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Similarity-based fusion of MEG and fMRI reveals spatio-temporal dynamics in human cortex during visual object recognition [article]

Radoslaw Cichy, Dimitrios Pantazis, Aude Oliva
2015 bioRxiv   pre-print
Every human cognitive function, such as visual object recognition, is realized in a complex spatio-temporal activity pattern in the brain.  ...  Current brain imaging techniques in isolation cannot resolve the brain's spatio-temporal dynamics because they provide either high spatial or temporal resolution but not both.  ...  A comprehensive large--scale view of brain function with both high spatial and temporal resolution thus necessitates integration of available information from multiple brain imaging modalities, most commonly  ... 
doi:10.1101/032656 fatcat:s7cktbw4znc2zhco2zfmch3lwm

Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition

Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva
2016 Cerebral Cortex  
Every human cognitive function, such as visual object recognition, is realized in a complex spatio-temporal activity pattern in the brain.  ...  Current brain imaging techniques in isolation cannot resolve the brain's spatio-temporal dynamics, because they provide either high spatial or temporal resolution but not both.  ...  Conflict of Interest: None declared.  ... 
doi:10.1093/cercor/bhw135 pmid:27235099 pmcid:PMC4961022 fatcat:iyl6vppen5bgda4vanuxrkp4xe

Prolonged and distributed processing of facial identity in the human brain [article]

Rico Stecher, Ilkka Muukkonen, Viljami R Salmela, Sophie-Marie Rostalski, Géza Gergely Ambrus, Gyula Kovács
2021 bioRxiv   pre-print
of parietal, temporal, and frontal areas with overlapping temporal profiles.  ...  Despite extensive prior fMRI and EEG/MEG research on the neural representations of familiar faces, we know little about the spatio-temporal dynamics of face identity information.  ...  of the University of Jena.  ... 
doi:10.1101/2021.06.23.449599 fatcat:jdrjv6cvpvemvncpsilwk7eosa

Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition [article]

Radoslaw M. Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva
2016 arXiv   pre-print
Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with representations in an artificial deep neural network (DNN) tuned to the statistics of  ...  with the brain.  ...  R.M.C. and D.P. acquired and analyzed brain data, A.K. trained and analyzed computer models. R.M.C. provided model-brain comparison.  ... 
arXiv:1601.02970v1 fatcat:zdcjxmwfs5eydgzfny4f4qy5yy

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva
2016 Scientific Reports  
Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with representations in an artificial deep neural network (DNN) tuned to the statistics of  ...  with the brain.  ...  To determine classification accuracy of the object DNN on the 118-image set used to probe the brain here, we determined the 5 most confident classification labels for each image.  ... 
doi:10.1038/srep27755 pmid:27282108 pmcid:PMC4901271 fatcat:ijfwlcbs4zgr3li44ttzt74mjy

Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model

Maryam Gholami Doborjeh, Elisa Capecci, Nikola Kasabov
2014 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS)  
This constitutes a type of Spatio-Temporal Brain Data (STBD) measured according to neurons spatial location inside the brain and their signals oscillating over the mental activity period [1]; thus, it  ...  After the NeuCube is trained with the fMRI samples, the 'hidden' spatio-temporal relationship between data is learnt.  ...  A SPIKING NEURAL NETWORK METHODOLOGY FOR MODELLING FMRI SPATIO-TEMPORAL DATA OF BRAIN COGNITIVE ACTIVITIES A.  ... 
doi:10.1109/eals.2014.7009506 dblp:conf/eals/DoborjehCK14 fatcat:lzizsc7wpzflfcgy6fie64moia

Resolving the neural dynamics of visual and auditory scene processing in the human brain: a methodological approach

Radoslaw Martin Cichy, Santani Teng
2017 Philosophical Transactions of the Royal Society of London. Biological Sciences  
Further, no single non-invasive brain measurement technique provides a spatio-temporally integrated view.  ...  In natural environments, visual and auditory stimulation elicit responses across a large set of brain regions in a fraction of a second, yielding representations of the multimodal scene and its properties  ...  (c) Addressing challenge 3: integration of imaging methods and models for a spatio-temporally resolved and algorithmically informed view For a spatio-temporally integrated and algorithmically informed  ... 
doi:10.1098/rstb.2016.0108 pmid:28044019 pmcid:PMC5206276 fatcat:xusihs36drbmrjobpwavrbajle

Dynamic Changes in the Mental Rotation Network Revealed by Pattern Recognition Analysis of fMRI Data

Janaina Mourao-Miranda, Christine Ecker, Joao R. Sato, Michael Brammer
2009 Journal of Cognitive Neuroscience  
(A-C) Classification accuracy of the spatio-temporal SVMs in discriminating between mental rotation tasks with different degrees of angular disparity (O° vs. 20°, 0° vs. 60°, and 0° vs. 100°).  ...  Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping, 2, 189-210 Harris, I. M., Egan, G. F., Sonkkila, C., Tochon-Danguy, H. J., Paxinos, G., & Watson, J.  ... 
doi:10.1162/jocn.2009.21078 pmid:18702583 fatcat:ig4ckg3o5rhw3dzkgqvcztnobe

Neural dynamics of real-world object vision that guide behaviour [article]

Radoslaw Martin Cichy, Nikolaus Kriegeskorte, Kamila M. Jozwik, Jasper J. F. van den Bosch, Ian Charest
2017 bioRxiv   pre-print
To capture the richness and complexity of the visual world and the behaviour it entails, we used an ecologically valid task with a rich set of real-world object images.  ...  assessment for human brain mapping.  ...  When repeated for all time points, this resulted in a series of 3D maps 247 revealing the spatio--temporal activation of the human brain during object perception as 248 measured with MEG and fMRI respectively  ... 
doi:10.1101/147298 fatcat:a75o3dm4cbhlbat26qmcpjagqu

Verbal labels selectively bias brain responses to high-energy foods

Ulrike Toepel, Kathrin Ohla, Julie Hudry, Johannes le Coutre, Micah M. Murray
2014 NeuroImage  
We investigated whether written labels with positive and negative (as opposed to 'neutral') valence differentially modulate the spatio-temporal brain dynamics in response to the subsequent viewing of high-and  ...  Knowing which and how food-external cues impact the sensory processing and cognitive valuation of food would provide a strong benefit toward a more integrative understanding of food intake behavior and  ...  of verbal-emotional labeling on the spatio-temporal brain dynamics of food categorization.  ... 
doi:10.1016/j.neuroimage.2013.10.038 pmid:24185017 fatcat:cmvqq6gx5zfqdmeucvj3lxap7e

An Integrated Neighborhood Correlation and Hierarchical Clustering Approach of Functional MRI

H. Chen, H. Yuan, D. Yao, L. Chen, W. Chen
2006 IEEE Transactions on Biomedical Engineering  
Clustering analysis is a promising data-driven method for the analysis of functional magnetic resonance imaging (fMRI) time series, however, the huge computation load makes it difficult for practical use  ...  In this paper, neighborhood correlation (NC) and hierarchical clustering (HC) methods are integrated as a new approach where fMRI data are processed first by NC to get a preliminary image of brain activations  ...  INTRODUCTION F UNCTIONAL magnetic resonance imaging (fMRI) has emerged as a useful tool in the study of brain function.  ... 
doi:10.1109/tbme.2005.869660 pmid:16532771 fatcat:xtqqitpkyjarriepc6kf5j54tm

Spatio-temporal dynamics of face perception

I. Muukkonen, K. Ölander, J. Numminen, V.R. Salmela
2020 NeuroImage  
The results highlight the importance of a multimodal approach for understanding the functional roles of different brain regions in face processing.  ...  The temporal and spatial neural processing of faces has been investigated rigorously, but few studies have unified these dimensions to reveal the spatio-temporal dynamics postulated by the models of face  ...  Acknowledgements This work was supported by an Academy of Finland grant to VRS (grant number 298329). Appendix A.  ... 
doi:10.1016/j.neuroimage.2020.116531 pmid:31931156 fatcat:tu6xv6rhx5cu7ppmdrz7cnitwa

Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease [chapter]

Wolf-Dieter Vogl, Helmut Prosch, Christina Müller-Mang, Ursula Schmidt-Erfurth, Georg Langs
2014 Lecture Notes in Computer Science  
It aligns follow- up series of different patients in time, and creates a cross-sectional spatio-temporal disease pattern distribution model.  ...  We propose a method for temporally aligning imaging data from multiple patients driven by disease appearance.  ...  Now, we perform longitudinal alignment by minimizing an objective function C(t) to obtain a mapping t 0 → t.  ... 
doi:10.1007/978-3-319-10470-6_13 pmid:25485367 fatcat:qzyrtlxggfb4tly7oyqdptyram

Large-scale, high-resolution electrophysiological imaging of field potentials in brain slices with microelectronic multielectrode arrays

E. Ferrea, A. Maccione, L. Medrihan, T. Nieus, D. Ghezzi, P. Baldelli, F. Benfenati, L. Berdondini
2012 Frontiers in Neural Circuits  
We demonstrate that multiple chemically induced epileptiform episodes in the mouse cortex and hippocampus can be classified according to their spatio-temporal dynamics.  ...  Here, we present a large-scale array recording simultaneously from 4096 electrodes used to study propagating spontaneous and evoked network activity in acute murine cortico-hippocampal brain slices at  ...  We are also grateful to Evelyne Sernagor for critical reading of the manuscript.  ... 
doi:10.3389/fncir.2012.00080 pmid:23162432 pmcid:PMC3496908 fatcat:e55bmfhbrrewxeckauggp3vbei

The functional neuroanatomy of face perception: from brain measurements to deep neural networks

Kalanit Grill-Spector, Kevin S. Weiner, Jesse Gomez, Anthony Stigliani, Vaidehi S. Natu
2018 Interface Focus  
] have brought machine performance in recognition and classification of visual images to a level that rivals human performance [18, [22] [23] [24] .  ...  Thus, this review begins with a brief overview of the face recognition system in the human brain.  ... 
doi:10.1098/rsfs.2018.0013 pmid:29951193 pmcid:PMC6015811 fatcat:sshfwwcmljf5ro2rnbpylwqrxm
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