猫运动皮层内篮状细胞的立体重构,递质性质及突触分布

用细胞内HRP染色的方法显示该神经元位于猫运动皮层十字沟后,在第Ⅱ/Ⅲ层之间(软膜以下438μm处),胞体截面积为15.6×28.1μm~2,呈多极形,树突呈串珠状,向四周扩展,无侧棘,轴突由胞体下方伸出,返折向上,包绕胞体周围,以软膜平行的吻尾方向行走为主,有一分枝向白质方向延伸.从立体重构图的不同角度观察,其形态不对称,如沿X轴方向旋转60°后,其形态呈扁平形,用胶体金免疫电镜观察,该神经元的递质性质为GABA能的.胞体及树突上分布有非对称型和对称型的突触,对称型的突触中有的是GABA能的,有的是非GABA能的.其轴突有髓鞘包绕,末梢与其它神经元的胞体形成一处以上相连或不相连的对称型突触,也可与其它树突形成对称型的突触.根据该神经元的形态,递质性质及突触分布的特征,可确认它是篮状细胞.     

人心连续组织切片的计算机三维重建

用表面重建法对人心连续组织切片进行了三维重建，重建中应用了火棉胶断面切片技术及图像拟合与插值处理，与以往的解剖断面重建比较，图像更加清晰、逼真，可从不同观察心脏的外部轮廓与内部结构。作为三维重建的基础性研究，可为心血管影像诊断提供解剖形态学依据和可靠的三维软件。     

在人工神经网络中引入混沌的必要性

本文从Freeman的生理学实验和仿真实验的结果出发,综合了Freeman和Tsuda对生物神经网络中混沌动力学的解释,从信息流动的角度论述了在生物神经网络中混沌存在的必要性和引入混沌机制的人工神经网络模型所具有的信息处理的潜力,指出认知系统对外界输入的反应是其动力学行为性质的改变而不仅是静态的数值输出.并认为具有混沌动力学性质的神经网络应同时具有模式分类器和解释器的双重作用.这一结合来自于系统的混沌动力性质.描述了混沌在模式识别中的作用,指出了其相对ART等传统神经网络模型的一些优势.部分结论在仿真实验中得到了证实.     

Holter系统的技术要求及神经网络方法

为了长时间、准确的记录分分析体表ＥＣＧ，从各个方面满足基础研究、临床、康复以及特殊生理需要，对Ｈｏｌｔｅｒ系统提出了愈来愈高的要求。作者从技术实现的角度讨论了Ｈｏｌｔｅｒ的主要技术要求，包括记录部分和分析部分；还介绍了几种用神经网络模型满足Ｈｏｌｔｅｒ系统技术要求的原理，包括用多层感知器实现数据压缩及分类，用高阶神经网络实现ＥＣＧ的分类，以及用ＡＲＴ模型识别ＥＣＧ中的Ｐ波与Ｔ波。     

用高价人抗HBs在人体内诱导产生抗HBs

本文探讨用外源性人抗HBs在人体通过免疫网络诱导产生自身的抗HBs的可能性。志愿者经多次注射人高价抗HBs(Ab_1)后,体内产生了Ab_2,进而产生出特异性与Ab_1相同的Ab_3;当Ab_3水平升高时,Ab_2水平下降。此结果证实了人体内独特型网络的存在及其活跃的调节功能,表明用于被动免疫的人抗HBs在人体也能通过激活独特型网络产生主动免疫保护作用。此外,本文的结果还提示,注射人抗HBs后,人体内产生的Ab_2可模拟HBsAg,使常规的HBsAg检查出现假阳性结果。     

大学生个体印象管理对其社会网络质量的影响

目的:研究个体印象管理对其社会网络质量的影响。方法:选用社会网络调查法、大学生印象管理量表,对46名大学生进行调查。结果:印象管理建构的提高不利于朋友网和沟通网的强联系人数量的增加(β分别为-1.04和-1.33,P分别小于0.05和0.01;F值分别为4.19和6.45,P分别小于0.05和0.01),而印象管理动机对强联系人的数量并没有影响,并且印象管理动机和印象管理结构都不影响个体为中心网络的紧密性。结论:只有个体印象管理的建构部分不利于其社会网络中的强联系人数量的增加。其他部分对社会网络无明显影响。     

Neural dynamics in cortex-striatum co-cultures-II. Spatiotemporal characteristics of neuronal activity

Neural dynamics in organotypic cortex-striatum co-cultures grown for three to six weeks under conditions of dopamine deficiency are described. Single neuron activities were recorded intra- and extracellularly, and spatiotemporal spreading of population activity was mapped using voltage-sensitive dyes. The temporal properties of spike firing were characterized by interspike interval histograms, autocorrelation and crosscorrelation.

Cortical pyramidal neurons (n = 40) showed irregular firing with a weak tendency to burst or to oscillate. Crosscorrelations revealed strong near-coincident firing and synaptic interactions. Disinhibition was a notable feature in a strongly firing cortical interneuron. Cortical activity spread in the co-culture, thus inducing an overall, homogeneous depolarization in the striatal part. Striatal cells were divided into principal cells and type I and II secondary cells. Principal cells (n = 40) were similar to those reported previously in vivo. Spiking activity ranged from irregular spiking at very low rates to episodic bursting, with an average burst duration of 1 s. Interspike intervals were single-peaked. Intracellular recordings revealed characteristic, long-lasting subthreshold depolarizations (“enabled state”) that were shortened by local muscarinic receptor blockade. During prolonged time periods in the “enabled state”, locally applied bicuculline induced strong firing in most principal neurons. Striatal secondary type I neurons (n = 25) showed high spiking rates, single- and double-peaked interval histograms and low-threshold, short-lasting stereotyped bursting activity and occasional rhythmic bursting. The firing of these neurons was increased by bicuculline. Crosscorrelations showed synchronization of these cells with principal cell activity. Secondary type II neurons (n = 15) revealed tonic, irregular firing patterns similar to cortical neurons, except with occasional firing in doublet spikes.

We conclude that under conditions of dopamine deficiency in corticostriatal co-cultures (i) the cortex induces the “enabled” state and typical bursting mode in striatal principal neurons; (ii) principal neurons are strongly inhibited during the “enabled” state; (iii) muscarinic activity, presumably from tonically active striatal cholinergic interneurons, stabilizes the “enabled” state; (iv) striatal GABAergic interneurons receive synaptic inhibition and take part in synchronized activity among striatal principal cells. Our results favor the view of the striatum as a lateral inhibition network.     

Real-time ocular artifact suppression using recurrent neural network for electro-encephalogram based brain-computer interface

The paper presents an adaptive noise canceller (ANC) filter using an artificial neural network for real-time removal of electro-oculogram (EOG) interference from electro-encephalogram (EEG) signals. Conventional ANC filters are based on linear models of interference. Such linear models provide poorer prediction for biomedical signals. In this work, a recurrent neural network was employed for modelling the interference signals. The eye movement and eye blink artifacts were recorded by the placing of an electrode on the forehead above the left eye and an electrode on the left temple. The reference signal was then generated by the data collected from the forehead electrode being added to data recorded from the temple electrode. The reference signal was also contaminated by the EEG. To reduce the EEG interference, the reference signal was first low-pass filtered by a moving averaged filter and then applied to the ANC. Matlab Simulink was used for real-time data acquisition, filtering and ocular artifact suppression. Simulation results show the validity and effectiveness of the technique with different signal-to-noise ratios (SNRs) of the primary signal. On average, a significant improvement in SNR up to 27 dB was achieved with the recurrent neural network. The results from real data demonstrate that the proposed scheme removes ocular artifacts from contaminated EEG signals and is suitable for real-time and short-time EEG recordings.     

Confocal observation of senile plaques in Alzheimer's disease: Senile plaque morphology and relationship between senile plaques and astrocytes

Senile plaques In the brains of Alzheimer's disease (AD) were examined by confocal laser scanning microscopy (CLSM) with the following three findings. First, in sections stained with Congo red, the serial CLSM images of optical sections clearly revealed that a classic plaque is composed of a plaque core and a corona. Radially arranged process-like structures, corresponding to bundles of amyloid fibrils, formed amyloid cores and stronger signals were detected in the center of some cores. Second, in sections stained with Congo red and anti-gllal fibrillary acidic protein (GFAP), reactive astrocytes were found around the senile plaques and many astrocytlc processes surrounded the plaque cores and some processes had penetrated into them. Third, three-dimensional reconstruction on classic plaque revealed that the surface of classic plaque showed a 'coral-like' appearance.     

用于选择视觉的数据和智能控制神经网络系统(英文)

在这篇论文中,我们提出了用于选择视觉的数据和智能控制的动态网络系统的神经实现过程。模型由数个相互作用的子系统构成,用于不同的处理。所有的神经子系统与信息和控制流程的倒序和顺序紧密相关。