Title |
Matematinis impulso sklidimo modeliavimas tarp neuronų, sujungtų mišriomis sinapsėmis / |
Translation of Title |
Mathematical modelling of signal transduction in neurons, connected by mixed synapses. |
Authors |
Briliūtė, Greta |
Full Text |
|
Pages |
69 |
Keywords [eng] |
Hodgkin-Huxley model ; action potential ; mixed synapses ; signal transduction |
Abstract [eng] |
Neurons are specialised cells that can generate and transmit rapid electrical signals. The normal function of any sentient organism requires for an efficient communication between neurons, and a synapse is a structure which enables such a communication. There are two distinct types of synapses – chemical and electrical – which exhibit different modes of communication and structural properties. The research has shown that chemical and electrical synapses can coexist close to each other in formations, which are referred to as mixed synapses. Thus far, the prevalence, function and electrophysiological properties of mixed synapses are not yet sufficiently investigated, and the research on this topic is currently in progress. In this study, we present mathematical and numerical modelling results which can provide some insights about the prevalence and properties of mixed synapses. |
Dissertation Institution |
Kauno technologijos universitetas. |
Type |
Master thesis |
Language |
Lithuanian |
Publication date |
2019 |