aaltoimaginglanguage Goto Github PK

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comica

Custom made functions and code for applying the comICA algorithm to MEG recordings.

conpy

Python package for power mapping and functional connectivity using DICS

custom_parcellations

MEG optimized parcellations

ghazaryan2023

Analysis code relating to Ghazaryan et al. 2023: Cortical time-course of evidence accumulation during semantic processing

haakana2023

hakala2024

This repository contains the code utilized in the paper: "Subword representations successfully decode brain responses to morphologically complex written words" by Tero Hakala, Tiina Lindh-Knuutila, Annika Hultén, Minna Lehtonen, and Riitta Salmelin Department of Neuroscience and Biomedical Engineering, Aalto University, Finland

hulten2021

Analysis code relating to Hultén et al. 2018: Cracking the problem of neural representations of abstract words: grounding word meanings in language itself

kivisaari2019

Analysis code relating to Kivisaari et al. 2018: The brain reconstructs bits of information into rich meaningful representations

semanticnorms

Data and code for comparing semantic norms

speechness

Analysis code relating to Nora, Faisal et al 2020: Dynamic time-locking mechanism in the cortical representation of spoken words

study_template

A template for new data analysis pipelines