Triggering a cell shape change by exploiting preexisting actomyosin contractions

Apical constriction changes cell shapes, driving critical morphogenetic events, including gastrulation in diverse organisms and neural tube closure in vertebrates. Apical constriction is thought to be triggered by contraction of apical actomyosin networks. We found that apical actomyosin contractions began before cell shape changes in both Caenorhabitis elegans and Drosophila. In C. elegans, actomyosin networks were initially dynamic, contracting and generating cortical tension without substantial shrinking of apical surfaces. Apical cell-cell contact zones and actomyosin only later moved increasingly in concert, with no detectable change in actomyosin dynamics or cortical tension. Thus, apical constriction appears to be triggered not by a change in cortical tension, but by dynamic linking of apical cell-cell contact zones to an already contractile apical cortex.     

Early tagging of cortical networks is required for the formation of enduring associative memory

Although formation and stabilization of long-lasting associative memories are thought to require time-dependent coordinated hippocampal-cortical interactions, the underlying mechanisms remain unclear. Here, we present evidence that neurons in the rat cortex must undergo a "tagging process" upon encoding to ensure the progressive hippocampal-driven rewiring of cortical networks that support remote memory storage. This process was AMPA- and N-methyl-D-aspartate receptor-dependent, information-specific, and capable of modulating remote memory persistence by affecting the temporal dynamics of hippocampal-cortical interactions. Post-learning reinforcement of the tagging process via time-limited epigenetic modifications resulted in improved remote memory retrieval. Thus, early tagging of cortical networks is a crucial neurobiological process for remote memory formation whose functional properties fit the requirements imposed by the extended time scale of systems-level memory consolidation.     

The pulvinar regulates information transmission between cortical areas based on attention demands

Selective attention mechanisms route behaviorally relevant information through large-scale cortical networks. Although evidence suggests that populations of cortical neurons synchronize their activity to preferentially transmit information about attentional priorities, it is unclear how cortical synchrony across a network is accomplished. Based on its anatomical connectivity with the cortex, we hypothesized that the pulvinar, a thalamic nucleus, regulates cortical synchrony. We mapped pulvino-cortical networks within the visual system, using diffusion tensor imaging, and simultaneously recorded spikes and field potentials from these interconnected network sites in monkeys performing a visuospatial attention task. The pulvinar synchronized activity between interconnected cortical areas according to attentional allocation, suggesting a critical role for the thalamus not only in attentional selection but more generally in regulating information transmission across the visual cortex.     

Neuronal oscillations in cortical networks

Clocks tick, bridges and skyscrapers vibrate, neuronal networks oscillate. Are neuronal oscillations an inevitable by-product, similar to bridge vibrations, or an essential part of the brain's design? Mammalian cortical neurons form behavior-dependent oscillating networks of various sizes, which span five orders of magnitude in frequency. These oscillations are phylogenetically preserved, suggesting that they are functionally relevant. Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.     

中国农村消费需求的制约因素及对策初探

拉动内需、扩大消费以刺激经济增长,是当前应对金融危机较为有效的手段,而对中国这样一个农业大国,农村居民消费需求的不足成为当前制约消费增长的瓶颈。在分析制约中国农村消费需求的因素基础上,从转变农民消费观念、引导居民支出预期、强化社会保障体系、健全农村流通网络及生活基础设施建设等方面加以探讨。     

扫除障碍 为农业插上信息的翅膀——我国农业信息化现状与发展建设

本文根据不同农村地区信息化建设发展调查的数据,研究影响和制约农村信息化建设缓慢的因素,探讨今后如何引导农村进行信息化建设,让计算机和网络更好地为农业和农民服务.     

Early γ oscillations synchronize developing thalamus and cortex

During development, formation of topographic maps in sensory cortex requires precise temporal binding in thalamocortical networks. However, the physiological substrate for such synchronization is unknown. We report that early gamma oscillations (EGOs) enable precise spatiotemporal thalamocortical synchronization in the neonatal rat whisker sensory system. Driven by a thalamic gamma oscillator and initially independent of cortical inhibition, EGOs synchronize neurons in a single thalamic barreloid and corresponding cortical barrel and support plasticity at developing thalamocortical synapses. We propose that the multiple replay of sensory input in thalamocortical circuits during EGOs allows thalamic and cortical neurons to be organized into vertical topographic functional units before the development of horizontal binding in adult brain.     

基于距离和角度信息的无线传感器网络定位算法

提出一种基于距离和信号到达角信息的无线传感器网络节点自身定位算法.在所有节点的坐标轴方向都是未知的假定下,用信号到达角信息来计算信号到达角度差,然后将定位问题转化为一个凸集优化问题,节点间的几何关系也相应地转化成为线性或二次约束条件.当距离和角度测量值足够精确时,该算法是一个线性规划问题.考虑测量误差时,通过引入辅助变量,该算法可以转化为二次规划问题.通过仿真分析证明了该定位算法的有效性,并对距离和角度误差量对定位精度的影响进行了定量分析.仿真结果表明,在距离和角度误差为5%的时候,该定位算法可以满足定位精度要求.     

A simple type of wood in two Early Devonian plants

The advent of wood (secondary xylem) is a major event of the Paleozoic Era, facilitating the evolution of large perennial plants. The first steps of wood evolution are unknown. We describe two small Early Devonian (407 to 397 million years ago) plants with secondary xylem including simple rays. Their wood currently represents the earliest evidence of secondary growth in plants. The small size of the plants and the presence of thick-walled cortical cells confirm that wood early evolution was driven by hydraulic constraints rather than by the necessity of mechanical support for increasing height. The plants described here are most probably precursors of lignophytes.     

Patterning and plasticity of the cerebral cortex

The cerebral cortex of the human brain is a sheet of about 10 billion neurons divided into discrete subdivisions or areas that process particular aspects of sensation, movement, and cognition. Recent evidence has begun to transform our understanding of how cortical areas form, make specific connections with other brain regions, develop unique processing networks, and adapt to changes in inputs.     

Synfire chains and cortical songs: temporal modules of cortical activity

How can neural activity propagate through cortical networks built with weak, stochastic synapses? We find precise repetitions of spontaneous patterns of synaptic inputs in neocortical neurons in vivo and in vitro. These patterns repeat after minutes, maintaining millisecond accuracy. Calcium imaging of slices reveals reactivation of sequences of cells during the occurrence of repeated intracellular synaptic patterns. The spontaneous activity drifts with time, engaging different cells. Sequences of active neurons have distinct spatial structures and are repeated in the same order over tens of seconds, revealing modular temporal dynamics. Higher order sequences are replayed with compressed timing.     

Distal initiation and active propagation of action potentials in interneuron dendrites

Fast and reliable activation of inhibitory interneurons is critical for the stability of cortical neuronal networks. Active conductances in dendrites may facilitate interneuron activation, but direct experimental evidence was unavailable. Patch-clamp recordings from dendrites of hippocampal oriens-alveus interneurons revealed high densities of voltage-gated sodium and potassium ion channels. Simultaneous recordings from dendrites and somata suggested that action potential initiation occurs preferentially in the axon with long threshold stimuli, but can be shifted to somatodendritic sites when brief stimuli are applied. After initiation, action potentials propagate over the somatodendritic domain with constant amplitude, high velocity, and reliability, even during high-frequency trains.     

复杂网络混沌系统的最优控制

考虑到控制系统能量限制的要求，确定了一个二次目标函数，基于最优控制理论给出了复杂网络混沌系统的最优控制律，利用Lyapunov稳定性理论证明了闭环系统的稳定性，数值结果证明了该方法的有效性.     

Excitatory effect of GABAergic axo-axonic cells in cortical microcircuits

Axons in the cerebral cortex receive synaptic input at the axon initial segment almost exclusively from gamma-aminobutyric acid-releasing (GABAergic) axo-axonic cells (AACs). The axon has the lowest threshold for action potential generation in neurons; thus, AACs are considered to be strategically placed inhibitory neurons controlling neuronal output. However, we found that AACs can depolarize pyramidal cells and can initiate stereotyped series of synaptic events in rat and human cortical networks because of a depolarized reversal potential for axonal relative to perisomatic GABAergic inputs. Excitation and signal propagation initiated by AACs is supported by the absence of the potassium chloride cotransporter 2 in the axon.     

Lynx1, a cholinergic brake, limits plasticity in adult visual cortex

Experience-dependent brain plasticity typically declines after an early critical period during which circuits are established. Loss of plasticity with closure of the critical period limits improvement of function in adulthood, but the mechanisms that change the brain's plasticity remain poorly understood. Here, we identified an increase in expression of Lynx1 protein in mice that prevented plasticity in the primary visual cortex late in life. Removal of this molecular brake enhanced nicotinic acetylcholine receptor signaling. Lynx1 expression thus maintains stability of mature cortical networks in the presence of cholinergic innervation. The results suggest that modulating the balance between excitatory and inhibitory circuits reactivates visual plasticity and may present a therapeutic target.     

Understanding the organization of sharing economy in agri-food systems: evidence from alternative food networks in Valencia

Despite the proliferation of sharing economy initiatives in agri-food systems, the recent literature has still not unravelled what sharing exactly entails from an organizational standpoint. In light of this knowledge gap, this study aims to understand which resources are shared, and how, in a heterogeneous set of sharing economy initiatives in the context of food and agriculture. Specifically, this study compares the organization of various forms of alternative food networks (AFNs), which are recognized to be frugal forms of sharing economy initiatives (i.e., locally based, small-scale and with limited use of information technology), in terms of leadership, bureaucracy, shared resources and participants’ engagement. Data from a comparative case study across 18 AFNs identify five sharing economy models of AFNs with distinctive shared resources and organizational mechanisms: consumer groups; commercial community gardens; as well as network-based, privately owned and publicly owned self-consumption community gardens. These models also display notable differences in terms of their origins, participants’ goals and constraints which, to some extent, may be associated to the nature of their organization. Findings inform policy-makers, AFNs’ leaders and stakeholders—especially those seeking to support innovative models towards sustainable transitions—on how to tailor institutional norms and develop networks to meet the heterogeneous needs of different typologies of sharing economy initiatives in agri-food systems.     

Correlated bursts of activity in the neonatal hippocampus in vivo

The behavior of immature cortical networks in vivo remains largely unknown. Using multisite extracellular and patch-clamp recordings, we observed recurrent bursts of synchronized neuronal activity lasting 0.5 to 3 seconds that occurred spontaneously in the hippocampus of freely moving and anesthetized rat pups. The influence of slow rhythms (0.33 and 0.1 hertz) and the contribution of both gamma-aminobutyric acid A-mediated and glutamate receptor-mediated synaptic signals in the generation of hippocampal bursts was reminiscent of giant depolarizing potentials observed in vitro. This earliest pattern, which diversifies during the second postnatal week, could provide correlated activity for immature neurons and may underlie activity-dependent maturation of the hippocampal network.     

Sites of neocortical reorganization critical for remote spatial memory

The hippocampus is crucial for spatial memory formation, yet it does not store long-lasting memories. By combining functional brain imaging and region-specific neuronal inactivation in mice, we identified prefrontal and anterior cingulate cortices as critical for storage and retrieval of remote spatial memories [correction]. Imaging of activity-dependent genes also revealed an involvement of parietal and retrosplenial cortices during consolidation of remote memory. Long-term memory storage within some of these neocortical regions was accompanied by structural changes including synaptogenesis and laminar reorganization, concomitant with a functional disengagement of the hippocampus and posterior cingulate cortex [correction]. Thus, consolidation of spatial memory requires a time-dependent hippocampal-cortical dialogue, ultimately enabling widespread cortical networks to mediate effortful recall and use of cortically stored remote memories independently.     

网络实时通信协议设计

依据实时通信系统和当前主要局域网的特点,提出并研究在多点接入网络中进行实时通讯的窗口来传输带时间限制的信息,它与传统窗口协议的ＩＥＥＥ８０２标准的不同之处在于详细考虑了时间限制,窗口的形成是以信息的最迟发送时间为基础。本协议的优点是,如果一个新到达信息的ｔｓ比系统中所有等待信息的ｔｓ小,则它就可以立即被传输。因此,该协议完成了优化的“最小疏密度优先”原则。