Abstract
A unified model for the simulation of artificial and biologyoriented neural networks is presented. It supports all rate-coded and also many pulse-coded neural network models. The focus of the paper is on the special requirements for the simulation of neural networks built from neurons modelled by a single compartment. The derived unified neural network model represents a basis for the design of a universal neurosimulator. Several extensions of the neural specification language EpsiloNN to incorporate the new model are explained.
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 callDisclaimer: 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.
