基于生理解剖知识的入睡机制神经元群网络模型研究

以生理解剖知识为基础,在已有的丘脑网状核细胞和丘脑皮质细胞间组成的入睡机制的两细胞环路模型［１］和由此两细胞环路组成的网络模型［２］的基础上,提出了增加皮层细胞在内的三种细胞组成的环路模型和网络模型,以使模型更符合近来认为睡眠机制是皮层和丘脑环路中出现特定的同步振荡的看法［３］。并能使模型的仿真结果可以和规定人体睡眠分期的脑电特征波相对应。这一网络模型的仿真结果,在一定条件下,确能在皮层细胞处出现符合睡眠分期中规定的标志入睡的纺锤波,这一初步结果,启示我们用模型仿真方法来进一步探讨睡眠机制和用模型仿真方法来进一步探讨人脑的微观神经元的电活动是如何通过同步振荡整合到宏观功能状态的某些信息处理过程的可能性。     

电突触耦合Chay神经元同步振荡的研究

从微观解释异常神经元构建组织时癫痫样波形的相互制约关系对神经系统疾病的研究很有意义,而两神经元耦合特性的探索是重要的基础工作。采用Chay提供的Pacemaker神经元模型以电突触耦合来研究不同耦合强度对神经元动态时序的影响,并指出突触作用过程的混沌特征。给出并讨论了不同状态神经元相耦合时非线性振荡的数值计算结果,即：起搏神经元与处于冲动混沌状态神经元、处于冲动混沌和独态冲动状态的异常神经元、异常神经元与处于静息状态神经元的动态时序,还给出了部分相图以及Ca 离子浓度变化的特点。神经元这种负载特性的讨论有助于研究在活组织中癫痫发作的机理、传输和控制。     

视皮层神经元活动的振荡和同步振荡现象

视皮层神经元电活动的振荡和同步振荡现象是神经生理学实验的最新发现之一.这一研究成果在认知科学界引起广泛关注.学术界对它在认知心理学上的解释、作用及意义有不同的评论.     

耳蜗核神经元的简化现实性模型

采用我们以前提出的简化现实性神经网络模型［１］的一种修正形式,通过选定适当的参数,仿真了耳蜗核的类初级细胞（Ｐｒｉｍａｒｙ－ｌｉｋｅｃｅｌｌ）,梳状反应细胞（Ｃｈｏｐｐｅｒｒｅｓｐｏｎｓｅｃｅｌｌ）以及给刺激反应细胞（Ｏｎｓｅｔｒｅｓｐｏｎｓｅｃｅｌｌ）对短纯青刺激的刺激后时间直方图。并通过分析参数配置和仿真行为的对应关系,指出模型在生理学上的合理性。     

动态神经元的网络模型 Ⅰ.模型和算法

从生物神经元接收和处理信息的基本实验事实出发,提出了一种新的神经网络模型。这个模型修改了大多数现有人工神经网络中关于输出函数只反映静态特性的假设,而强调了神经元发放脉冲的动态过程。模型方程分别对应于突触后电位、感受器电位、始段分级电位和轴突上的的脉冲系列,每个方程都具有明确的生理意义。还给出了计算此非线性方程组解的递推算法和程序框图。因此不仅可对本模型作进一步的理论分析,也可在计算机上仿真,并和相应的生物学实验资料进行对照比较。     

动态神经元的网络模型 Ⅱ.计算机仿真

在动态神经元的网络模型的基础上,在计算机上进行了仿真。结果表明,我们的单元模型能再现感受器的适应性、兴奋后抑制、相位锁定和位置编码。由五十个这样的单元构成的侧抑制网络能再现鲎复眼侧抑制网络的瞬态特性,而在达到稳态时则表现出马赫带现象。仿真结果还预测侧抑制网络对运动目标特别敏感。模型有关神经元处理信息的内部机制和外部特性与生物神经元的一致性,以及由此构成的侧抑制网络与鲎复眼侧抑制网络性质的一致性,都提示此模型有希望成为一种更接近于生物神经网络的模型。     

自涌动态神经元集群-脑的时空编码新概念

概述了关于脑的时空编码概念的演化,涉及到下面一些问题：１）皮层神经元是以放电速率还是以放电定时编码信息;２）Ｂａｒｌｏｗ的“祖母细胞”和Ｈｅｂｂ经典细胞集群面临的挑战;３）Ｍａｌｓｂｕｒｇ的脑功能的相关理论和神经活动的同步振荡;４）Ｈｏｐｆｉｅｌｄ的神经编码原理和自涌动态神经元集群新概念;５）Ｔｈｅｔａ节律,ｇａｍｍａ振荡和２００Ｈｚ锁相振荡与脑的“时间编码空间”;最后,给出了一些讨论。     

碱中毒对小鼠皮质GABA能神经元特性和编码能力的影响

目的:研究碱中毒对小鼠皮质GABA能神经元内在特性和编码能力的影响,探讨碱中毒引起大脑功能障碍的机制。方法:选择17-22天FVB-Tg小鼠行脑片体外培养,实验对象分为碱中毒组和对照组。DIC光学显微镜下选择皮层II-III层GABA神经元,运用Axo Patch 200 B放大器全细胞模式,记录并分析神经元内在特性(包括阈电位、绝对不应期)的改变;记录与去极化脉冲相对应的峰值,分析GABA能神经元的编码能力。结果:1.阈电位峰值在对照组分别是24.58±0.68,25.44±0.82,27.02±0.78,27.55±0.74和28.66±0.79毫伏,碱中毒组分别是28.32±0.78,30.10±0.91,32.22±0.80,32.88±0.76和33.54±0.74毫伏,碱中毒组阈电位升高;绝对不应期在对照组和碱中毒组分别是4.15±0.06和5.09±0.08毫秒,碱中毒绝对不应期延长。2.两组在相同去极化刺激下诱发的连续峰值波形发生明显改变,碱中毒组产生峰值的能力下降。结论:1、碱中毒使皮质GABA能神经元动阈电位升高和绝对不应期延长;2、碱中毒降低皮质GABA能神经元编码峰值能力。     

动态神经网络中的同步振荡

目前有一种假设认为同一视觉对象是由一群神经元的同步振荡活动来表征的。这一神经元发放活动的时间特性,是解决视觉信息处理中“结合问题（Ｂｉｎｄｉｎｇｐｒｏｂｌｅｍ）”的可能机制。本文用我们所提出的一种简化现实性神经网络模型［１］所构造的时滞非线性振子网络［２］,模拟生物神经网络的同步振荡活动。并考虑了振子各参数的设置与振荡活动的关系,以及网络振子间耦联对同步活动的影响．     

神经元猝死时神经介质的爆发性释放

本文应用了斑片钳技术研究了瓜蟾胚胎神经元释放神经介质的特性,尤其是支配肌细胞的神经元猝死时爆发性地释放出大量乙酰胆碱(ACCho)的特性.并进而研究了与此有关的肌细胞膜上乙酰胆碱受体通道的性质.本文还讨论了神经元猝死时神经介质的爆发性释放与癫痫等神经疾病相关的可能性.     

Firing synchronization and temporal order in noisy neuronal networks

Noise-induced complete synchronization and frequency synchronization in coupled spiking and bursting neurons are studied firstly. The effects of noise and coupling are discussed. It is found that bursting neurons are easier to achieve firing synchronization than spiking ones, which means that bursting activities are more important for information transfer in neuronal networks. Secondly, the effects of noise on firing synchronization in a noisy map neuronal network are presented. Noise-induced synchronization and temporal order are investigated by means of the firing rate function and the order index. Firing synchronization and temporal order of excitatory neurons can be greatly enhanced by subthreshold stimuli with resonance frequency. Finally, it is concluded that random perturbations play an important role in firing activities and temporal order in neuronal networks.     

The phase response of the cortical slow oscillation

Cortical slow oscillations occur in the mammalian brain during deep sleep and have been shown to contribute to memory consolidation, an effect that can be enhanced by electrical stimulation. As the precise underlying working mechanisms are not known it is desired to develop and analyze computational models of slow oscillations and to study the response to electrical stimuli. In this paper we employ the conductance based model of Compte et al. (J Neurophysiol 89:2707–2725, 2003) to study the effect of electrical stimulation. The population response to electrical stimulation depends on the timing of the stimulus with respect to the state of the slow oscillation. First, we reproduce the experimental results of electrical stimulation in ferret brain slices by Shu et al. (Nature 423:288–293, 2003) from the conductance based model. We then numerically obtain the phase response curve for the conductance based network model to quantify the network’s response to weak stimuli. Our results agree with experiments in vivo and in vitro that show that sensitivity to stimulation is weaker in the up than in the down state. However, we also find that within the up state stimulation leads to a shortening of the up state, or phase advance, whereas during the up–down transition a prolongation of up states is possible, resulting in a phase delay. Finally, we compute the phase response curve for the simple mean-field model by Ngo et al. (EPL Europhys Lett 89:68002, 2010) and find that the qualitative shape of the PRC is preserved, despite its different mechanism for the generation of slow oscillations.     

Local cortical circuit model inferred from power-law distributed neuronal avalanches

How cortical neurons process information crucially depends on how their local circuits are organized. Spontaneous synchronous neuronal activity propagating through neocortical slices displays highly diverse, yet repeatable, activity patterns called “neuronal avalanches”. They obey power-law distributions of the event sizes and lifetimes, presumably reflecting the structure of local circuits developed in slice cultures. However, the explicit network structure underlying the power-law statistics remains unclear. Here, we present a neuronal network model of pyramidal and inhibitory neurons that enables stable propagation of avalanche-like spiking activity. We demonstrate a neuronal wiring rule that governs the formation of mutually overlapping cell assemblies during the development of this network. The resultant network comprises a mixture of feedforward chains and recurrent circuits, in which neuronal avalanches are stable if the former structure is predominant. Interestingly, the recurrent synaptic connections formed by this wiring rule limit the number of cell assemblies embeddable in a neuron pool of given size. We investigate how the resultant power laws depend on the details of the cell-assembly formation as well as on the inhibitory feedback. Our model suggests that local cortical circuits may have a more complex topological design than has previously been thought. Competing financial interests: The authors declare that they have no competing financial interests. Action Editor: Peter Latham     

Symmetry-breaking bifurcation: A possible mechanism for 2:1 frequency-locking in animal locomotion

The generation and control of animal locomotion is believed to involve central pattern generators — networks of neurons which are capable of producing oscillatory behavior. In the present work, the quadrupedal locomotor central pattern generator is modelled as four distinct but symmetrically coupled nonlinear oscillators. We show that the typical patterns for two such networks of oscillators include 2:1 frequency-locked oscillations. These patterns, which arise through symmetry-breaking Hopf bifurcation, correspond in part to observed patterns of 2:1 frequency-locking of limb movements during electrically elicited locomotion of decerebrate and spinal quadrupeds. We briefly describe how our theoretical predictions could be tested experimentally.     

Homeostatically regulated synchronized oscillations induced by short-term tetrodotoxin treatment in cultured neuronal network

Homeostatic plasticity plays a critical role in the stability of neuronal activities. Here, with high-density hippocampal networks cultured on multi-electrode arrays (MEAs), the transformation of spontaneous neuronal firing patterns induced by 1microM tetrodotoxin was clarified. Once tetrodotoxin was washed out after a 4-h treatment, spontaneous activities rose significantly with spike rate increasing approximately three times, and synchronized burst oscillations appeared throughout the network, with the cross-correlation coefficient between the active sites rising from 0.06+/-0.03 to 0.27+/-0.05. The long-term recording showed that the oscillations lasted for more than 4h before the network recovered. These results suggest that short-term treatment by tetrodotoxin may induce the homeostatically enhanced neuronal excitability, and that the spontaneous synchronized oscillations should be an indicator of homeostatic plasticity in cultured neuronal network. Furthermore, the non-invasive and long-term recording with MEAs as a novel sensing system is identified to be appropriate for pharmacological investigations of neuronal plasticity at the network level.     

Synchrony and Asynchrony in a Fully Stochastic Neural Network

We describe and analyze a model for a stochastic pulse-coupled neural network, in which the randomness in the model corresponds to synaptic failure and random external input. We show that the network can exhibit both synchronous and asynchronous behavior, and surprisingly, that there exists a range of parameters for which the network switches spontaneously between synchrony and asynchrony. We analyze the associated mean-field model and show that the switching parameter regime corresponds to a bistability in the mean field, and that the switches themselves correspond to rare events in the stochastic system.     

Experimental study of synchronization phenomena under periodic light irradiation of a nonlinear chemical system

A photosensitive chemical oscillating reaction, i.e., the Briggs-Rauscher (B.R.) reaction, exhibiting a wealth of nonlinear behavior, when performed in a continuous-flow stirred-tank reactor, and subjected to periodic light irradiation, is studied as an experimental example of entrainment phenomena observable in biological systems. The adaptation patterns under periodic light irradiation are elucidated by means of the response of the system to continuous and single-pulse light irradiation. It is shown that self-oscillating states, excitable steady states and bistable systems can exhibit the same types of synchronization patterns when submitted to periodic external forces with appropriate amplitude and time scale conditions.     

Exogenous Choline Enhances the Synthesis of Acetylcholine Only Under Conditions of Increased Cholinergic Neuronal Activity

Abstract: The effect of choline (60 mg/kg, i.p.) on fluphenazine- and pentylenetetrazol-induced alterations in the concentration of acetylcholine (ACh) and/or the rate of sodium-dependent high-affinity choline uptake (HACU) in rat striatum and hippocampus was studied. Systemic administration of the dopamine receptor blocking agent fluphenazine hydrochloride (0.5 mg/kg, i.p.) decreased the concentration of ACh in the striatum; this effect was prevented by the prior administration of choline. The central nervous system stimulant pentylenetetrazol (30 mg/kg, i.p.) reduced the concentration of ACh in both striatum and hippocampus and increased the velocity of HACU in the hippocampus. Pretreatment with choline totally prevented the depletion of ACh induced by pentylenetetrazol in the striatum. In the hippocampus, prior administration of choline prevented the pentylenetetrazol-induced increase in the rate of HACU and attenuated the effect of pentylenetetrazol on the levels of ACh. Results indicate that the acute administration of choline antagonizes pharmacologically induced alterations in cholinergic activity as assessed by the rate of HACU and the steady-state concentration of ACh. Furthermore, data support the hypothesis that the administration of choline increases the ability of central cholinergic neurons to synthesize ACh under conditions of increased neuronal activity.     

Poly-N-Acetyllactosamine Glycans of Cellular Glycoproteins: Predominance of Linear Chains in Mouse Neuroblastoma and Rat Pheochromocytoma Cell Lines

To study the properties of protein-bound oligosaccharides in neuronally differentiating cells, two model systems were used: murine N1E-115 and N-18 neuroblastoma cells inducible by serum starvation and rat PC12 pheochromocytoma cells inducible by nerve growth factor. Glycopeptides were prepared from cells metabolically labeled with [3H]glucosamine and analyzed by gel filtration. The properties of the high-molecular-weight glycopeptides were studied using enzymatic digestion with neuraminidase and endo-beta-galactosidase. In contrast to other cell lines analyzed, the neuroblastoma and pheochromocytoma lines contained predominantly glycopeptides completely cleavable with endo-beta-galactosidase, which indicated that they were linear-type poly-N-acetyllactosamine glycans. The proportion of these linear chains in the high-molecular-weight fraction increased during neuronal differentiation in both cell systems. The linear nature of the glycans was also correlated with positive anti-i and negative anti-I reactivity of the cells in immunofluorescence microscopy. Specific cell surface labeling for poly-N-acetyllactosamine glycans and sodium dodecyl sulfate-polyacrylamide gel electrophoresis revealed several glycoprotein components, some of which showed changes during neuronal differentiation. The high proportion of linear poly-N-acetyllactosamine chains in these neuronal cell lines and its increase during neuronal differentiation suggests that these glycans may be a characteristic feature of neuronal or neuronally differentiating cells.