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Ahoi hoi there and welcome

My name is Peer and I’m a Research Assistant Professor at Northwestern University and a research affiliate in cognitive and computational (auditory) neuroscience, Artificial Intelligence and Data Analyses, partly affiliated with the with the Montréal Neurological Institute & Hospital (MNI) located at McGill University, with the International Laboratory for Brain, Music and Sound Research (BRAMS) which is jointly run by the Université de Montréal & McGill University & the Senseable Intelligence Group at the McGovern Institute for Brain Research. Additionally, I’m part of the BIDS, Neuromod, ReproNim, OHBM SEA-SIG teams and the European AI Alliance initiative.

In terms of research, I’m interested in generalization in biological and artificial agents and the potentially underlying transformations as a basis for intelligent adaptive behavior. I tackle these questions using MRI, EEG, behavior and artificial neural networks, with a special emphasis on data analysis approaches (e.g., pattern analyses, multimodal data integration, naturalistic paradigms, alignment methods & statistical learning) as open, transparent and reproducible as possible. Furthermore, I’m highly invested in education & outreach, fair access & utilization of knowledge, as well as responsible & sustainable science.

Peer Herholz's Projects

alpaca icon alpaca

repository for the ALPACA toolbox, including code, tutorials, docker files, etc.

audiometry_mri icon audiometry_mri

repository for audiometry in MRI settings, including code, tutorials, etc.

auditory_prf_task icon auditory_prf_task

Psychopy task for measuring auditory population receptive fields (pRFs) with fMRI

auditory_system_connectivities icon auditory_system_connectivities

repository for the project "The networks they are a-changin' - Investigating auditory system connectivities during cortical processing of speech, song and music in left-handers and musicians"

bids-starter-kit icon bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

bids_atlas icon bids_atlas

A small python package to access publicly available brain atlases in a BIDS-Atlas compliant manner.

bids_bep16_conv icon bids_bep16_conv

A small package to implement conversions between BEP-16 (Diffusion Derivatives) compliant datasets and other/existing software outputs.

bids_relmat icon bids_relmat

A small python package to add Relationship Matrix metadata to BIDS derivatives datasets.

bidsnbs icon bidsnbs

A small toolbox to ease up the conversion from BIDS to BIDS-NBS datasets.

bidsonym icon bidsonym

a BIDS app for pseudo-anonymization of neuroimaging data

brainspace icon brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

cannap icon cannap

A collection of ANNs focusing auditory processing, ready to go for multimodal investigations.

cog_com_neuro_ml_dl icon cog_com_neuro_ml_dl

The repository for the "Cognitive & computational neuroscience: an introduction to machine/deep learning and neuro-data-science" Course, spring term 2022.

data_fusion_eeg_fmri icon data_fusion_eeg_fmri

repository wrt different approaches for multimodal data fusion for simultaneous eeg-fMRI based on open source software

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