Spatial smoothing hurts localization but not information: Pitfalls for brain mappers

Decoding the visual and subjective contents of the human brain

Kamitani, Y., & Tong, F. (2005) · Nature Neuroscience · doi:10.1038/nn1444 · Cited by 1,829

How much cortex can a vein drain? Downstream dilution of activation-related cerebral blood oxygenation changes

Turner, R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1082 · Cited by 365

Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses?

Op de Beeck, H. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.047 · Cited by 275

Deficient approaches to human neuroimaging

Stelzer, J., Lohmann, G., Mueller, K., Buschmann, T., & Turner, R. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00462 · Cited by 418

A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives

Haynes, J.-D. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.025 · Cited by 402

Primary somatosensory cortex discriminates affective significance in social touch

Gazzola, V., Spezio, M. L., Etzel, J. A., Castelli, F., Adolphs, R., & Keysers, C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113211109 · Cited by 323

Acute social isolation evokes midbrain craving responses similar to hunger

Tomova, L., Wang, K. L., Thompson, T., Matthews, G. A., Takahashi, A., Tye, K. M., & Saxe, R. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00742-z · Cited by 283

Domain-General and Domain-Specific Patterns of Activity Supporting Metacognition in Human Prefrontal Cortex

Morales, J., Lau, H., & Fleming, S. M. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2360-17.2018 · Cited by 274

Orientation Decoding Depends on Maps, Not Columns

Freeman, J., Brouwer, G. J., Heeger, D. J., & Merriam, E. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5160-10.2011 · Cited by 256

Successful Remembering Elicits Event-Specific Activity Patterns in Lateral Parietal Cortex

Kuhl, B. A., & Chun, M. M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4328-13.2014 · Cited by 260

Multivoxel Pattern Analysis for fMRI Data: A Review

Mahmoudi, A., Takerkart, S., Regragui, F., Boussaoud, D., & Brovelli, A. (2012) · Computational and Mathematical Methods in Medicine · doi:10.1155/2012/961257 · Cited by 206

Multiscale Pattern Analysis of Orientation-Selective Activity in the Primary Visual Cortex

Swisher, J. D., Gatenby, J. C., Gore, J. C., Wolfe, B. A., Moon, C., Kim, S., & Tong, F. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4811-09.2010 · Cited by 185

Control of Spatial and Feature-Based Attention in Frontoparietal Cortex

Greenberg, A. S., Esterman, M. S., Wilson, D., Serences, J. T., & Yantis, S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4248-09.2010 · Cited by 188

Decoding Effector-Dependent and Effector-Independent Movement Intentions from Human Parieto-Frontal Brain Activity

Gallivan, J. P., McLean, D. A., Smith, F. W., & Culham, J. C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1058-11.2011 · Cited by 167

Classical Statistics and Statistical Learning in Imaging Neuroscience: Two Statistical Cultures in Neuroimaging

Bzdok, D. (2017) · HAL · Cited by 160

Compositionality of Rule Representations in Human Prefrontal Cortex

Reverberi, C., Görgen, K., & Haynes, J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr200 · Cited by 152

Analysis strategies for high-resolution UHF-fMRI data

Polimeni, J. R., Renvall, V., Zaretskaya, N., & Fischl, B. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.053 · Cited by 129

The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis

Gardumi, A., Ivanov, D., Hausfeld, L. G., Valente, G., Formisano, E., & Uludaǧ, K. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.033 · Cited by 119

Distinguishing multi-voxel patterns and mean activation: Why, how, and what does it tell us?

Coutanche, M. N. (2013) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-013-0186-2 · Cited by 111

Predicting the integration of overlapping memories by decoding mnemonic processing states during learning

Richter, F. R., Chanales, A. J. H., & Kuhl, B. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.051 · Cited by 106

Challenges for molecular neuroimaging with MRI

Lelyveld, V. S., Atanasijevic, T., & Jasanoff, A. (2010) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20221 · Cited by 106

Repetition Suppression and Multi-Voxel Pattern Similarity Differentially Track Implicit and Explicit Visual Memory

Ward, E. J., Chun, M. M., & Kuhl, B. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4889-12.2013 · Cited by 100

Decoding and predicting intentions

Haynes, J. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.05994.x · Cited by 91

Coarse-Scale Biases for Spirals and Orientation in Human Visual Cortex

Freeman, J., Heeger, D. J., & Merriam, E. P. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0889-13.2013 · Cited by 74

Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing

Lombardo, M., Auyeung, B., Holt, R., Waldman, J., Ruigrok, A., Mooney, N., Bullmore, E., Baron-Cohen, S., & Kundu, P. (2015) · bioRxiv · doi:10.1016/j.neuroimage.2016.07.022 · Cited by 99

Decisions about the past are guided by reinstatement of specific memories in the hippocampus and perirhinal cortex

Mack, M. L., & Preston, A. R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.015 · Cited by 86

Probing the mysterious underpinnings of multi-voxel fMRI analyses

de Beeck, H. O. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.072 · Cited by 66

fMRI orientation decoding in V1 does not require global maps or globally coherent orientation stimuli

Alink, A., Krugliak, A., Walther, A., & Kriegeskorte, N. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00493 · Cited by 63

Orientation Decoding in Human Visual Cortex: New Insights from an Unbiased Perspective

Carlson, T. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0548-14.2014 · Cited by 64

Is race erased? Decoding race from patterns of neural activity when skin color is not diagnostic of group boundaries

Ratner, K. G., Kaul, C., & Bavel, J. J. V. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss063 · Cited by 64

Decoding information in the human hippocampus: A user's guide

Chadwick, M. J., Bonnici, H. M., & Maguire, E. A. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.07.007 · Cited by 68

Within- and cross-participant classifiers reveal different neural coding of information

Clithero, J. A., Smith, D. V., Carter, R., & Huettel, S. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.057 · Cited by 65

Modeling and analysis of mechanisms underlying fMRI-based decoding of information conveyed in cortical columns

Chaimow, D., Yacoub, E. S., Uǧurbil, K., & Shmuel, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.037 · Cited by 55

Distinct neural patterns of social cognition for cooperation versus competition

Tsoi, L., Dungan, J. A., Waytz, A. G., & Young, L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.069 · Cited by 60

Acute social isolation evokes midbrain craving responses similar to hungerPreprint

Tomova, L., Wang, K. L., Thompson, T. W., Matthews, G. A., Takahashi, A., Tye, K. M., & Saxe, R. R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.25.006643 · Cited by 67

Shared Neural Representations of Cognitive Conflict and Negative Affect in the Medial Frontal Cortex

Vermeylen, L., Wisniewski, D., González‐García, C., Hoofs, V., Notebaert, W., & Braem, S. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1744-20.2020 · Cited by 55

Amodal Processing in Human Prefrontal Cortex

Tamber-Rosenau, B. J., Dux, P. E., Tombu, M. N., Asplund, C. L., & Marois, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4601-12.2013 · Cited by 53

A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes

Coutanche, M. N., Solomon, S. H., & Thompson‐Schill, S. L. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.01.018 · Cited by 47

Cholinergic capacity mediates prefrontal engagement during challenges to attention: evidence from imaging genetics

Berry, A. S., Blakely, R., Sarter, M. F., & Lustig, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.036 · Cited by 47

Motion Direction Biases and Decoding in Human Visual Cortex

Wang, H. X., Merriam, E. P., Freeman, J., & Heeger, D. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1034-14.2014 · Cited by 43

Imaging prior information in the brain

Gorlin, S., Meng, M., Sharma, J., 杉原, 弘., Sur, M., & Sinha, P. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111224109 · Cited by 41

Demonstration of Tuning to Stimulus Orientation in the Human Visual Cortex: A High-Resolution fMRI Study with a Novel Continuous and Periodic Stimulation Paradigm

Sun, P., Gardner, J. L., Costagli, M., Ueno, K., Waggoner, R. A., Tanaka, K., & Cheng, K. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs149 · Cited by 43

The effect of spatial smoothing on fMRI decoding of columnar-level organization with linear support vector machine

Misaki, M., Luh, W., & Bandettini, P. A. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.11.004 · Cited by 42

The impact of certain methodological choices on multivariate analysis of fMRI data with support vector machines

Etzel, J. A., Valchev, N. S., & Keysers, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.050 · Cited by 41

Brains in dialogue: decoding neural preparation of speaking to a conversational partner

Kuhlen, A. K., Bogler, C., Brennan, S. E., & Haynes, J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx018 · Cited by 46

Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging

Kim, H., Bandettini, P. A., & Lee, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.054 · Cited by 39

Pattern‐information fMRI: New questions which it opens up and challenges which face it

Raizada, R. D. S., & Kriegeskorte, N. (2010) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20225 · Cited by 39

Seeing patterns through the hemodynamic veil — The future of pattern-information fMRI

Formisano, E., & Kriegeskorte, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.078 · Cited by 38

Neural specificity of scene representations is related to memory performance in childhood

Fandakova, Y., Leckey, S., Driver, C., Bunge, S. A., & Ghetti, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.050 · Cited by 35

Representation of Auditory Motion Directions and Sound Source Locations in the Human Planum Temporale

Battal, C., Rezk, M., Mattioni, S., Vadlamudi, J., & Collignon, O. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2289-18.2018 · Cited by 33

Effects of spatial smoothing on group-level differences in functional brain networks

Triana, A. M., Glerean, E., Saramäki, J., & Korhonen, O. (2020) · Network Neuroscience · doi:10.1162/netn_a_00132 · Cited by 33

Contribution of large scale biases in decoding of direction-of-motion from high-resolution fMRI data in human early visual cortex

Beckett, A. J. S., Peirce, J. W., Sánchez-Panchuelo, R.-M., Francis, S., & Schluppeck, D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.066 · Cited by 29

Effects of Hormone Therapy on Brain Volumes Changes of Postmenopausal Women Revealed by Optimally-Discriminative Voxel-Based Morphometry

Zhang, T., Casanova, R., Resnick, S. M., Manson, J. E., Baker, L. D., Padual, C. B., Kuller, L. H., Bryan, R. N., Espeland, M. A., & Davatzikos, C. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150834 · Cited by 32

Dynamic representations of race: processing goals shape race decoding in the fusiform gyri

Kaul, C., Ratner, K. G., & Bavel, J. J. V. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss138 · Cited by 30

Natural scene sampling reveals reliable coarse-scale orientation tuning in human V1

Roth, Z. N., Kay, K., & Merriam, E. P. (2022) · Nature Communications · doi:10.1038/s41467-022-34134-7 · Cited by 25

Combining sparseness and smoothness improves classification accuracy and interpretability

de Brecht, M., & Yamagishi, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.085 · Cited by 27

Long-term training-dependent representation of individual finger movements in the primary motor cortex

Ogawa, K., Mitsui, K., Imai, F., & Nishida, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116051 · Cited by 24

What Makes a Pattern? Matching Decoding Methods to Data in Multivariate Pattern Analysis

Kragel, P. A., Carter, R., & Huettel, S. A. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00162 · Cited by 23

Radial Biases in the Processing of Motion and Motion-Defined Contours by Human Visual Cortex

Clifford, C. W. G., Mannion, D. J., & McDonald, J. S. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00411.2009 · Cited by 26

Can a Single Brain Region Predict a Disorder?

Honorio, J., Tomasi, D. G., Goldstein, R. Z., Leung, H., & Samaras, D. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2206047 · Cited by 23

Multiple scales of organization for object selectivity in ventral visual cortex

Brants, M., Baeck, A., Wagemans, J. P., & de Beeck, H. O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.079 · Cited by 21

Adaptive smoothing based on Gaussian processes regression increases the sensitivity and specificity of fMRI data

Strappini, F., Gilboa, E., Pitzalis, S., Kay, K., McAvoy, M. P., Nehorai, A., & Snyder, A. Z. (2016) · Human Brain Mapping · doi:10.1002/hbm.23464 · Cited by 21

Neural reinstatement and the amount of information recollected

Leiker, E., & Johnson, J. D. (2014) · Brain Research · doi:10.1016/j.brainres.2014.07.026 · Cited by 21

Effects of spatial fMRI resolution on the classification of naturalistic movies

Mandelkow, H., de Zwart, J. A., & Duyn, J. H. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.053 · Cited by 22

The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 T

Sengupta, A., Yakupov, R., Speck, O., Pollmann, S., & Hanke, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.040 · Cited by 18

Have you been there before? Decoding recognition of spatial scenes from fMRI signals in precuneus

Bogler, C., Zangrossi, A., Miller, C., Sartori, G., & Haynes, J. (2024) · Human Brain Mapping · doi:10.1002/hbm.26690 · Cited by 16

General Transformations of Object Representations in Human Visual Cortex

Ward, E. J., Işık, L., & Chun, M. M. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2800-17.2018 · Cited by 16

Adding Meaning to Memories: How Parietal Cortex Combines Semantic Content with Episodic Experience

Lee, H., Keene, P. A., Sweigart, S. C., Hutchinson, J. B., & Kuhl, B. A. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1919-22.2023 · Cited by 17

Accurate decoding of sub-TR timing differences in stimulations of sub-voxel regions from multi-voxel response patterns

Misaki, M., Luh, W., & Bandettini, P. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.069 · Cited by 15

The basis of orientation decoding in human primary visual cortex: fine- or coarse-scale biases?

Maloney, R. T. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00196.2014 · Cited by 13

Classical Statistics and Statistical Learning in Imaging Neuroscience

Bzdok, D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00543 · Cited by 158

Spatially informed voxelwise modeling for naturalistic fMRI experiments

Çelik, E., Dar, S. U. H., Yılmaz, Ö., Keleş, Ü., & Çukur, T. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.044 · Cited by 13

Evidence against the Detectability of a Hippocampal Place Code Using Functional Magnetic Resonance Imaging

Nolan, C. R., Vromen, J. M. G., Cheung, A., & Baumann, O. (2018) · eNeuro · doi:10.1523/eneuro.0177-18.2018 · Cited by 11

Visual Image Reconstruction from Brain Activity via Latent Representation

Kamitani, Y., Tanaka, M., & Shirakawa, K. (2025) · Annual Review of Vision Science · doi:10.1146/annurev-vision-110423-023616 · Cited by 10

Population Models, Not Analyses, of Human Neuroscience Measurements

Gardner, J. L., & Merriam, E. P. (2021) · Annual Review of Vision Science · doi:10.1146/annurev-vision-093019-111124 · Cited by 9

Neural classification maps for distinct word combinations in Broca’s area

Schell, M., Friederici, A. D., & Zaccarella, E. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.930849 · Cited by 11

Orientation decoding: Sense in spirals?

Clifford, C. W. G., & Mannion, D. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.055 · Cited by 10

What do across-subject analyses really tell us about neural coding?

Ramírez, F., Revsine, C., & Merriam, E. P. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107489 · Cited by 12

Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning

Kim, D., Jung, E., Zhang, J., Lee, S. Y., & Lee, J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25127 · Cited by 10

A response‐locking protocol to boost sensitivity for fMRI ‐based neurochronometry

Viswanathan, S., Abdollahi, R. O., Wang, B., Grefkes, C., Fink, G. R., & Daun, S. (2020) · Human Brain Mapping · doi:10.1002/hbm.25026 · Cited by 8

Multi-voxel Pattern Analysis

Allefeld, C., & Haynes, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00345-6 · Cited by 10

Do sparse brain activity patterns underlie human cognition?

Jääskeläinen, I. P., Glerean, E., Klucharev, V. A., Шестакова, А. Н., & Ahveninen, J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119633 · Cited by 9

Representation of top-down versus bottom-up attention in the right dorsolateral prefrontal cortex and superior parietal lobule

Zhang, Q., Li, W., Zhang, T., Xiong, R., Zhang, J., Jin, Z., & Li, L. (2025) · Behavioral and Brain Functions · doi:10.1186/s12993-025-00297-8 · Cited by 8

Testing for Spatial Heterogeneity in Functional MRI Using the Multivariate General Linear Model

Leech, R., & Leech, D. (2011) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2011.2114361 · Cited by 8

Representation of semantic typicality in brain activation in healthy adults and individuals with aphasia: A multi-voxel pattern analysis

Li, R., Perrachione, T. K., Tourville, J. A., & Kiran, S. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107893 · Cited by 7

Recent progress in high-resolution functional MRI

Cheng, K. (2011) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283489711 · Cited by 8

Implicit representations of luminance and the temporal structure of moving stimuli in multiple regions of human visual cortex revealed by multivariate pattern classification analysis

Hammett, S. T., Smith, A. T., Wall, M. B., & Larsson, J. T. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00359.2012 · Cited by 8

Domain-General and Domain-Specific Patterns of Activity Supporting Metacognition in Human Prefrontal CortexPreprint

Morales, J., Lau, H. C., & Fleming, S. M. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/172445 · Cited by 9

Similarity in activity and laterality patterns in the angular gyrus during autobiographical memory retrieval and self-referential processing

Mizrahi, T., & Axelrod, V. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02569-9 · Cited by 7

Common cortical areas have different neural mechanisms for covert and overt visual pursuits

Morishige, K.-I., Hiroe, N., Sato, M.-A., & Kawato, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-93259-9 · Cited by 7

Supramodal Representation of the Sense of Body Ownership in the Human Parieto-Premotor and Extrastriate Cortices

Sonobe, Y., Yamagata, T., Yang, H., Haruki, Y., & Ogawa, K. (2023) · eNeuro · doi:10.1523/eneuro.0332-22.2023 · Cited by 7

Mapping Informative Clusters in a Hierarchial Framework of fMRI Multivariate Analysis

Xu, R., Zhen, Z., & Jia Liu, B. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015065 · Cited by 6

Spatial scale and distribution of neurovascular signals underlying decoding of orientation and eye of origin from fMRI data

Larsson, J. T., Harrison, C., Jackson, J. B., Oh, S.-M., & Zeringyte, V. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00590.2016 · Cited by 6

What We Have Learned about Human Primary Visual Cortex from High Resolution Functional Magnetic Resonance Imaging

Cheng, K. (2015) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.2015-0008 · Cited by 6

Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizingPreprint

Lombardo, M. V., Bonnie Auyeung, B., Holt, R., Waldman, J., Ruigrok, A. N. V., Mooney, N., Bullmore, E. T., Baron‐Cohen, S., & Kundu, P. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/017350 · Cited by 6

A Mixed L2 Norm Regularized HRF Estimation Method for Rapid Event-Related fMRI Experiments

Lei, Y., Tong, L., & Yan, B. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/643129 · Cited by 5

Distinct neural representations of hand movement direction between motor imagery and execution in the presupplementary motor area

Yang, Y., Yang, H., Imai, F., & Ogawa, K. (2023) · Neuroscience Research · doi:10.1016/j.neures.2023.01.001 · Cited by 4

Human Sensorimotor Cortex Reactivates Recent Visuomotor Experience during Awake Rest

Ogawa, K., Yang, Y., Yang, H., Imai, F., & Imamizu, H. (2025) · eNeuro · doi:10.1523/eneuro.0134-25.2025 · Cited by 5

Shared neural representations of cognitive conflict and negative affect in the medial frontal cortexPreprint

Vermeylen, L., Wisniewski, D., González‐García, C., Hoofs, V., Notebaert, W., & Braem, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/824839 · Cited by 5

A deep neural network for adaptive spatial smoothing of task fMRI data

Yang, Z., Zhuang, X., Lowe, M. J., & Cordes, D. (2025) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2025.1554769 · Cited by 4

Multivariate pattern analysis in functional brain imaging.

Li, S. (2011) · PubMed · Cited by 3

Human eye visual hyperacuity: Controlled diffraction for image resolution improvement

Lagunas, A., Dominguez, O., Martínez‐Conde, S., Macknik, S. L., & Bocio, C. D. R. (2017) · Journal of Applied Physics · doi:10.1063/1.4987017 · Cited by 3

An Approach to Explain the Human Hyper-acuity: Applied to THz Imaging

Dominguez, O., Lizarraga, J. C., & Bocio, C. D. R. (2011) · International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) · doi:10.1109/cyberc.2011.105 · Cited by 2

Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses?

Op de Beeck, H. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.047 · Cited by 275

The effect of spatial smoothing on fMRI decoding of columnar-level organization with linear support vector machine

Misaki, M., Luh, W., & Bandettini, P. A. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.11.004 · Cited by 42

fMRI decoding: What does it reflect, and what can we learn

Merriam, E. P. (2014) · Journal of Vision · doi:10.1167/14.15.15

Comparing Clustered and Distributed Sampling for Random Subspace Brain Mapping

Björnsdotter, M., & Wessberg, J. (2011) · International Workshop on Pattern Recognition in NeuroImaging · doi:10.1109/prni.2011.17

Probing the mysterious underpinnings of multi-voxel fMRI analyses

de Beeck, H. O. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.072 · Cited by 66