Transmission of Information in Active Channels
Shannon's Capacity Theorem is the main concept behind the Theory of Communication. It says that if the amount of information contained in a message, to be transmitted through a physical channel of communication, is
smaller than the channel capacity, the message can be transmitted with a low probability of errors. This theorem is usually applicable to ideal channels of communication in which the information to be transmitted does not alter the
passive characteristics of the channel that basically tries to reproduce the source of information. Here, we show that for active (non-ideal) channels of communication, such as a complex network formed by elements that are dynamical systems (such as neurons, chaotic or periodic oscillators), the information signal entering the network might generate the ideal environment for its transmission by altering the information capacity of the channel. We also show in which conditions synchronization, in an active channel, implies more information transmission. Contrary to the current belief, we show that synchronization does not necessarily imply more information transmission.