Linda Henriksson

Senior University Lecturer
Senior University Lecturer
T314 Dept. Neuroscience and Biomedical Engineering
Full researcher profile
https://research.aalto.fi/...
Phone number
+358504371586

Areas of expertise

Retinotopic mapping, Computational modeling, MEG, FMRI, Vision, Neuroscience, Magnetoencephalography, Visual neuroscience, Functional magnetic resonance imaging, Visual cortex, Extrastriate cortex, Scene vision, Social vision, Neuroimaging, Representational similarity, Eye movements, Face, Brain

Publications

Cortical encoding of spatial structure and semantic content in 3D natural scenes : an MEG study

Linda Henriksson, Riikka Mononen, Toni Saarela, Maria Olkkonen 2022 Perception

Dynamics of retinotopic spatial attention revealed by multifocal MEG

Ilmari Kurki, Aapo Hyvärinen, Linda Henriksson 2022 NeuroImage

Eye movement behavior in a real-world virtual reality task reveals ADHD in children

Liya Merzon, Kati Pettersson, Eeva T. Aronen, Hanna Huhdanpää, Erik Seesjärvi, Linda Henriksson, W. Joseph MacInnes, Minna Mannerkoski, Emiliano Macaluso, Juha Salmi 2022 Scientific Reports

Neuronavigated TMS of early visual cortex eliminates unconscious processing of chromatic stimuli

Mikko Hurme, Mika Koivisto, Linda Henriksson, Henry Railo 2020 Neuropsychologia

Rapid Invariant Encoding of Scene Layout in Human OPA

Linda Henriksson, Marieke Mur, Nikolaus Kriegeskorte 2019 Neuron

Optimization of Proprioceptive Stimulation Frequency and Movement Range for fMRI

Timo Nurmi, Linda Henriksson, Harri Piitulainen 2018 FRONTIERS IN HUMAN NEUROSCIENCE

Optimization of proprioceptive stimulation frequency for fMRI studies

Timo Nurmi, Linda Henriksson, Harri Piitulainen 2018

Contextual and social cues may dominate natural visual search

Linda Henriksson, Riitta Hari 2017 Behavioral and Brain Sciences

Fixed versus mixed RSA

Seyed-Mahdi Khaligh-Razavi, Linda Henriksson, Kendrick Kay, Nikolaus Kriegeskorte 2017 JOURNAL OF MATHEMATICAL PSYCHOLOGY

Perception and processing of faces in the human brain is tuned to typical feature locations

Benjamin de Haas, D. Samuel Schwarzkopf, Ivan Alvarez, Rebecca P. Lawson, Linda Henriksson, Nikolaus Kriegeskorte, Geraint Rees 2016 JOURNAL OF NEUROSCIENCE