The Computational Neuroengineering Laboratory, Neurolab belonged to the Department of Chemical Engineering and Food Engineering of the Federal University of Santa Catarina, EQA / UFSC for approximately 20 years. During this period, the EQA / UFSC was the only Brazilian Chemical Engineering Department to own a laboratory aimed at the area of neuroscience. While being linked to the EQA / UFSC, in the Neurolab were developed 20 master's dissertations and 10 doctoral theses.

The lab main focus is the application of chemical engineering fundamentals in the understanding of brain processes. The laboratory focused mainly on studies of the visual system of mammals and in the modeling of brain cells such as neurons and astrocytes. The approach is based on mathematical modeling and computational simulation. The Lab has agreements with experimental laboratories, enabling the participation of its students in data collection in order to validate the mathematical models. For these activities, the laboratory has a technical-scientific staff highly qualified with a broad and well-equipped computing infrastructure.

Currently, Neurolab, no longer located at UFSC, continues its research work on the themes associated with neuroscience. A new developing theme is the acquisition of energy consumption data in order to control the operation of electrical appliances and schedule substitutions and maintenance services. In this theme Neurolab is associated with Startup Deep Environment Artificial Intelligence

Head of the Lab: Dr. Leonel Teixeira Pinto, Chemical Engineering, COPPE/UFRJ/Brazil and Northwestern University, USA, 1994

Scientist Contributor: Dr. Márlon Henrique dos Santos Teixeira, Philosophy and science of cognition, UFSC/Brazil and University of California , USA, 2015

1. Modeling and Simulation of tripartite glutamatergic synapses;
   
2. The kinetic of Hemoglobin and Oxygen reaction in blood capillary;
3. Mathematical Modeling of Calcium Waves in Systems of Astrocytes;
   
4. Development of Biologically Plausible Neuronal Network Models for Simulation of Neuron Systems. The network is used for the simulation of the Rhesus Monkey Primary Visual System from Retina until V1 output. . ;
5. Deep Power Monitor, Intelligent identification of consumption signatures of each apparatus only with the reading of total consumption
6. Benchmarking of energy-use intensity, Analysis and Comparison of energy consumption of different business in different regions