Latin American Workshop on Computational Neuroscience
São João del-Rei, MG - Brazil - September, 18-20, 2019


Prospective authors are invited to contribute to the conference by electronically submitting papers and abstracts in English, Portuguese or Spanish, according to the models found here;


Consent to Publish form


Important Dates

In order to extend the benefit of IBRO travel grant support to the greatest number of interested participants and responding to several requests, the organizing committee decided to extend the submission deadline now to June, 15th, 2019. There will be no further extension.


Dates may change according to the terms negotiated with publisher and availability of reviewers. Please, check this page frequently for updates.


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

Computational Neuroscience

  • Biophysically realistic models
  • Single-neuron modeling
  • Models of brain networks and circuits
  • Sensory processing
  • Development, axonal patterning, and guidance
  • Memory and synaptic plasticity
  • Consciousness
  • Computational clinical neuroscience
  • Neuroinformatics
  • Neural coding
  • Neural statistics
  • Dendritic computation
  • Neural basis of persistent activity
  • Nonlinear receptive field mapping
  • Representations of time and sequence
  • Reward systems, decision-making simulation
  • Synaptic plasticity
  • Learning and plasticity
  • Population coding
  • Spiking nueral networks and applications
  • Complex systems and network conectivity
  • Neural information theory
  • Neurocomputational systems
  • Educational issues

Artificial Intelligence and related topics

  • 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
  • Spatiotemporal analysis
  • Educational issues


  • 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
  • Neuromorphic computing
  • Educational issues