Markov dependency based on Shannon's entropy and its application to neural spike trains.
Hiroshi NakahamaMitsuaki YamamotoKojiro AyaKeisetsu ShimaHisashi FujiiPublished in: IEEE Trans. Syst. Man Cybern. (1983)
Keyphrases
- spike trains
- information theory
- shannon entropy
- single neuron
- information theoretic
- spiking neurons
- computational neuroscience
- markov chain
- mutual information
- information content
- visual information processing
- neural network
- conditional independence
- retinal ganglion
- shape analysis
- information processing
- image features
- artificial neural networks
- computer vision