Skip to main content
Computer Science
CS
Computer Science
Study
Prospective Students
Current Students
Research
Research Areas
Research Groups
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Administrative Staff
Alumni
Students
News
Events
About
CEMSE Division
Apply
Izhikevich spiking neuron model
An approximate multiplier based hardware implementation of the izhikevich model
1 min read ·
Thu, Apr 26 2018
News
Circuits
Izhikevich spiking neuron model
Hassan, Salma, et al., "An approximate multiplier based hardware implementation of the izhikevich model." IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2018, 492. This paper proposes the use of approximate multipliers in the hardware implementation of Izhikevich spiking neuron model. The accuracy of the model is investigated by calculating various types of errors on a single neuron and this analysis shows that the proposed model follows the original model. It shows that the proposed model reproduces the same firing patterns as the original one. The network