A distribution-free technique to estimate the order of markovian dependence using entropy

In most neural systems, neurons communicate via sequences of action potentials. Contemporary models assume that the action potentials' times of occurrence rather than their waveforms convey information. The mathematical tool for describing sequences of events occurring in time and/or space is the theory of point processes. Using this theory, we show that neural discharge patterns convey time-varying information intermingled with the neuron's response characteristics. We review the basic techniques for analyzing single-neuron discharge patterns and describe what they reveal about the underlying point process model. By applying information theory and estimation theory to point processes, we describe the fundamental limits on how well information can be represented by and extracted from neural discharges. We illustrate applying these results by considering recordings from the lower auditory pathway.

show abstract

Point process models of single-neuron discharges

Johnson

1996

J Comput Neurosci

Self Cite

210

137

View full text Add to dashboard Cite

show abstract

Generation and analysis of non-Gaussian Markov time series

Rao

Johnson

Becker

1992

IEEE Trans. Signal Process.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A distribution-free technique to estimate the order of markovian dependence using entropy

Cited by 2 publications

References 16 publications

Point process models of single-neuron discharges

Point process models of single-neuron discharges

Generation and analysis of non-Gaussian Markov time series

Contact Info

Product

Resources

About