CNSP 2022 | 18 July - 21 July
Workshop booklet with schedules and abstracts can be found here.
Session 1 - Investigating auditory processing with natural sound listening paradigms
Keynote - Understanding auditory processing of naturalistic stimuli using linear encoding models
Liberty Hamilton
Introducing the tutorials and CNSP resources
Giovanni Di Liberto
Session 2 - Hands-on tutorials: Encoding and decoding models for neural signal analysis
First-time users – Encoding and decoding models, introduction to multivariate analysis
Mick Crosse, Giorgia Cantisani, Stephanie Haro
Intermediate users – Models validation, multivariate analysis, canonical correlation analysis
Nate Zuk, Aaron Nidiffer, Giovanni Di Liberto
Session 3 - Novel directions on models for neural signal analysis in natural sensory scenarios:
Keynote - The multidimensional representation of melody in human cortex
Narayan Sankaran
Tutorial Talk 1 - Deep neural networks for assessing cortical responses to speech
Michael Thornton
Tutorial Talk 2 - Algorithms for estimating TRF components from M/EEG responses to continuous speech
Joshua Kulasingham
Session 4 - Hands-on tutorials: Encoding and decoding models for neural signal analysis
Tutorial 1 - Deep neural networks for assessing cortical responses to speech
Michael Thornton
Tutorial 2 - Introduction to Encoding/Decoding Analysis using Python and Eelbrain
Joshua Kulasingham
Session 5 - Current challenges, Best practices, and Future directions
Invited Talk - Data standardisation and sharing - A lesson from bioinformatics
Giacomo Baruzzo
Discussion and General Q&A
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