Neural Network Architectures for Modeling Synaptic

Interactions in Olfactory Bulb System

Student: Rami Habas

Project Goals

The aim of this project is to bring together the available physiological and mathematical knowledge, in order to study the type of processing in the olfactory bulb without compromising facts of the bulb’s anatomy. Based on recent evi­dence, the neurotransmitters play an important role in the excitatory/inhibitory connections, which invariably shape the information transmitting and processing.

Our goal is to simulate and investigate the parameter space, which includes the cell potentials as well as the chemical transmitters in the bulb.

Project Outcomes

v    Design of a neural network architecture based on pulse coupled neurons suitable for modeling synaptic pathways for inhibition and exhibition in the olfactory bulb system.

v    Simulation of odor signals used as external inputs to the system.

v    Design of experiments by choosing different set of parameters and analysis of data.