Enabling Model-Based Design for Real-Time Spike Detection
<italic>Goal</italic>: This study addresses the inherent difficulties in the creation of neuroengineering devices for real-time neural signal processing, a task typically characterized by intricate and technically demanding processes. Beneath the substantial hardware advancements in neur...
Saved in:
| Main Authors: | Mattia Di Florio, Yannick Bornat, Marta Care, Vinicius Rosa Cota, Stefano Buccelli, Michela Chiappalone |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10870096/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Co-decode algorithm of network coding with hardware logic
by: Hui LI, et al.
Published: (2012-07-01) -
Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
by: Ali Mehrabi, et al.
Published: (2024-01-01) -
A Tile-Based Multi-Core Hardware Architecture for Lossless Image Compression and Decompression
by: Xufeng Li, et al.
Published: (2025-05-01) -
An Accelerated FPGA-Based Parallel CNN-LSTM Computing Device
by: Xin Zhou, et al.
Published: (2024-01-01) -
Use of Carry Chain Logic and Design System Extensions to Construct Significantly Faster and Larger Single-Stage N-Sorters and N-Filters
by: Robert B. Kent, et al.
Published: (2022-01-01)