences. This produces a multiplexed cortical odor code in which activated ensembles are robust to concentration changes while concentration information is encoded through population synchrony. Our model demonstrates how PCx circuitry can implement multiplexed ensemble-identity/temporal-concentration odor coding.

摘要

不同的编码策略被用于在哺乳动物嗅觉系统的各个阶段表示气味信息。在嗅球 (OB) 中,时滞编码代表气味身份,但在梨状皮层 (PCx) 中,这种时间信息被丢弃,而气味身份则通过集合成员来编码。我们开发了一个尖峰 PCx 网络模型来了解这种转换是如何实现的。在该模型中,吸入后最早激活的 OB 输入的影响通过弥散的复发性侧支兴奋在 PCx 中放大,然后募集强烈的、持续的反馈抑制,抑制后来响应的神经球的影响。我们通过降低神经球起始潜伏期来模拟增加的气味浓度,同时保留它们的激活序列。这产生了一个多路复用的皮质气味编码,其中激活的集合对浓度变化具有鲁棒性,而浓度信息则通过群体同步编码。我们的模型展示了 PCx 电路如何实现多路复用的集合身份/时间-浓度气味编码。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb8d/5902166/48d2bd4545f7/elife-34831-fig1.jpg

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