论文信息 - Real-time separation of multineuron recordings with a DSP32C signal processor

Real-time separation of multineuron recordings with a DSP32C signal processor

We have developed a hardware and software package for real-time discrimination of multiple-unit activities recorded simultaneously from multiple microelectrodes using a VME-Bus system. Compared with other systems cited in literature or commercially available, our system has the following advantages. (1) Each electrode is served by its own preprocessor (DSP32C); (2) On-line spike discrimination is performed independently for each electrode. (3) The VME-bus allows processing of data received from 16 electrodes. The digitized (62.5 kHz) spike form is itself used as the model spike; the algorithm allows for comparing and sorting complete wave forms in real time into 8 different models per electrode.

Rainer Gädicke | Klaus Albus

[1] Edward M. Schmidt,et al. Computer separation of multi-unit neuroelectric data: a review , 1984, Journal of Neuroscience Methods.

[2] M. Salganicoff,et al. Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation , 1988, Journal of Neuroscience Methods.

[3] A.F. Atiya,et al. Recognition of multiunit neural signals , 1992, IEEE Transactions on Biomedical Engineering.

[4] U. Sieben,et al. Real-Time Analysis of the Activity of Small Neuronal Networks Recorded with One Multi-Unit Electrode , 1987 .

[5] M. F. Sarna,et al. Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. II. Performance comparison to other sorters , 1988, Journal of Neuroscience Methods.

[6] D. Humphrey,et al. Extracellular Single-Unit Recording Methods , 1990 .

[7] Edward M. Schmidt,et al. Instruments for sorting neuroelectric data: a review , 1984, Journal of Neuroscience Methods.

[8] George L. Gerstein,et al. A low-cost single-board solution for real-time, unsupervised waveform classification of multineuron recordings , 1989, Journal of Neuroscience Methods.

[9] W. J. Daunicht,et al. An on-line spike form discriminator for extracellular recordings based on an analog correlation technique , 1986, Journal of Neuroscience Methods.