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- W2155436398 abstract "Shannon’s information theory[1] is a mathematical theory of communication. It deals with the fundamental aspects of transmission of messages from place to place in the communication channels. The process itself serves the goal of making or assisting decision-makings at the receiving ends. An intelligent decision relies on how accurate, how relevant and how efficient the pieces of information are transmitted and received. One may view a natural or synthetic neural network system as an ensemble of distributed decision-making units resiting in different functional blocks linked through a massive network of communication channels operated distributively and in parallel. The immediate questions are (1) how to approach the study of a given neural network within the information-theoretic framework[2], (2) how to construct the optimal communication channels in a neural network setting and (3) how to evaluate different neural networks in terms of their informationtheoretic properties. We have no ideas to answer the last two questions. We have some concrete results to answer the first question in terms of a simple synthetic neural net that captures many functionalities of the early visual information processing in retina[3],[4]. The self-emerging properties of the network are derived analytically. With 2-D spatiotemporal inputs, it is found that (1) there is an emergence of statistically independent operation modes for feature detection, (2) there is an emergence of lower memory for motion detection of the temporal change of the input signals and the direction of motion and (3) the role of symmetry-breaking of parity conservation and time-reversal invariance in spatiotemporal feature detection is explained. The presentation is organized as follows. Information theory is first introduced. This is followed by the definitions of a simple feed-forward neural net model. The information-theoretic analyses of this model and its extension to image reconstruction are then presented. We conclude our discussion with a summary." @default.
- W2155436398 created "2016-06-24" @default.
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- W2155436398 date "1991-01-01" @default.
- W2155436398 modified "2023-09-27" @default.
- W2155436398 title "Information Theory and Early Visual Information Processing" @default.
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- W2155436398 doi "https://doi.org/10.1007/978-1-4615-3778-6_8" @default.
- W2155436398 hasPublicationYear "1991" @default.
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