Rambidi N G, Maximychev A V
International Research Institute for Management Sciences, Moscow, Russia.
Biosystems. 1997;41(3):195-211. doi: 10.1016/s0303-2647(96)01678-4.
The information processing capabilities of biomolecular excitable media based on nonlinear dynamic mechanisms are discussed. Given even the simplest medium geometry, dynamics and information processing features inherent in biomolecular excitable media proves to be diverse and sophisticated. For the case of pseudo two-dimensional versions these media can be described in terms of neural networks having lateral connections. The main responses of shunting on-center off-surround feedback neural networks and pseudo two-dimensional excitable systems to the external excitations are surprisingly similar. The excitable media are capable of short-time memory, of contour enhancement and quenching or amplifying small features depending on medium state. The analogies discussed reaffirm specific neural net characteristics of excitable media and give the opportunity to estimate more accurate excitable medium characteristics.
讨论了基于非线性动力学机制的生物分子可兴奋介质的信息处理能力。即使给定最简单的介质几何形状，生物分子可兴奋介质固有的动力学和信息处理特征也被证明是多样而复杂的。对于伪二维版本的情况，这些介质可以用具有横向连接的神经网络来描述。分流型中心-外周反馈神经网络和伪二维可兴奋系统对外部刺激的主要响应惊人地相似。可兴奋介质能够进行短时记忆，能够根据介质状态增强或抑制轮廓以及淬灭或放大微小特征。所讨论的类比再次证实了可兴奋介质的特定神经网络特性，并为更准确地估计可兴奋介质特性提供了机会。
