FPGA Implementation of a Biological Neural Network Based on the Hodgkin-Huxley Neuron Model
A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics...
Main Authors: | Safa eYaghini Bonabi, Hassan eAsgharian, Saeed eSafari, Majid eNili Ahmadabadi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2014-11-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00379/full |
Similar Items
-
Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA
by: Romain Beaubois, et al.
Published: (2024-11-01) -
A Scalable FPGA Architecture for Randomly Connected Networks of Hodgkin-Huxley Neurons
by: Kaveh Akbarzadeh-Sherbaf, et al.
Published: (2018-10-01) -
flexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations
by: Rene Miedema, et al.
Published: (2020-01-01) -
Theoretical analysis of transcranial magneto-acoustical stimulation with Hodgkin–Huxley neuron model
by: Yi eYuan, et al.
Published: (2016-04-01) -
Unidirectional Synchronization of Hodgkin-Huxley Neurons With Prescribed Performance Under Transcranial Magneto-Acoustical Simulation
by: Dan Liu, et al.
Published: (2019-10-01)