Bonzon Pierre
Department of Information Systems, Faculty of HEC, University of Lausanne, 1015 Lausanne, Switzerland.
Cogn Neurodyn. 2017 Aug;11(4):327-353. doi: 10.1007/s11571-017-9435-3. Epub 2017 Apr 1.
A computational architecture modeling the relation between perception and action is proposed. Basic brain processes representing synaptic plasticity are first abstracted through asynchronous communication protocols and implemented as virtual microcircuits. These are used in turn to build mesoscale circuits embodying parallel cognitive processes. Encoding these circuits into symbolic expressions gives finally rise to neuro-inspired programs that are compiled into pseudo-code to be interpreted by a virtual machine. Quantitative evaluation measures are given by the modification of synapse weights over time. This approach is illustrated by models of simple forms of behaviors exhibiting cognition up to the third level of animal awareness. As a potential benefit, symbolic models of emergent psychological mechanisms could lead to the discovery of the learning processes involved in the development of cognition. The executable specifications of an experimental platform allowing for the reproduction of simulated experiments are given in "Appendix".
提出了一种对感知与行动之间关系进行建模的计算架构。首先通过异步通信协议对表示突触可塑性的基本大脑过程进行抽象,并将其实现为虚拟微电路。这些虚拟微电路又被用于构建体现并行认知过程的中尺度电路。将这些电路编码为符号表达式最终产生受神经启发的程序,这些程序被编译为伪代码以便由虚拟机进行解释。通过随时间修改突触权重给出定量评估指标。通过展示直至动物意识第三级认知的简单行为形式的模型来说明这种方法。作为一个潜在的好处,涌现心理机制的符号模型可能会导致发现认知发展中涉及的学习过程。“附录”中给出了一个允许重现模拟实验的实验平台的可执行规范。