Complex-Exponential-Based Bio-Inspired Neuron Model Implementation in FPGA Using Xilinx System Generator and Vivado Design Suite
This research investigates the implementation of complex-exponential-based neurons in FPGA, which can pave the way for implementing bio-inspired spiking neural networks to compensate for the existing computational constraints in conventional artificial neural networks. The increasing use of extensiv...
Main Authors: | Maruf Ahmad, Lei Zhang, Kelvin Tsun Wai Ng, Muhammad E. H. Chowdhury |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/8/8/621 |
Similar Items
-
High-Level Annotation of Routing Congestion for Xilinx Vivado HLS Designs
by: Osama Bin Tariq, et al.
Published: (2021-01-01) -
FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification
by: Maruf Ahmad, et al.
Published: (2024-01-01) -
On-FPGA Spiking Neural Networks for End-to-End Neural Decoding
by: Gianluca Leone, et al.
Published: (2023-01-01) -
Enabling Efficient On-Edge Spiking Neural Network Acceleration with Highly Flexible FPGA Architectures
by: Samuel López-Asunción, et al.
Published: (2024-03-01) -
ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers
by: Alejandro Linares-Barranco, et al.
Published: (2020-11-01)