Department of Philosopy, University of Pennsylvania, Philadelphia, PA, USA.
Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
Nat Rev Neurosci. 2021 Jun;22(6):359-371. doi: 10.1038/s41583-021-00448-6. Epub 2021 Apr 15.
Cognition can be defined as computation over meaningful representations in the brain to produce adaptive behaviour. There are two views on the relationship between cognition and the brain that are largely implicit in the literature. The Sherringtonian view seeks to explain cognition as the result of operations on signals performed at nodes in a network and passed between them that are implemented by specific neurons and their connections in circuits in the brain. The contrasting Hopfieldian view explains cognition as the result of transformations between or movement within representational spaces that are implemented by neural populations. Thus, the Hopfieldian view relegates details regarding the identity of and connections between specific neurons to the status of secondary explainers. Only the Hopfieldian approach has the representational and computational resources needed to develop novel neurofunctional objects that can serve as primary explainers of cognition.
认知可以被定义为大脑中对有意义的表示进行计算,以产生适应性行为。关于认知和大脑之间的关系,有两种观点在文献中基本上是隐含的。谢灵顿观点试图将认知解释为在网络节点上执行的信号操作的结果,这些信号在大脑中的电路中通过特定神经元及其连接在它们之间传递。相比之下,霍普菲尔德观点将认知解释为表示空间之间的转换或在表示空间内的运动的结果,这些表示空间是由神经群体实现的。因此,霍普菲尔德观点将特定神经元的身份和连接的细节降级为次要解释者的地位。只有霍普菲尔德方法具有表示和计算资源,才能开发新的神经功能对象,这些对象可以作为认知的主要解释者。