Title :
Nonlinear dynamic analyses of single hippocampal neurons before and after long-term potentiation
Author :
Lu, Ude ; Song, Dong ; Berger, Theodore W.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
Long-term potentiation (LTP) has long been considered an important phenomenon involved in learning and memory. However, the current literature lacks systematical analyses of single neuron dynamics before and after LTP induction. In this report, we applied an up to 3rd-order Volterra kernel to analyze the dynamics of single hippocampal neurons before and after LTP induction. Broadband Poisson random impulse trains with a 2 Hz mean frequency, which included physiologically plausible patterns, were applied to stimulate CA1 pyramidal neurons through Schaffer collateral before and after LTP induction. Corresponding somatic sub-threshold excitatory postsynaptic potentials (EPSPs) were recorded from CA1 neurons using whole-cell patch-clamp recording. The result suggests that LTP increases linear responses and depresses nonlinear responses. The phenomenon can be explained with both presynaptic and postsynaptic hypotheses. Further comparisons of voltage-clamp and current-clamp recordings are needed to distinguish the changes of dynamics in presynaptic and/or postsynaptic mechanisms.
Keywords :
Volterra series; bioelectric potentials; brain; neurophysiology; nonlinear dynamical systems; stochastic processes; CA1 pyramidal neurons; LTP induction; Schaffer collateral; broadband Poisson random impulse trains; long-term potentiation; nonlinear dynamic analysis; patch-clamp recording; single hippocampal neurons; single neuron dynamics; somatic sub-threshold excitatory postsynaptic potentials; third-order Volterra kernel; Biomedical engineering; Biomedical monitoring; Computational modeling; Electrodes; Kernel; Neurons; Nonlinear dynamical systems; Animals; Computer Simulation; Electrodes; Electrophysiology; Hippocampus; Long-Term Potentiation; Male; Models, Anatomic; Models, Statistical; Neurons; Patch-Clamp Techniques; Poisson Distribution; Rats; Rats, Sprague-Dawley; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626586