An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings

A new method is presented for extracting the amplitude of excitatory post synaptic potentials (EPSPs) and spikes in real time. It includes a low pass filter (LPF), a differentiator, a threshold function, and an intelligent integrator. It was applied to EPSP and population spike data recorded in the...

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Bibliographic Details
Published in:Journal of neuroscience methods 2004-07, Vol.136 (2), p.111-121
Main Authors: Gholmieh, Ghassan, Courellis, Spiros, Dimoka, Angelika, Wills, Jack D., LaCoss, Jeff, Granacki, John J., Marmarelis, Vasilis, Berger, Theodore
Format: Article
Language:English
Subjects:
Action Potentials - physiology
Algorithms
Animals
CA1
Dentate Gyrus
Electrophysiology - instrumentation
Electrophysiology - methods
EPSP
Excitatory Postsynaptic Potentials - physiology
Hippocampus - physiology
In Vitro Techniques
Models, Neurological
Neural Pathways - physiology
Neurons - physiology
Neurophysiology - instrumentation
Neurophysiology - methods
Nonlinear analysis
Poisson Distribution
Random train
Rats
Reaction Time - physiology
Reproducibility of Results
Short-term plasticity
Signal Processing, Computer-Assisted
SoC
Spike amplitude
Synaptic Transmission - physiology
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Summary:A new method is presented for extracting the amplitude of excitatory post synaptic potentials (EPSPs) and spikes in real time. It includes a low pass filter (LPF), a differentiator, a threshold function, and an intelligent integrator. It was applied to EPSP and population spike data recorded in the Dentate Gyrus and the CA1 hippocampus in vitro. The accuracy of the extraction algorithm was evaluated via the extraction normalized mean square error (eNMSE) and was found to be very high (eNMSE
ISSN:0165-0270
1872-678X
DOI:10.1016/j.jneumeth.2004.01.006