论文标题
更少的是：接线 - 经济模块化网络支持自我维持的射击 - 经济神经雪崩，以进行有效的处理
Less is More: Wiring-Economical Modular Networks Support Self-Sustained Firing-Economical Neural Avalanches for Efficient Processing
论文作者
论文摘要
大脑网络的成本效益非常高，而其在网络结构和活动中经济优化的基本物理和动态机制尚不清楚。在这里，我们研究了在生物学上合理的空间模块化神经元网络模型中结构和动力学之间复杂的成本效益相互作用。我们发现，在较低的接线成本的模块化网络拓扑下，关键的雪崩状态也可以达到更低的射击成本，但对刺激的响应敏感性强大。我们得出了通过新颖的近似理论来控制宏观网络动力学的平均场方程。低射击成本的机制和以关键雪崩形式更强的响应被解释为在增加其连接密度时靠近模块的HOPF分叉。我们的工作揭示了在神经系统中广泛观察到的成本效益模块化组织和关键动态的基础的通用机制，从而为大脑启发的有效计算设计提供了见解。
Brain network is remarkably cost-efficient while the fundamental physical and dynamical mechanisms underlying its economical optimization in network structure and activity are not clear. Here we study intricate cost-efficient interplay between structure and dynamics in biologically plausible spatial modular neuronal network models. We find that critical avalanche states from excitation-inhibition balance, under modular network topology with less wiring cost, can also achieve less costs in firing, but with strongly enhanced response sensitivity to stimuli. We derived mean-field equations that govern the macroscopic network dynamics through a novel approximate theory. The mechanism of low firing cost and stronger response in the form of critical avalanche is explained as a proximity to a Hopf bifurcation of the modules when increasing their connection density. Our work reveals the generic mechanism underlying the cost-efficient modular organization and critical dynamics widely observed in neural systems, providing insights to brain-inspired efficient computational designs.
