title: Teaching and learning the Hodgkin-Huxley model based on software developed in NEURON's programming language hoc.
abstract: BACKGROUND
  We present a software tool called SENB, which allows the geometric and biophysical neuronal properties in a simple computational model of a Hodgkin-Huxley (HH) axon to be changed. The aim of this work is to develop a didactic and easy-to-use computational tool in the NEURON simulation environment, which allows graphical visualization of both the passive and active conduction parameters and the geometric characteristics of a cylindrical axon with HH properties.
  
  
  RESULTS
  The SENB software offers several advantages for teaching and learning electrophysiology. First, SENB offers ease and flexibility in determining the number of stimuli. Second, SENB allows immediate and simultaneous visualization, in the same window and time frame, of the evolution of the electrophysiological variables. Third, SENB calculates parameters such as time and space constants, stimuli frequency, cellular area and volume, sodium and potassium equilibrium potentials, and propagation velocity of the action potentials. Furthermore, it allows the user to see all this information immediately in the main window. Finally, with just one click SENB can save an image of the main window as evidence.
  
  
  CONCLUSIONS
  The SENB software is didactic and versatile, and can be used to improve and facilitate the teaching and learning of the underlying mechanisms in the electrical activity of an axon using the biophysical properties of the squid giant axon.
authors.affiliation: Departamento de Química y Biología, Universidad del Norte, Barranquilla, Atlántico, Colombia. ohernandezb@uninorte.edu.co
authors.forename: Oscar E
authors.initials: OE
authors.lastname: Hernández
authors.forename: Eduardo E
authors.initials: EE
authors.lastname: Zurek
mesh_terms: D000200:Action Potentials / Q000502:physiology; D003198:Computer Simulation; D004594:Electrophysiology / Q000193:education; D006801:Humans; D008959:Models, Neurological; D009462:Neurology / Q000193:education*; D009474:Neurons / Q000502:physiology; D011381:Programming Languages; D012984:Software; D013663:Teaching / Q000379:methods*