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07:33
Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
Published on: June 29, 2018
Information transmission in oscillatory neural activity.
Kilian Koepsell1, Friedrich T Sommer
1Redwood Center for Theoretical Neuroscience, Helen Wills Neuroscience Institute, University of California at Berkeley, Berkeley, CA 94720, USA. kilian@berkeley.edu
Biological Cybernetics
|November 6, 2008
Summary
This study introduces novel tools to analyze periodic neural activity, even when it lacks clear stimulus or motor timing. These methods quantify information transmission from quasi-randomly phased oscillations, improving our understanding of neural coding.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Information Theory
Background:
- Periodic neural activity often ignored if not stimulus-locked.
- Understanding neural coding requires analyzing all neural signal components.
- Oscillatory spike trains exhibit specific statistical properties.
Purpose of the Study:
- Develop tools for modeling and quantifying information in periodic neural activity.
- Analyze neural information transmission from quasi-randomly phased oscillations.
- Characterize oscillatory spike trains and their phase locking.
Main Methods:
- Proposed an inhomogeneous Gamma process model for oscillatory spike trains.
- Incorporated a quasi-periodic function into the rate density.
- Generalized the direct method for information content assessment.
- Applied tools to cat lateral geniculate nucleus relay cell recordings.
Main Results:
- Successfully modeled characteristic features of oscillatory spike trains.
- Quantified information transmission from phase-varying neural oscillations.
- Demonstrated the utility of the new modeling and analysis tools.
- Provided insights into neural signaling in the lateral geniculate nucleus.
Conclusions:
- New tools enable analysis of previously overlooked periodic neural activity.
- Information can be transmitted via neural oscillations with quasi-random phase.
- The proposed methods advance the study of neural coding and information processing.
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