Related Experiment Video
Updated: Aug 8, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
Published on: June 24, 2015
Basic principles of synaptic physiology illustrated by a computer model
1Department of Medical Physiology, Texas A&M University System Health Science Center, College Station, Texas 77843, USA.
Abstract:
A computer model is described that simulates many basic aspects of chemical synapse physiology. The model consists of two displays, the first being a pictorial diagram of the anatomical connections between two presynaptic neurons and one postsynaptic neuron. Either or both of the presynaptic cells can be stimulated from a control panel with variable control of the number of pulses and firing rate; the resulting presynaptic action potentials are animated. The second display plots the membrane potential of the postsynaptic cell versus time following presynaptic stimulation. The model accurately simulates temporal and spatial summation when the presynaptic cells are arranged and stimulated in parallel and simulates presynaptic inhibition when they are arranged and stimulated in series. Excitatory and inhibitory postsynaptic potentials can be demonstrated by altering the nature of the ionic conductance change occurring on the postsynaptic cell. The effects on summation of changing length constant or time constant of the postsynaptic cell can also be illustrated. The model is useful for teaching these concepts to medical, graduate, or undergraduate students and can also be used as a self-directed computer laboratory exercise. It is available for free download from the internet.
Related Concept Videos
Synaptic Signaling
The Synapse
Synaptic Signaling
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Overview of Synapses
Integration of Synaptic Events
Neuronal Communication

