Estudo do comportamento de modelo de circuito de memória imediata

Abstract

Mathematical and computational modeling have been widely used in Biology and Biomedical sciences. A significant amount of experimental data in this area can be found in literature, enabling the development of models that combine experimentation and theoretical assumptions. The goal of this project is to implement a mathematical model of synaptic transmission connecting neurons in a circuit of repetitive discharges or reverberative in order to investigate their behavior in front of parametric variations. Through computer simulations, using a program developed in the C++ language, we intend simulate a short term memory circuit. Aside from the considerable advances in Neurophysiology and Computational Neuroscience towards understanding physiological and behavioral skills of the Central Neurons System, many neural mechanisms remain completely obscure. The mechanism that the brain acquires, stores and recalls information is still unknown. However, Hebb's postulate on reverberant networks, where the idea that networks reverb facilitate data connection between sensory information coincident, temporally divergent, was accepted to explain the formation of short-term memory (Johnson et al., 2009). Thus, based on Hebb's postulate, the results observed in the neuromathematical-computational model adopted has characteristics of a circuit short-term memory.