Leiner H C, Leiner A L
Channing House, Palo Alto, California 94301, USA.
Int Rev Neurobiol. 1997;41:535-53. doi: 10.1016/s0074-7742(08)60369-4.
Can the principles underlying the design of computers help to explain the cognitive capabilities of the human brain? This chapter shows that these principles can provide insight into the capabilities of the human cerebellum, the internal structure of which bears a remarkable resemblance to the design of a versatile computer. In computers, information processing is accomplished both by the hardware in the system (its circuitry) and by the software (the communication capabilities inherent in its circuitry), which is combination can produce a versatile information-processing system, capable of performing a wide variety of functions, including motor, sensory, cognitive, and linguistic ones. Such versatility of function is achieved by computer hardware in which many modules of similar circuits are organized into parallel processing networks; this structural organization is exemplified in the cerebellum by its longitudinal modules of similar circuits, which are arrayed in parallel zones throughout the structure. On the basis of this known cerebellar "hardware," it is possible to investigate the "software" capabilities inherent in the circuitry of the modules. Each module in the lateral cerebellum seems able to communicate with the cerebral cortex by sending out signals over a segregated bundle of nerve fibers, which is a powerful way of communicating information. We show why this bundling of fibers can enable the cerebellum to communicate with the cerebral cortex (including the prefrontal cortex) at a high level of discourse by using internal languages that are capable of conveying complex information about what to do and when to do it. We propose that such communication activity is reflected in the activation obtained on functional imaging of the cerebro-cerebellar system during the performance by humans of complex motor, sensory, cognitive, linguistic, and affective tasks. Further, we propose a new way of analyzing such cerebro-cerebellar activation, in order to ascertain whether the cerebellar circuitry can (like the circuitry in a versatile computer) perform a wide repertoire of computations on this wide range of information. It seems important to ascertain whether cerebellar circuitry is versatile in its computing capabilities because the demonstration of such versatile capabilities would enable theorists to resolve many of the current controversies about cognitive processing in the mammalian brain.
计算机设计所依据的原理能否有助于解释人类大脑的认知能力?本章表明,这些原理能够为了解人类小脑的能力提供洞见,小脑的内部结构与通用计算机的设计有着显著的相似之处。在计算机中,信息处理是由系统中的硬件(其电路)和软件(其电路固有的通信能力)共同完成的,这种组合能够产生一个通用的信息处理系统,能够执行各种各样的功能,包括运动、感觉、认知和语言功能。功能的这种通用性是通过计算机硬件实现的,其中许多相似电路的模块被组织成并行处理网络;这种结构组织在小脑中表现为其相似电路的纵向模块,这些模块在整个结构中排列在并行区域。基于这种已知的小脑“硬件”,就有可能研究模块电路中固有的“软件”能力。小脑外侧的每个模块似乎都能够通过一束分离的神经纤维发出信号,与大脑皮层进行通信,这是一种强大的信息传递方式。我们展示了为什么这种纤维束能够使小脑通过使用能够传达关于做什么和何时做的复杂信息的内部语言,在高层次的话语层面上与大脑皮层(包括前额叶皮层)进行通信。我们提出,这种通信活动反映在人类执行复杂运动、感觉、认知、语言和情感任务期间,脑-小脑系统功能成像所获得的激活中。此外,我们提出了一种分析这种脑-小脑激活的新方法,以确定小脑电路是否能够(像通用计算机中的电路一样)对这一广泛的信息执行大量的计算。确定小脑电路在计算能力方面是否具有通用性似乎很重要,因为证明这种通用能力将使理论家能够解决目前关于哺乳动物大脑认知处理的许多争议。