Introdução à neurociência computacional com a linguagem python

Abstract

This work presents a proposal for an introductory course on computational neuroscience, using the Python programming language. The brain is a complex organ, and there is significant interest in understanding the biological mechanisms underlying its functioning. Computational neuroscience is one of the fields of study that seeks to contribute to this understanding. The introductory course is aimed at undergraduate students interested in acquiring basic knowledge in Computational Neuroscience. The course initially provides a theoretical foundation in both neurophysiology and mathematics, as well as algorithmic concepts, to enable students from diverse backgrounds to benefit from its content with minimal prerequisites. The course then introduces models of neurons, ranging from simple to more elaborate ones, and explores how these neurons connect with each other, including some well-known neural connection circuits and how learning is implemented in these neuron networks. It also includes content on artificial intelligence, such as neural and neuromorphic networks, the latter using the models mentioned initially. The course utilizes interactive Python code, which is free and open-source, for simulating the presented content.