Abstract
The efficient modeling, simulation, and implementation of biological neural networks are key objectives of the neuromorphic research field, leading to potential applications, such as assisting the search for new solutions to cure brain diseases, improved performance of robots, and the fundamental study of neural network behavior. This brief proposes a modified biological Hindmarsh-Rose (HR) neuron model that is more suited for efficient implementation on digital platforms. Simulation results show that the model can reproduce the desired behaviors of the neuron. The proposed model is investigated, in terms of digital implementation feasibility and cost, targeting a low-cost hardware implementation. Hardware implementation on a field-programmable gate array shows that the modified model mimics the biological behavior of different types of neurons, with higher performance and considerably lower hardware overhead cost compared with the original HR model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Circuits and Systems II: Express Briefs
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
