1 citations · 1 across the 5 of their papers we have counts for
5 papers · 1 filter
DBNN: Neural Spike Classification Using a Deep Binarized Neural Network
Binyi Ren, Luca M. Meyer, Majid Zamani
Implantable brain-computer interfaces require on-node spike sorting to reduce telemetry bandwidth and power while maintaining reliable neural decoding. This paper presents a hardwa…
MetaSort: An Accelerated Approach for Non-uniform Compression and Few-shot Classification of Neural Spike Waveforms
Luca M. Meyer, Majid Zamani
Many previous works in spike sorting study spike classification and compression independently. In this paper, a novel algorithm is proposed called MetaSort to address these two pro…
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection
Xiaoyu Jiang, Tao Fang, Majid Zamani
Spike sorting is a valuable tool in understanding brain regions. It assigns detected spike waveforms to their origins, helping to research the mechanism of the human brain and the…
A Meta-Fusion Architecture for Few-Shot Classification of Spike Waveforms in High-Bandwidth Brain-Machine Interfacing
Tao Fang, Majid Zamani
There is a need for fast adaptation in spike sorting algorithms to implement brain-machine interface (BMIs) in different applications. Learning and adapting the functionality of th…
Efficient Approximation of Action Potentials with High-Order Shape Preservation in Unsupervised Spike Sorting
Majid Zamani, Christian Okreghe, Andreas Demosthenous
This paper presents a novel approximation unit added to the conventional spike processing chain which provides an appreciable reduction of complexity of the high-hardware cost feat…