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High-Performance Computing Framework Based on Distributed Systems for Large-Scale Neurophysiological Data | ||
| Cognitive Science Research | ||
| مقاله 1، دوره 1، شماره 1، خرداد 2025، صفحه 1-12 اصل مقاله (1.26 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22059/jcsr.2025.101142 | ||
| نویسندگان | ||
| Mohsen Hadianpour1؛ Ehsan Rezayat2؛ Mohammad-Reza Abolghasemi Dehaqani* 3 | ||
| 1School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran | ||
| 2Department of Cognitive Sciences, Faculty of Psychology and Educational Sciences, University of Tehran, Tehran, Iran. | ||
| 3Cognitive Systems Laboratory, Control, and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran. | ||
| چکیده | ||
| Recent advancements in neurophysiological recording technologies have led to significant complexities in managing large-scale neural data, creating potential bottlenecks in the storage, sharing, and processing within the neuroscience community. To address these challenges, we developed the Big Neuronal Data Framework (BNDF), a distributed high-performance computing (HPC) solution. BNDF leverages open-source big data frameworks, Hadoop and Spark, to offer a flexible and scalable architecture. We tested BNDF on three large-scale electrophysiological datasets from nonhuman primate brains, demonstrating improved runtimes and scalability due to its distributed design. In comparative analyses against MATLAB, a widely used platform, BNDF showcased over five times faster performance in spike sorting, a common task in neuroscience. This significant speed advantage highlights BNDF’s potential to enhance the efficiency of neural data processing and analysis, making it a valuable tool for researchers navigating the complexities of modern neural datasets. Overall, BNDF represents a promising approach to streamline the handling of extensive neural data in the field of neuroscience. | ||
| کلیدواژهها | ||
| Large-scale neural data؛ High-performance computing,؛ Spike sorting,؛ Distributed computation؛ Cognitive Science | ||
| مراجع | ||
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