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
  • Sensory processing
  • Nervous system development and related disorders
  • Emotion, Memory, and Cognition
  • Aging and Neurodegenerative Disorders
  • Network dynamics
  • Neuroimmunology
  • Neural Excitability, Synapses, and Plasticity
  • Motivation and decision making
  • Statistical approaches
  • Social neuroscience
  • Developmental and behavioral disorders
  • Learning and memory
  • Attention and arousal
  • Structural and functional connectomes
  • Imaging techniques
  • Sensory-motor systems
  • Embodied Cognition
  • Learning in networks
  • COVID-19-related cognitive issues
  • Educational and ethical issues
Artificial Intelligence and related topics
  • Reinforcement learning
  • Big Data Neuroscience applications
  • Bioinformatics
  • Clustering
  • Computer vision
  • Data mining and knowledge-based systems
  • Natural Language Processing
  • Deep Learning
  • Pattern recognition
  • Fuzzy and hybrid techniques
  • High-performance computing
  • Hierarchical models
  • Kernel machines
  • Neural coding
  • Probabilistic models
  • Neural Networks
  • Signal processing and analysis
  • Spatiotemporal analysis
  • Educational and ethical issues
  • Neural signal processing
  • Neuromodulation
  • Neuroprosthetics
  • Bioengineering
  • Rehabilitation
  • Large-scale recordings
  • Brain-Computer Interfaces
  • Haptics​
  • Human augmentation
  • Robotics
  • Neurorobotics
  • Data fusion for robotics
  • Exoskeletons
  • Human-Robot Interaction
  • Human Factors
  • Hardware and software implementations in neuroscience
  • Educational and ethical issues

All accepted papers will be published in the conference proceedings, with ISBN (see proceedings of LAWCN 2017, LAWCN 2019, and LAWCN 2021). We will have the following journal options for publishing the best papers:

Thus, all papers must be in PDF format and include abstract, figures, tables, and references in the minimum/maximum number of pages (according to the category desired); papers can be submitted in five categories:

Submitted papers will undergo a peer review process, coordinated by the International Program Committee, based on technical quality, originality, significance, clarity, and relevance to LAWCN 2023. Authors of accepted papers must present their work in the workshop. The full guide of authors and paper submission system is in the next link (with previous registration): /lawcn/about/submissions