Real-time separation of multineuron recordings with a DSP32C signal processor.
نویسندگان
چکیده
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.
منابع مشابه
Performance of real time separation of multi-neuron recordings with a DSP32C microprocessor.
The performance of a method for sorting of waveforms in multi-neuron data (Gädicke and Albus, 1995) is evaluated by using artificial spike patterns generated by the computer and by adding to these spikes noise or free running sine waves of varying frequency and amplitude to simulate EEG-waves. The DSP32C is capable of continuously processing spikes at 183.106 Hz. In addition to real-time sortin...
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ورودعنوان ژورنال:
- Journal of neuroscience methods
دوره 57 2 شماره
صفحات -
تاریخ انتشار 1995