Jahnke Sven, Memmesheimer Raoul-Martin, Timme Marc
Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, Germany; Bernstein Center for Computational Neuroscience (BCCN), Göttingen, Germany; Institute for Nonlinear Dynamics, Fakultät für Physik, Georg-August Universität Göttingen, Göttingen Germany.
Department for Neuroinformatics, Donders Institute, Radboud University, Nijmegen, Netherlands.
PLoS Comput Biol. 2014 Dec 11;10(12):e1003940. doi: 10.1371/journal.pcbi.1003940. eCollection 2014 Dec.
Reliable signal transmission constitutes a key requirement for neural circuit function. The propagation of synchronous pulse packets through recurrent circuits is hypothesized to be one robust form of signal transmission and has been extensively studied in computational and theoretical works. Yet, although external or internally generated oscillations are ubiquitous across neural systems, their influence on such signal propagation is unclear. Here we systematically investigate the impact of oscillations on propagating synchrony. We find that for standard, additive couplings and a net excitatory effect of oscillations, robust propagation of synchrony is enabled in less prominent feed-forward structures than in systems without oscillations. In the presence of non-additive coupling (as mediated by fast dendritic spikes), even balanced oscillatory inputs may enable robust propagation. Here, emerging resonances create complex locking patterns between oscillations and spike synchrony. Interestingly, these resonances make the circuits capable of selecting specific pathways for signal transmission. Oscillations may thus promote reliable transmission and, in co-action with dendritic nonlinearities, provide a mechanism for information processing by selectively gating and routing of signals. Our results are of particular interest for the interpretation of sharp wave/ripple complexes in the hippocampus, where previously learned spike patterns are replayed in conjunction with global high-frequency oscillations. We suggest that the oscillations may serve to stabilize the replay.
可靠的信号传输是神经回路功能的关键要求。同步脉冲包通过循环回路的传播被认为是一种稳健的信号传输形式,并且在计算和理论研究中得到了广泛的探讨。然而,尽管外部或内部产生的振荡在整个神经系统中普遍存在,但其对这种信号传播的影响尚不清楚。在这里,我们系统地研究了振荡对传播同步性的影响。我们发现,对于标准的加性耦合以及振荡的净兴奋效应,与无振荡的系统相比,在不太显著的前馈结构中也能实现同步性的稳健传播。在存在非加性耦合(如由快速树突棘介导)的情况下,即使是平衡的振荡输入也可能实现稳健传播。在这里,出现的共振在振荡和尖峰同步之间产生复杂的锁定模式。有趣的是,这些共振使回路能够选择特定的信号传输路径。因此,振荡可能促进可靠的传输,并与树突非线性共同作用,通过选择性地门控和路由信号提供一种信息处理机制。我们的结果对于解释海马体中的尖波/涟漪复合体特别有意义,在那里先前学习的尖峰模式会与全局高频振荡一起回放。我们认为振荡可能有助于稳定回放。