Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine
| Autor: | Shuvra S. Bhattacharyya, Rong Chen, Da-Ting Lin, Yaesop Lee, Kyunghun Lee |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Pattern recognition 02 engineering and technology Medium spiny neuron Support vector machine 03 medical and health sciences Neural activity Kernel (linear algebra) 020901 industrial engineering & automation 0302 clinical medicine Calcium imaging Systems design Artificial intelligence business 030217 neurology & neurosurgery Decoding methods Neural decoding |
| Zdroj: | BioCAS |
| DOI: | 10.1109/biocas.2019.8919061 |
| Popis: | We present a novel real-time neural decoding system for calcium imaging data. Miniature calcium imaging is of great utility for examining neural activity in populations of animals. Our real-time neural decoding system is developed using a carefully-designed support vector machine (SVM) subsystem together with dataflow-based techniques for system design, which capture the high-level structure of the application and enable powerful system-level analysis and optimization. Through extensive experiments, we have evaluated the proposed system using calcium imaging datasets in which neural activities of D1 medium spiny neurons (MSNs) in the dorsal striatum were recorded. The results show that the performance of the proposed system is significantly better than that of previously developed neural decoding systems for calcium imaging. |
| Databáze: | OpenAIRE |
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