文献笔记Delving into Temporal-Spectral Connections in Spike-LFP ...

《Delving into Temporal-Spectral Connections in Spike-LFP Decodingby Transformer Networks》

Delving into Temporal-Spectral Connections in Spike-LFP Decodingby Transformer Networks

• 1 Introduction
• 2 Methods
  • Temporal Connection Learning with Spikes
  • Spectral Connection Learning with LFPs
  • Temporal-Spectral Connection Learning with Spike-LFPs
  • Task-Related Output Layer
• 3 Experiments and Results
  • Clinical Dataset
    • Neural Signal Acquisition
    • Neural Signal Processing.
  • Spike-LFP Fusion Improves Neural Decoding Accuracy
    • Effectiveness of Spikes-LFP Fusion
    • Comparison of Different Neural Decoders.
  • Temporal Connections Improve Robustness to Temporal Shifts
    • Attention Adaptation to Temporal Shifts.
    • Performance with Temporal Shifts.
  • Temporal-Spectral Connections Improve Robustness to Noises
    • Robustness Against Signal Loss.
• 4 Conclusion