Minimum requirements for accurate and efficient real-time on-chip spike sorting
نویسندگان
چکیده
منابع مشابه
Minimum requirements for accurate and efficient real-time on-chip spike sorting.
BACKGROUND Extracellular recordings are performed by inserting electrodes in the brain, relaying the signals to external power-demanding devices, where spikes are detected and sorted in order to identify the firing activity of different putative neurons. A main caveat of these recordings is the necessity of wires passing through the scalp and skin in order to connect intracortical electrodes to...
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This work presents a novel unsupervised algorithm for real-time adaptive clustering of neural spike data (spike sorting). The proposed Hierarchical Adaptive Means (HAM) clustering method combines centroid-based clustering with hierarchical cluster connectivity to classify incoming spikes using groups of clusters. It is described how the proposed method can adaptively track the incoming spike da...
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In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using resistive random access memory (RRAM) technology for the implementation of synapses whose low latency (<1μs) enables real-time spike sorting. This offers promising advantages to conv...
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Spike sorting is an important processing step in various neuroscientific and clinical studies. An on-chip spikesorting DSP must provide data-rate reduction while maintaining a power density much less than 800 μW/mm. Most existing designs either provide only spike detection for multi-channel processing, or they provide detection and feature extraction only for a single channel. We demonstrate a ...
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ژورنال
عنوان ژورنال: Journal of Neuroscience Methods
سال: 2014
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2014.04.018