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The temporality of consciousness: Computational principles of a single information integration-propagation process (I2P2)

机译:意识的时间性:单个信息集成-传播过程(I 2 P 2 )的计算原理

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Time plays a central role in consciousness. A crucial question is the following: Why Consciousness takes time? We suggest the contents of consciousness could emerge as the result of global competition biased by top-down (intentional) modulation, which implements global constraint satisfaction. In our simplified conceptual framework, the information integration and the consciousness are not implemented by separate processes but are unified through the idea that a network arrives at an interpretation of the input by converging towards a dynamical state, i.e. a recurring pattern related to the existence of a stable travelling wave. The synfire propagation can be recasted in this framework as a particular instance of conscious computation where (i) the network has a specialized topology (a chain of connected pools) and (ii) the sequence of spikes converge towards a synchronous spike volley. The framework we suggest has interesting connections with the neural processing proposed by Hopfield (1982) where the computation is achieved through the convergence of the dynamical system describing the neural network towards a fixed point. Here the attractors are correlated activities (or spatiotemporal periodic travelling waves) and the idea of associative memory can be generalized in this context.
机译:时间在意识中起着核心作用。一个关键的问题如下:为什么意识需要时间?我们认为,意识的内容可能是由自上而下的(有意的)调制偏见的全球竞争的结果,这种调制实现了全局约束的满足。在我们简化的概念框架中,信息集成和意识不是通过单独的过程来实现的,而是通过网络趋向动态状态(即与存在的行为相关的重复模式)对输入进行解释的思想而统一的稳定的行波。 synfire传播可以在此框架中作为有意识计算的特定实例进行重铸,其中(i)网络具有专门的拓扑结构(一连串连接的池),并且(ii)尖峰序列朝着同步尖峰齐射收敛。我们建议的框架与Hopfield(1982)提出的神经处理有着有趣的联系,其中计算是通过将描述神经网络的动力学系统收敛到固定点来实现的。在这里,吸引子是相关的活动(或时空周期性行波),在这种情况下可以概括联想记忆的概念。

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