Latin-American Workshop on Computational Neuroscience
November 22-24, 2017


Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese or Spanish. According to the model.

diagrama submissões

The Program Committee will select the three best oral presentations (one for each main topic of the event) during the workshop. One of the authors of these papers will be entitled to a prize that will consist of amounts up to USD 300 for registration in scientific events in areas related to the Workshop and which occur in 2018, as well as free registration for the next edition of LAWCN. These awards will depend on the amount obtained by the registrations.


Important Dates



These topics of interest include (but are not limited to) Neuroscience, Neuroengineering and Artificial Intelligence and its related techniques.


  • Sensory processing
  • Network dynamics
  • Reinforcement learning
  • Motivation and decision making
  • Statistical approaches in neuroscience
  • Systems Neuroscience
  • Learning and memory
  • Attention and arousal
  • Sensory-motor integration
  • Learning in networks
  • Educational Issues


  • Large-scale recordings
  • Neural signal processing
  • Neuromodulation
  • Neuroprosthetics
  • Robotics
  • Humanoid robots
  • Robots in Health
  • Robots for Elderly People
  • Sensoring in Robotics
  • Fusion of Sensors
  • Hardware implementations in Neuroscience
  • Software implementations in Neuroscience
  • Brain Computer Interfaces: design and applications
  • Educational Issues

Artificial Intelligence and related techniques

  • Artificial Intelligence
  • Techniques in Neuroscience
  • Bioinformatics
  • Clustering and Applications
  • Computer Vision, Cognitive and Humanoid Vision
  • Databases, Data Mining, Intelligent Data Analysis, Knowledge-based Systems and Linguistic Tools
  • Data Visualization and Applications
  • Deep Learning
  • Statistical Pattern Recognition/Document Processing and Recognition
  • Fuzzy and Hybrid Techniques
  • Geometric Algebra Application in Perception Action
  • High Performance Computing for Pattern Recognition
  • Image Coding, Processing and Analysis
  • Kernel Machines
  • Mathematical Theory of Computational Neuroscience
  • Natural Language Processing and Recognition
  • Neural Networks
  • Parallel and Distributed Applications for Computational Neuroscience
  • Robotics and Humanoids Shape and Texture Analysis
  • Signal Processing and Analysis
  • Spatio-Temporal Analysis
  • Educational Issues