Hadianpour, Mohsen, Rezayat, Ehsan, Dehaqani, Mohammad-Reza. (1403). High-Performance Computing Framework Based on Distributed Systems for Large-Scale Neurophysiological Data. , 1(1), 1-12. doi: 10.22059/jcsr.2025.101142
Mohsen Hadianpour; Ehsan Rezayat; Mohammad-Reza Abolghasemi Dehaqani. "High-Performance Computing Framework Based on Distributed Systems for Large-Scale Neurophysiological Data". , 1, 1, 1403, 1-12. doi: 10.22059/jcsr.2025.101142
Hadianpour, Mohsen, Rezayat, Ehsan, Dehaqani, Mohammad-Reza. (1403). 'High-Performance Computing Framework Based on Distributed Systems for Large-Scale Neurophysiological Data', , 1(1), pp. 1-12. doi: 10.22059/jcsr.2025.101142
Hadianpour, Mohsen, Rezayat, Ehsan, Dehaqani, Mohammad-Reza. High-Performance Computing Framework Based on Distributed Systems for Large-Scale Neurophysiological Data. , 1403; 1(1): 1-12. doi: 10.22059/jcsr.2025.101142

High-Performance Computing Framework Based on Distributed Systems for Large-Scale Neurophysiological Data

Cognitive Science Research
مقاله 1، دوره 1، شماره 1، بهار 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
آمار
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