We are excited to welcome you to the CNSP2025 Workshop taking place online on September 2-3, 2025!

This year, for the first time, we are also hosting a CNSP Hackathon in Maastricht, Netherlands on September 12-14, 2025, where you'll have the opportunity to put your coding skills to the test and solve real problems in natural sensory processing.

CNSP2025 Workshop Programme

Join us for engaging two days of learning, networking and advancing natural sensory processing research!

Keynote talks:

• Jean-Rémi King – Emergence of language in the human brain
• Sam Nastase – Unifying the structures of language in a neural population code

Talks:

• Dana Boebinger – Rapid and dynamic construction of acoustically invariant speech representations in the human auditory cortex
• Ashley Symons – Towards a behavioural measure of attentional capture by continuous natural speech

Tutorials:

• Aaron Nidiffer – Encoding/decoding models, multivariate analysis, models validation, etc. in the MATLAB mTRF-Toolbox, a beginner’s tutorial
• Hugo Weissbart – Bridging complexity in neural dynamics: Non-linear approaches to temporal response function analysis
• Maximilian Nentwich – Modelling recurrent connectivity and temporal response functions

You can download the detailed programme here: CNSP2025 PROGRAMME.

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

Who should attend?

• 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.
• Practical interest in applying these notions to your research.

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

Dedicated Q&A breakout rooms

The workshop will include a Q&A session for discussing your questions.

• We will have a general Q&A breakout room for questions that may arise during the workshop.
• We will also organise breakout rooms to answer specific questions that participants may ask before the workshop (via our Slack channel).