神经元空间相位代码的生成

IF 7.9 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Eran Stark, Hadas E. Sloin
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引用次数: 0

摘要

神经元被认为是通过尖峰来代表信息的,但尖峰活动的哪一方面代表信息还存在争议。哺乳动物海马的位置编码为研究神经元编码形式提供了一个有用的系统。海马 CA1 区的单个锥体细胞在探索的啮齿动物处于环境的某一特定部分(即该细胞的 "场所场")时会发生尖峰脉冲1 。在许多场所场中,尖峰都遵循特定的时间模式:当动物进入场所场时,尖峰发生在θ波的峰值,随后的尖峰发生在逐渐提前的阶段。这种 "相位前移 "是 "相位编码 "的一个例子,在这种编码中,单个尖峰相对于正在进行的θ 波的相位可能携带超出发射率的信息。先验地讲,至少有三种选择(图 1):速率编码可能以某种方式转换成相位编码4;相位编码可能转换成速率编码5;或者第三种 "祖先 "编码可能同时产生这两种编码6。过去三十年的研究为所有这三种可能性及其各种组合提供了证据,并提出了许多产生相位前移的模型7。我们的推论是,将一种编码强加给系统可能会决定编码是否相互依存,并可能制约生成机制。由于之前的多项研究表明,在 CA1 中观察到的相位前移是从其他区域继承来的,7 因此我们选择在 CA1 中的单个锥体细胞上强加速率编码。首先,我们开发了硬件来操纵自由移动的受试者大脑深处单个神经元的活动。8 我们发明了名为 "二极管探针 "的多点/多色光电设备,其中多个微型光源在记录电极附近发射光线。其次,我们将 CA1 锥体细胞尖峰的激活与小鼠的实际运动学结合起来。我们开发了一个名为 "Spotter "的系统,可以实时跟踪实验对象的运动9,并利用该系统实现了一个由头部方向调制的二维位置场数学模型。我们训练小鼠在一条直线跑道上来回奔跑。在每次实验过程中,我们沿跑道随机选择一个位置,施加速率代码。每隔一圈,我们就打开光遗传反馈系统8-10,关闭小鼠运动学回路(图 2A)。其结果是在 CA1 锥体神经元中诱导出速率编码,产生人工位置场(图 2B,中)。人工场所场出现在所有接受测试的小鼠中(286/1095 个锥体细胞,26%),满足了根据任意模型和实际动物运动学创建场所场的技术挑战。10 具体来说,出现人工场所场的锥体细胞的尖峰并不是发生在正在进行的θ振荡的随机阶段(图 2B)。相反,人工场所场的尖峰表现出合成的相位前移:在人工场所场开始时诱发的尖峰出现在θ 振荡的峰值附近;在场所场中间诱发的尖峰出现在θ 振荡的谷值附近;在场所场末期诱发的尖峰再次出现在θ 振荡峰值附近。因此,通过诱导场所场样激活产生的尖峰表现出相位前移,表明强加在CA1锥体细胞上的速率编码自发地转换成了相位编码。在这些情况下,外加的驱动力干扰并减慢了前冲,这表明前冲并不是从上游区域继承的。10 因此,实验结果表明,相位前冲可以在 CA1 的局部产生,而不是从其他来源或区域继承。在后顶叶皮层重复该实验会诱发人工场,但没有合成前驱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The generation of a neuronal phase code for space

The generation of a neuronal phase code for space

Neurons are thought to represent information by spikes, but which specific aspect of spiking activity represents information is debated. Place coding in the mammalian hippocampus provides a useful system for studying forms of neuronal coding. Individual pyramidal cells in the hippocampal CA1 region spike when an exploring rodent is at a particular part of the environment, the “place field” of the cell.1 Place cell firing is a “rate code”, where the rate profile is independent of the millisecond timing of individual spikes.

During locomotion, local field potentials in the rodent hippocampus exhibit rhythmic theta (4–11 Hz) oscillations. In many place fields, the spikes follow a specific temporal pattern: when the animal enters the field, spikes occur at the peak of the theta wave, and subsequent spikes occur at progressively earlier phases.2 Knowing the phase in which a spike occurs can indicate where the animal is within the place field. This “phase precession” is an example of a “phase code”, in which the phase of the individual spike with respect to the ongoing theta may carry information beyond the firing rate.3

The observation that both rate and phase codes may carry information about the same parameter in the same neuron provides an opportunity for understanding how these codes are generated. A priori, there are at least three options (Figure 1): a rate code might be somehow converted into a phase code4; a phase code may be converted into a rate code5; or a third, “progenitor” code could generate both.6 Work in the past three decades provided evidence for all three possibilities and for various combinations thereof, and numerous models were proposed for generating phase precession.7

We combined electrophysiological recordings with optogenetic manipulations in freely-moving mice to approach the problem of the generation of rate and phase codes in CA1 pyramidal cells. We reasoned that imposing one code on the system may determine whether the codes are interdependent, and possibly constrain the generative mechanisms. Because multiple prior studies suggested that the phase precession observed in CA1 is inherited from other regions,7 we chose to impose a rate code on individual pyramidal cells in CA1.

The induction of an artificial rate code presents several technical challenges. First, we developed hardware to manipulate the activity of individual neurons deep in the brain of freely-moving subjects.8 We invented multi-site/multi-colour optoelectronic devices called “diode-probes” in which light from multiple miniature sources is emitted near the recording electrodes. Second, we coupled the activation of CA1 pyramidal cell spiking with the actual kinematics of the mouse. We developed a system called “Spotter” that tracks subject movement in real time,9 and used the system to implement a mathematical model of a 2D place field modulated by head orientation.

We trained mice to run back and forth on a linear track. In every experimental session, we selected a random location along the track for imposing a rate code. On every other lap in a given direction (e.g., left-to-right run), we closed the loop on mouse kinematics by turning on the optogenetic feedback system8-10 (Figure 2A). The result was the induction of a rate code in CA1 pyramidal neurons, yielding artificial place fields (Figure 2B, middle). Artificial fields appeared in all tested mice (286/1095 pyramidal cells, 26%), meeting the technical challenge of creating place fields based on an arbitrary model and actual animal kinematics.

The key finding was that in many cases (105/286 artificial fields, 37%), the imposed rate code also generated a phase code.10 Specifically, spikes of pyramidal cells that exhibited an artificial place field did not occur at random phases of the ongoing theta oscillations (Figure 2B). Instead, artificial place field spikes exhibited synthetic phase precession: spikes induced at the beginning of the artificial field occurred around the peak of theta; spikes induced at the middle of the field occurred towards the theta trough; and spikes near the end of the field again occurred close to the theta peak.10 Thus, spikes generated by inducing place field-like activation exhibited phase precession, indicating that a rate code imposed on CA1 pyramidal cells is spontaneously converted into a phase code.

In some cases, the closed-loop optogenetic place fields overlapped preexisting place fields that exhibited spontaneous phase precession. In those cases, the imposed drive interfered with and slowed down the precession, indicating that precession is not inherited from an upstream region.10 Thus, the results show that phase precession can be generated locally in CA1, as opposed to being inherited from other sources or regions. Repeating the experiment in the posterior parietal cortex induced artificial fields but no synthetic precession.10 However, it is unclear whether the phase precession observed in other parts of the hippocampal formation is also generated locally within each structure.

By comparing the predictions of multiple generative models with the experimental observations, we narrowed down possibilities to a single class of models. In dual oscillator models,2, 7 a slower oscillator (the theta rhythm) co-occurs with a faster oscillator triggered within the place field. We designed simple dual oscillator models in which the pyramidal neuron itself is the faster oscillator.10 In our models, the faster intracellular rhythm is generated by an interaction between a persistent sodium current and another current: either a slowly-activated potassium current or a slowly-inactivated sodium current. While only the dual oscillator models recapitulated the experimental observations, other generative mechanisms may be identified in the future.

Can a phase code generate a rate code? It remains to be explored whether imposing a phase code on the system spontaneously generates a rate code. The discussed work10 and the future assessment of phase-to-rate code conversion may uncover additional mechanisms of information representation by different coding schemes (Figure 1). However, whether rate or phase codes are directly used by the brain to drive behaviour remains unknown, and will require dedicated investigation.

The authors declare no conflict of interest.

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来源期刊
CiteScore
15.90
自引率
1.90%
发文量
450
审稿时长
4 weeks
期刊介绍: Clinical and Translational Medicine (CTM) is an international, peer-reviewed, open-access journal dedicated to accelerating the translation of preclinical research into clinical applications and fostering communication between basic and clinical scientists. It highlights the clinical potential and application of various fields including biotechnologies, biomaterials, bioengineering, biomarkers, molecular medicine, omics science, bioinformatics, immunology, molecular imaging, drug discovery, regulation, and health policy. With a focus on the bench-to-bedside approach, CTM prioritizes studies and clinical observations that generate hypotheses relevant to patients and diseases, guiding investigations in cellular and molecular medicine. The journal encourages submissions from clinicians, researchers, policymakers, and industry professionals.
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