Instruments for sorting neuroelectric data: a review

Schmidt, Edward M.

doi:10.1016/0165-0270(84)90042-6

Cited by 52 publications

(3 citation statements)

References 54 publications

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“…Multi-unit recording is an important method for studying the function of neurons. Conventional techniques often require time-consuming manual intervention [1]. When computers become available to neurophysiologists, various algorithms and systems are developed for online detection and spike separation [2][3].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Pc-Based Data Acquisition System for Long-Term Recording of Action Potentials With Minimal Dedicated Circuits

Jang

Kuo

et al. 2005

Biomed. Eng. Appl. Basis Commun.

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Owing to the improvement of computing power, computer-aided multi-unit acquisition and separation rapidly proliferated during the last two decades. To utilize this technology is, however, not easy since task-specific designs are usually mandatory. To overcome this obstacle, a commercial data acquisition system was used to evaluate whether it is possible to accomplish the task of multi-unit acquisition without the aid of these devices. As the results shown that the technique of spike-trigger acquisition can provide the capability to reduce the data amount to 2% while compared with that sampled by continuous acquisition. However, the interval between two consecutive spikes cannot be shorter than 5 ms. This suggests that special designed devices are still necessary.

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Section: Introductionmentioning

confidence: 99%

Evaluation of a Pc-Based Data Acquisition System for Long-Term Recording of Action Potentials With Minimal Dedicated Circuits

Jang

Kuo

et al. 2005

Biomed. Eng. Appl. Basis Commun.

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“…All spikes were sorted depending on their amplitude and duration at the half amplitude (Schmidt, 1984) using additional software (Spike Histogram Extension for Chart v.4.2; ADInstruments). All spikes sorted automatically were manually re-sorted using our homemade software depending on their form.…”

Section: Data Processingmentioning

confidence: 99%

Behavioral context-dependent modulation of descending statocyst pathways during free walking, as revealed by optical telemetry in crayfish

Hama

Tsuchida

Takahata

2007

Journal of Experimental Biology

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SUMMARY Crustacean posture control is based on a complex interaction between the statocyst input and other sensory inputs as well as the animal's behavioral context. We examined the effects of behavioral condition on the activity of descending statocyst pathways using an optical telemetry system that allowed underwater recording of neuronal signals from freely behaving crayfish. A functionally identified statocyst-driven interneuron that directionally responded to body tilting without a footboard and to tilting of the footboard was found to show complicated responses depending upon the ongoing behavior of the animal when it freely walked around in water on the aquarium floor. The spike firing frequency of the interneuron increased significantly during walking. When the animal stood or walked on the tilted floor, the interneuron activity represented the tilt angle and direction if the abdomen was actively flexed, but not if it was extended. Two other statocyst-driven descending interneurons were found to be affected differently by the animal's behavioral condition: the spike activity of one interneuron increased during walking, but its directional response on the tilted floor was completely absent during abdominal posture movements, whereas that of another interneuron was enhanced during abdominal extension only, representing the tilt angle and direction. The results obtained in this study provide the first experimental demonstration that crustacean postural control under natural conditions is dependent on very fine aspects of the animal's locomotor behavioral context,suggesting far more complex control mechanisms than those expected from the experimental data obtained in isolated and fixed animals.

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“…During the past several years, a large number of spikediscrimination methods have been developed, including single and multi channel template matching, principle A Component analysis, amplitude separation, Fourier analysis, linear filtering autoregressive modeling, neural networks, and maximum likelihood approaches. Some of these methods have been reviewed by Schmidt [2,3]. Most of the existing methods perform very well when the problem of overlapped spikes is not considered.…”

Section: Introductionmentioning

confidence: 99%

EEG features extraction using neuro-fuzzy systems and shift-invariant wavelet transforms for epileptic seizures diagnosing

Akhbardeh

Farrokhi

Tehrani³

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Electro-encephalogram Spikes Classification and latency computing is one of the important tools in epilepsy diagnosing. However, overlapped spikes cause complexity in problem solving. We use neuro-fuzzy systems and shift-invariant wavelet transforms to solve this problem. It has been shown that our suggested procedures have high-resolution and are able to classify and perform latency computing of overlapped spikes.

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Instruments for sorting neuroelectric data: a review

Cited by 52 publications

References 54 publications

Evaluation of a Pc-Based Data Acquisition System for Long-Term Recording of Action Potentials With Minimal Dedicated Circuits

Evaluation of a Pc-Based Data Acquisition System for Long-Term Recording of Action Potentials With Minimal Dedicated Circuits

Behavioral context-dependent modulation of descending statocyst pathways during free walking, as revealed by optical telemetry in crayfish

EEG features extraction using neuro-fuzzy systems and shift-invariant wavelet transforms for epileptic seizures diagnosing

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