School of Psychiatry, The University of New South Wales Sydney, NSW, Australia.
Front Comput Neurosci. 2012 Sep 11;6:67. doi: 10.3389/fncom.2012.00067. eCollection 2012.
Adaptive changes in behavior require rapid changes in brain states yet the brain must also remain stable. We investigated two neural mechanisms for evoking rapid transitions between spatiotemporal synchronization patterns of beta oscillations (13-30 Hz) in motor cortex. Cortex was modeled as a sheet of neural oscillators that were spatially coupled using a center-surround connection topology. Manipulating the inhibitory surround was found to evoke reliable transitions between synchronous oscillation patterns and traveling waves. These transitions modulated the simulated local field potential in agreement with physiological observations in humans. Intermediate levels of surround inhibition were also found to produce bistable coupling topologies that supported both waves and synchrony. State-dependent perturbation between bistable states produced very rapid transitions but were less reliable. We surmise that motor cortex may thus employ state-dependent computation to achieve very rapid changes between bistable motor states when the demand for speed exceeds the demand for accuracy.
行为的适应性变化需要大脑状态的快速变化，但大脑也必须保持稳定。我们研究了两种神经机制，用于引发运动皮层中β 振荡（13-30Hz）时空同步模式的快速转变。皮层被建模为一层神经振荡器，它们通过中心-环绕连接拓扑在空间上耦合。发现操纵抑制性环绕可以可靠地引发同步振荡模式和行波之间的转变。这些转变调制了模拟的局部场电位，与人类的生理观察一致。还发现中间水平的环绕抑制产生双稳态耦合拓扑，支持波和同步。双稳态状态之间的状态相关摄动产生了非常快速的转变，但可靠性较低。我们推测，运动皮层可能会因此采用状态相关计算，在速度需求超过精度需求时，在双稳态运动状态之间实现非常快速的变化。
