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Distributed processing and temporal codes in neuronal networks

机译:神经元网络中的分布式处理和时间代码

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摘要

The cerebral cortex presents itself as a distributed dynamical system with the characteristics of a small world network. The neuronal correlates of cognitive and executive processes often appear to consist of the coordinated activity of large assemblies of widely distributed neurons. These features require mechanisms for the selective routing of signals across densely interconnected networks, the flexible and context dependent binding of neuronal groups into functionally coherent assemblies and the task and attention dependent integration of subsystems. In order to implement these mechanisms, it is proposed that neuronal responses should convey two orthogonal messages in parallel. They should indicate (1) the presence of the feature to which they are tuned and (2) with which other neurons (specific target cells or members of a coherent assembly) they are communicating. The first message is encoded in the discharge frequency of the neurons (rate code) and it is proposed that the second message is contained in the precise timing relationships between individual spikes of distributed neurons (temporal code). It is further proposed that these precise timing relations are established either by the timing of external events (stimulus locking) or by internal timing mechanisms. The latter are assumed to consist of an oscillatory modulation of neuronal responses in different frequency bands that cover a broad frequency range from <2 Hz (delta) to >40 Hz (gamma) and ripples. These oscillations limit the communication of cells to short temporal windows whereby the duration of these windows decreases with oscillation frequency. Thus, by varying the phase relationship between oscillating groups, networks of functionally cooperating neurons can be flexibly configurated within hard wired networks. Moreover, by synchronizing the spikes emitted by neuronal populations, the saliency of their responses can be enhanced due to the coincidence sensitivity of receiving neurons in very much the same way as can be achieved by increasing the discharge rate. Experimental evidence will be reviewed in support of the coexistence of rate and temporal codes. Evidence will also be provided that disturbances of temporal coding mechanisms are likely to be one of the pathophysiological mechanisms in schizophrenia.
机译:大脑皮层表现为具有小型世界网络特征的分布式动力学系统。认知和执行过程的神经元关联通常似乎由广泛分布的神经元的大型程序集的协调活动组成。这些功能需要以下机制:跨密集互连的网络选择性地路由信号,将神经元组灵活且依赖于上下文的绑定绑定到功能一致的程序集中以及子系统的任务和注意力依赖的集成。为了实现这些机制,建议神经元反应应并行传达两个正交信息。他们应该指出(1)他们所调整到的特征的存在,以及(2)他们正在与其他神经元(特定目标细胞或相干组件的成员)进行通信。第一条消息以神经元的放电频率编码(速率码),建议第二条消息包含在分布式神经元的各个尖峰之间的精确定时关系中(时间码)。进一步建议通过外部事件的定时(刺激锁定)或内部定时机制来建立这些精确的定时关系。假定后者由不同频段的神经元响应的振荡调制组成,这些频段覆盖从<2 Hz(δ)到> 40 Hz(γ)的宽频率范围和波纹。这些振荡将细胞的通信限制在较短的时间窗内,由此这些窗的持续时间随振荡频率而降低。因此,通过改变振荡组之间的相位关系,可以在硬连线网络内灵活配置功能协作神经元的网络。此外,通过同步神经元群体发出的尖峰信号,由于接收神经元的重合灵敏度与提高放电速率所获得的效果几乎相同,因此可以增强其响应的显着性。为了支持速率和时间码的共存,将审查实验证据。也将提供证据,时间编码机制的干扰很可能是精神分裂症的病理生理机制之一。

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