Correlation entropy of synaptic input-output dynamics
Abstract
The responses of synapses in the neocortex show highly stochastic and nonlinear behavior. The microscopic dynamics underlying this behavior, and its computational consequences during natural patterns of synaptic input, are not explained by conventional macroscopic models of deterministic ensemble mean dynamics. Here, we introduce the correlation entropy of the synaptic input-output map as a measure of synaptic reliability which explicitly includes the microscopic dynamics. Applying this to experimental data, we find that cortical synapses show a low-dimensional chaos driven by the natural input pattern.
- Publication:
-
Physical Review E
- Pub Date:
- October 2006
- DOI:
- 10.1103/PhysRevE.74.041909
- arXiv:
- arXiv:q-bio/0610019
- Bibcode:
- 2006PhRvE..74d1909K
- Keywords:
-
- 87.19.La;
- 05.45.Tp;
- 87.80.Jg;
- Neuroscience;
- Time series analysis;
- Patch clamping;
- Quantitative Biology - Neurons and Cognition
- E-Print:
- 7 pages, 6 Figures (7 figure files)