Perrig Stephen, Iglesias Javier, Shaposhnyk Vladislav, Chibirova Olga, Dutoit Pierre, Cabessa Jérémie, Espa-Cervena Katerina, Pelletier Laurent, Berger François, Villa Alessandro E P
Sleep Research Laboratory, Department of Psychiatry, Hôpitaux Universitaires de Genève Chêne-Bourg, Switzerland.
Chin J Physiol. 2010 Dec 31;53(6):382-95. doi: 10.4077/cjp.2010.amm039.
A scalable hardware/software hybrid module--called Ubidule--endowed with bio-inspired ontogenetic and epigenetic features is configured to run a neural networks simulation with developmental and evolvable capabilities. We simulated the activity of hierarchically organized spiking neural networks characterized by an initial developmental phase featuring cell death followed by spike timing dependent synaptic plasticity in presence of background noise. An upstream 'sensory' network received a spatiotemporally organized external input and downstream networks were activated only via the upstream network. Precise firing sequences, formed by recurrent patterns of spikes intervals above chance levels, were observed in all recording conditions, thus suggesting the build-up of a connectivity able to sustain temporal information processing. The activity of a Ubinet--a network of Ubidules--is analyzed by means of virtual electrodes that recorded neural signals similar to EEG. The analysis of these signals was compared with a small set of human recordings and revealed common patterns of shift in quadratic phase coupling. The results suggest some interpretations of changes and plasticity of functional interactions between cortical areas driven by external stimuli and by learning/cognitive
一种名为Ubidule的可扩展硬件/软件混合模块，具有受生物启发的个体发生和表观遗传特征，被配置为运行具有发育和可进化能力的神经网络模拟。我们模拟了分层组织的脉冲神经网络的活动，其特征在于初始发育阶段以细胞死亡为特征，随后在存在背景噪声的情况下出现依赖于脉冲时间的突触可塑性。上游的“感觉”网络接收时空组织的外部输入，下游网络仅通过上游网络被激活。在所有记录条件下都观察到了由高于随机水平的脉冲间隔的循环模式形成的精确放电序列，从而表明能够维持时间信息处理的连接性的建立。通过记录类似于脑电图的神经信号的虚拟电极来分析Ubinet（一种由Ubidule组成的网络）的活动。将这些信号的分析与一小部分人类记录进行比较，揭示了二次相位耦合的常见变化模式。结果表明了对由外部刺激以及学习/认知驱动的皮质区域之间功能相互作用的变化和可塑性的一些解释。
