Tiesinga P H E, Sejnowski T J
Department of Physics and Astronomy, University of North Carolina, Chapel Hill, 27599, USA.
Neural Comput. 2004 Feb;16(2):251-75. doi: 10.1162/089976604322742029.
The synchrony of neurons in extrastriate visual cortex is modulated by selective attention even when there are only small changes in firing rate (Fries, Reynolds, Rorie, & Desimone, 2001). We used Hodgkin-Huxley type models of cortical neurons to investigate the mechanism by which the degree of synchrony can be modulated independently of changes in firing rates. The synchrony of local networks of model cortical interneurons interacting through GABA(A) synapses was modulated on a fast timescale by selectively activating a fraction of the interneurons. The activated interneurons became rapidly synchronized and suppressed the activity of the other neurons in the network but only if the network was in a restricted range of balanced synaptic background activity. During stronger background activity, the network did not synchronize, and for weaker background activity, the network synchronized but did not return to an asynchronous state after synchronizing. The inhibitory output of the network blocked the activity of pyramidal neurons during asynchronous network activity, and during synchronous network activity, it enhanced the impact of the stimulus-related activity of pyramidal cells on receiving cortical areas (Salinas & Sejnowski, 2001). Synchrony by competition provides a mechanism for controlling synchrony with minor alterations in rate, which could be useful for information processing. Because traditional methods such as cross-correlation and the spike field coherence require several hundred milliseconds of recordings and cannot measure rapid changes in the degree of synchrony, we introduced a new method to detect rapid changes in the degree of coincidence and precision of spike timing.
即使在放电率只有微小变化时,选择性注意也会调节纹外视觉皮层中神经元的同步性(弗里斯、雷诺兹、罗里和德西蒙,2001年)。我们使用皮层神经元的霍奇金-赫胥黎类型模型来研究同步程度如何能够独立于放电率变化而被调节的机制。通过GABA(A)突触相互作用的模型皮层中间神经元局部网络的同步性,在快速时间尺度上通过选择性激活一部分中间神经元来调节。被激活的中间神经元迅速同步,并抑制网络中其他神经元的活动,但前提是网络处于平衡突触背景活动的受限范围内。在更强的背景活动期间,网络不会同步,而在较弱的背景活动期间,网络会同步,但同步后不会恢复到异步状态。网络的抑制性输出在异步网络活动期间阻断锥体细胞的活动,而在同步网络活动期间,它增强锥体细胞的刺激相关活动对接收皮层区域的影响(萨利纳斯和塞乔诺斯基,2001年)。通过竞争实现同步提供了一种通过速率的微小改变来控制同步的机制,这可能对信息处理有用。由于传统方法如互相关和尖峰场相干需要几百毫秒的记录,并且无法测量同步程度的快速变化,我们引入了一种新方法来检测尖峰时间的重合度和精度的快速变化。