Flex Conference (Physical / Digital)

International Conference on Mathematical Models in Neuroscience and Cognition - (ICMMNC-27)

27th - 28th February 2027 , Linden - Guyana

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Call For Papers

The (ICMMNC-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Mathematical models in cognitive neuroscience
  • Stochastic modeling of neural networks
  • Mathematical frameworks for brain connectivity
  • Modeling cognitive processes and behaviors
  • Data-driven approaches in neuroscience research
  • Mathematical modeling of sensory systems
  • Simulation of neural dynamics and functions
  • Mathematical analysis of learning processes
  • Modeling the impact of neurodegenerative diseases
  • Mathematical frameworks for brain-computer interfaces
  • Optimization in cognitive modeling techniques
  • Mathematical models for decision-making processes
  • Modeling emotional responses in the brain
  • Mathematical approaches to memory systems
  • Simulation of brain activity patterns
  • Mathematical modeling of attention mechanisms
  • Quantitative analysis of neural data
  • Mathematical frameworks for cognitive development
  • Modeling the effects of stress on cognition
  • Mathematical models for social cognition

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.