Neural Signal Processing

Hudson, Donna L.; Cohen, Madeline

doi:10.1007/0-306-48610-5_6

Cited by 2 publications

(1 citation statement)

References 66 publications

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“…Short-term history dependence within a spike train is analyzed with interspike interval histograms [37]. Long-term history dependence related to neural oscillations is often studied in the frequency domain using power spectra by transforming the spike train into a continuous-valued signal before computing its Fourier transform [22], [28]. Movement-related properties are determined from a tuning curve computed as the average spike rates across multiple trials in each movement direction [20], [21], [33].…”

Section: Introductionmentioning

confidence: 99%

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Sarma

Eden

Cheng

et al. 2010

IEEE Trans. Biomed. Eng.

110

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Placement of deep brain stimulating electrodes in the subthalamic nucleus (STN) to treat Parkinson’s disease (PD) also allows the recording of single neuron spiking activity. Analyses of these unique data offer an important opportunity to better understand the pathophysiology of PD. Despite the point process nature of PD neural spiking activity, point processmethods are rarely used to analyze these recordings. We develop a point process representation of PD neural spiking activity using a generalized linear model to describe long- and short-term temporal dependencies in the spiking activity of 28 STN neurons from seven PD patients and 35 neurons from one healthy primate (surrogate control) recorded, while the subjects executed a directed-hand movement task. We used the point process model to characterize each neuron’s bursting, oscillatory, and directional tuning properties during key periods in the task trial. Relative to the control neurons, the PD neurons showed increased bursting, increased 10–30 Hz oscillations, and increased fluctuations in directional tuning. These features, which traditional methods failed to capture accurately, were efficiently summarized in a single model in the point process analysis of each neuron. The point process framework suggests a useful approach for developing quantitative neural correlates that may be related directly to the movement and behavioral disorders characteristic of PD.

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Section: Introductionmentioning

confidence: 99%

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Sarma

Eden

Cheng

et al. 2010

IEEE Trans. Biomed. Eng.

110

View full text Add to dashboard Cite

show abstract

Distributed loss-amplification modeling for the mid-infrared signal propagating in the myelinated and demyelinated nerve

Zhang,

Wang,

Huang

et al. 2023

Appl. Opt.

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The terahertz (THz) to infrared (IR) neural signal model is a potential mechanism for explaining neural communication. Myelinated neurons could be a lossy dielectric waveguide that can propagate these THz–IR neural signals. We propose an electromagnetic loss-amplification model to describe the propagation characteristics of mid-IR signals on myelinated neurons. During transmission with loss and amplification, neural signal intensity can be consistently maintained at 15.9 pW in bands 55 to 75 THz. This phenomenon becomes more pronounced as the number of myelin sheaths increases. However, escalated degrees of demyelination result in a reduction of signal intensity from 15.9 to 10 pW. This phenomenon eventually disrupts the process of loss amplification, consequently impeding the transmission of the signal. These results may contribute to a deeper understanding of mid-IR signal propagation mechanisms in myelinated nerves and studies of diseases associated with demyelination.

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Neural Signal Processing

Cited by 2 publications

References 66 publications

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Distributed loss-amplification modeling for the mid-infrared signal propagating in the myelinated and demyelinated nerve

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