Latin American Workshop on Computational Neuroscience
São Luís, MA - Brazil - December, 8-10, 2021
Hybrid event: face-to-face and online event

Submissions


Authors of accepted papers may present their work in person or remotely.


Prospective authors are invited to contribute to the conference by electronically submitting papers on the topics covered by the event (see complete list below).

GUIDELINES FOR AUTHORS: PAPERS

GUIDELINES FOR AUTHORS: ABSTRACTS

Important Dates


  • Paper submission deadline: August 16, 2021 September 6, 2021 September 27, 2021 October 11,2021
  • Notification of acceptance (paper): September 30, 2021 October 29,2021
  • Camera-ready (paper): October 31, 2021 November 16, 2021

  • Abstract submission deadline: September 27, 2021 October 11,2021
  • Notification of acceptance (abstract): October 15, 2021 October 29, 2021
  • Camera-ready (abstract): October 31, 2021 November 8, 2021

  • Workshop: December 8-10, 2021 (UFMA, São Luís do Maranhão, Brazil and Online)

Disclaimer

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


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
  • Educational issues
  • 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
  • Population coding
  • Spiking neural networks and applications
  • Complex systems and network conectivity
  • Neural Information Theory
  • Neurocomputational systems
Neuroscience
  • 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
Neuroengineering
  • 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 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