Our team is currently working on bringing CNSP2025 to you. Please stay tuned for the schedule and registration information!

About:

Methodologies for neural signal processing in the case of natural scenes and sound perception.

• Talks from experts in the field
• Tutorials on encoding and decoding models for neural signal analysis
• Tutorial sessions on specific study cases and/or methodologies
• Q/A sessions and continuous support throughout the workshop

Participants?

• Researchers interested in studying natural speech or music perception with EEG/MEG/ECoG, but have no experience with ecologically-valid experiments.
• Researchers with experience in continuous sensory perception and tools such as the mTRF-Toolbox, who are interested in deepening their understanding and in expanding their set of tools.

Prerequisites?

• Some experience with neural signal processing (e.g., EEG, MEG, or ECoG).
• Some programming experience (Matlab/Python) for the hands-on sessions.
• A practical interest in applying these notions.

What will you learn?

• Theoretical insights into system identification and multivariate linear methods for neural signal analysis
• Practical guidelines on how to prepare, process, and interpret your data
• Practical knowledge of tools for neural signal analysis such as the mTRF-Toolbox

BYOD! (Bring your own dataset)

We will provide you with guidelines to prepare your own data for the practical sessions. We can then answer your specific question during the Q/A sessions.
Datasets will be available, if you don't have your own.