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FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes)
Research article (2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018) · cited 25× · AI/ML
FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes)
Summary
FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes) is a scholarly article[1].
Key Facts
FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes)'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes). Retrieved May 24, 2026, from https://4ort.xyz/entity/fpga-implementation-of-deep-learning-recurrent-neural-networks-with-sub-millisecond-real-time-latency-for-bci-decoding-o
MLA“FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fpga-implementation-of-deep-learning-recurrent-neural-networks-with-sub-millisecond-real-time-latency-for-bci-decoding-o.
BibTeX@misc{4ortxyz_fpga-implementation-of-deep-learning-recurrent-neural-networks-with-sub-millisecond-real-time-latency-for-bci-decoding-o_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes)}}, year = {2026}, url = {https://4ort.xyz/entity/fpga-implementation-of-deep-learning-recurrent-neural-networks-with-sub-millisecond-real-time-latency-for-bci-decoding-o}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes) — https://4ort.xyz/entity/fpga-implementation-of-deep-learning-recurrent-neural-networks-with-sub-millisecond-real-time-latency-for-bci-decoding-o (retrieved 2026-05-24)
