Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model.
Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model.
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DOI：
10.1073/pnas.2207912119
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发表时间：
2022-10-25
影响因子：
11.1
通讯作者：
中科院分区：
文献类型：
--
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工作记忆的生物物理基础在现代神经科学中是最重要的。工作记忆可以由不同的神经活动模式编码，从神经元群体的持续放电到更动态的网络活动模式。工作记忆由突触变量维持的沉默机制也被提出。这些机制有多种模型，但只考虑神经元，而忽略了神经胶质细胞。我们提出，神经胶质细胞可以支持工作记忆，引入了皮质神经元-神经胶质网络模型，其中突触-神经胶质信号可以解释放电和静默工作记忆编码。我们的理论论证可以解释工作记忆编码的杂乱性质以及神经胶质细胞可能对此做出的贡献。神经元群体中的持续活动、神经群体中的时变活动或神经群体隐藏的内部状态执行的活动-沉默机制被认为是工作记忆的不同机制。然而，无论这些机制是相互排斥的还是发生在相同的神经元回路中，仍然难以捉摸，它们的生物物理基础也是如此。虽然WM传统上被认为纯粹依赖于神经机制，但皮质网络也包括可以调节神经活动的星形胶质细胞。我们提出并研究了一个同时包括神经元和胶质细胞的网络模型，并表明胶质细胞-突触的相互作用可以导致突触传递的多个稳定状态。根据参数的不同，这些相互作用可以反过来导致不同的网络活动模式，这些模式可以作为WM的底物。
The biophysical underpinnings of working memory are of paramount interest in modern neuroscience. Working memory could be encoded by diverse patterns of neural activity, ranging from persistent firing of neuronal populations to more dynamic patterns of network activity. Silent mechanisms whereby working memory is maintained by synaptic variables have also been suggested. Multiple models exist for these mechanisms but only consider neurons, ignoring glia. We propose that glia could underpin working memory, introducing models of cortical neuron–glial networks where synapse–glia signaling could account for firing and silent working memory encoding. Our theoretical arguments can explain emerging accounts of the variegated nature of working memory encoding and the possible contribution of glia to it. Persistent activity in populations of neurons, time-varying activity across a neural population, or activity-silent mechanisms carried out by hidden internal states of the neural population have been proposed as different mechanisms of working memory (WM). Whether these mechanisms could be mutually exclusive or occur in the same neuronal circuit remains, however, elusive, and so do their biophysical underpinnings. While WM is traditionally regarded to depend purely on neuronal mechanisms, cortical networks also include astrocytes that can modulate neural activity. We propose and investigate a network model that includes both neurons and glia and show that glia–synapse interactions can lead to multiple stable states of synaptic transmission. Depending on parameters, these interactions can lead in turn to distinct patterns of network activity that can serve as substrates for WM.
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影响因子：
4.3
作者：
通讯作者：
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影响因子：
2.5
作者：
Compte, A;Constantinidis, C;Wang, WJ
通讯作者：
Wang, WJ
影响因子：
3.7
作者：
Amit, DJ;Bernacchia, A;Yakovlev, V
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影响因子：
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通讯作者：
Zorec R
影响因子：
1.2
作者：
Brunel, N;Wang, XJ
通讯作者：
Wang, XJ