Who Is Using It?
If you are using PyMVPA or have published a study employing it, please leave a
comment at the bottom of this page, if you want to be listed here as well.
Institutions Where PyMVPA Is Known To Be Used
- Center for Mind/Brain Sciences, University of Trento, Italy
- Department of Psychological and Brain Sciences, Dartmouth College, USA
- Thayer School of Engineering, Dartmouth College, USA
- Department of Psychology & Neuroscience, Duke University, USA
- Fondazione Bruno Kessler, Italy
- Department of Brain and Cognitive Sciences, Massachusetts Institute of
Technology, USA
- Department of Neurology, Max Planck Insititute for Neurological Research,
Cologne, Germany
- MRC Cognition and Brain Sciences Unit, Cambridge, UK
- Department of Experimental Psychology, Otto-von-Guericke-University
Magdeburg, Germany
- Donders Center for Cognition, Radboud University Nijmegen, Netherlands
- Department of Psychology, University of California at Los Angeles, USA
- Center for Functional Neuroimaging, University of Pennsylvania, USA
- Brain & Creativity Institute, University of Southern California, USA
- Imaging Research Center, University of Texas at Austin, USA
- Department of Psychiatry, University of Wisconsin, Madison, USA
- Department of Psychology, Yale University, USA
...and many more (stopped extending this list in 2012).
Studies employing PyMVPA
2016
- Guntupalli et al., Cerebral Cortex (2016).
A Model of Representational Spaces in Human Cortex
- Watson et al., NeuroImage (2016). Spatial properties of objects predict
patterns of neural response in the ventral visual pathway
- Watson et al., NeuroImage (2016). Patterns of neural response in
scene-selective regions of the human brain are affected by low-level
manipulations of spatial frequency
2015
- Floren et al., Frontiers in Human Neuroscience (2015). Accurately decoding
visual information from fMRI data obtained in a realistic virtual environment
- Merkel et al, NeuroImage (2015). Neural correlates of multiple object
tracking strategies
- Pogoda, et al., Brain and Cognition (2015). Multivariate representation of
food preferences in the human brain
- Emmerling et al., NeuroImage (2015). Decoding the direction of imagined
visual motion using 7 T ultra-high field fMRI
- Danelli et al., Frontiers in Psychology (2015). Framing effects reveal
discrete lexical-semantic and sublexical procedures in reading: an fMRI study
- Schlegel et al., NeuroImage (2015). The artist emerges: Visual art learning
alters neural structure and function
- Maass et al., ELife (2015). Functional subregions of the human entorhinal
cortex
- Sha et al., Journal of Cognitive Neuroscience (2015). The Animacy Continuum
in the Human Ventral Vision Pathway
- Greisel et al., arXiv (2015). Photometric redshifts and
model spectral energy distributions of galaxies from the SDSS-III BOSS DR10
data
- McNamee et al., Journal of Neuroscience (2015). Characterizing
the associative content of brain structures involved in habitual and
goal-directed actions in humans: a multivariate fMRI study
- Cole et al., Cerebral Cortex (2015). The behavioral relevance
of task information in human prefrontal cortex
- Guo and Meng, NeuroImage (2015). The encoding of
category-specific versus nonspecific information in human inferior temporal
cortex
2014
- Rueschemeyer et al., Journal of Cognitive Neuroscience (2014). Observing, performing, and understanding actions: Revisiting
the role of cortical motor areas in processing of action words.
- Hanke et al., Scientific Data (2014). A high-resolution
7-Tesla fMRI dataset from complex natural stimulation with an audio movie.
- Helfinstein et al., PNAS (2014). Predicting risky choices from
brain activity patterns.
- Sha et al., Journal of Cognitive Neuroscience (2014). The
animacy continuum in the human ventral vision pathway
- Schönwiesner et al., Cerebral Cortex (2014). Parcellation of
Human and Monkey core auditory cortex with fMRI pattern classification and
objective detection of tonotopic gradient reversals
- Klein and Zatorre, Cerebral Cortex (2014). Representations of
invariant musical categories are decodable by pattern analysis of locally
distributed BOLD responses in superior temporal and intraparietal sulci
- Huffman and Start, Hippocampus (2014). Multivariate pattern
analysis of the human medial temporal lobe revealed representationally
categorical cortex and representationally agnostic hippocampus
- Schlegel et al., NeuroImage (2014). The artist emerges:
Visual art learning alters neural structure and function
- Jimura et al, Frontiers in Human Neuroscience (2014). The
neural basis of task switching changes with skill acquisition
- Lee and McCarthy, Cerebral Cortex (2014). Functional
Heterogeneity and Convergence in the Right Temporoparietal Junction
- Watson et al., NeuroImage (2014). Patterns of response to
visual scenes are linked to the low-level properties of the image
- Schlichting and Preston, PNAS (2014). Memory reactivation
during rest supports upcoming learning of related content
- Mittner et al., Journal of Neuroscience (2014). When the
brain takes a break: A model-based analysis of mind wandering
- Wang et al., Journal of Neuroscience (2014). Distributed
Value Representation in the Medial Prefrontal Cortex during Intertemporal
Choices
- Parkinson et al., Journal of Neuroscience (2014). A common
cortical metric for spatial, temporal, and social distance
- Kim et al., Frontiers in Human Neuroscience (2014). Discriminable spatial patterns of activation for faces and bodies
in the fusiform gyrus
- Pollmann et al., NeuroImage (2014). The right
temporo-parietal junction contributes to visual feature binding
- Fogelson et al., Frontiers in Psychology (2014). Unconscious
neural processing differs with method used to render stimuli invisible
- Plitt et al., Social Neuroscience (2014). Are corporations
people too? The neural correlates of moral judgments about companies and
individuals
- Kubilius et al., Journal of Vision (2014). Encoding of
configural regularity in the human visual system
- Heitmeyer et al., Automated Software Engineering (2014). Building high assurance human-centric decision systems
2013
- Anderson et al., Clinical Neuropsychology (2013). 7T fMRI
reveals feasibility of covert visual attention-based brain–computer
interfacing with signals obtained solely from cortical grey matter accessible
by subdural surface electrodes
- Manelis and Reder, Cerebral Cortex (2013).
he who is well prepared has half won the battle: an fMRI study of task
preparation
- Kohler et al., NeuroImage (2013). Pattern classification
precedes region-average hemodynamic response in early visual cortex.
- Hassabis et al., Cerebral Cortex (2013). Imagine all the
people: How the brain creates and uses personality models to predict behavior.
- Smith et al., PNAS (2013). Decoding the anatomical network
of spatial attention.
- Lescroart and Biederman, Cerebral Cortex (2013). Cortical
representation of medial axis structure.
- Strnad et al., PloS one (2013). Multivoxel Pattern Analysis
Reveals Auditory Motion Information in MT+ of Both Congenitally Blind and
Sighted Individuals.
- Baumgartner et al., NeuroImage (2013). Evidence for feature
binding in the superior parietal lobule.
- McNamee et al., Nature Neuroscience (2013). Category-dependent
and category-independent goal-value codes in human ventromedial prefrontal
cortex.
- Liang, et al., Nature Communications (2013). Primary sensory
cortices contain distinguishable spatial patterns of activity for each sense.
2012
- Viswanathan et al., arXiv preprint (2012). On the geometric
structure of fMRI searchlight-based information maps.
- Farrell et al., Biochemistry (2012). Toward Fast Determination
of Protein Stability Maps: Experimental and Theoretical Analysis of Mutants
of a Nocardiopsis prasina Serine Protease.
- Sobhani et al., PloS one (2012). Interpersonal liking
modulates motor-related neural regions.
- Kingson et al., Journal of Neuroscience (2012). Sight and
Sound Converge to Form Modality-Invariant Representations in Temporoparietal
Cortex.
- Kaplan and Meyer, NeuroImage (2012). Multivariate pattern
analysis reveals common neural patterns across individuals during touch
observation.
- Carter et al., Science (2012). A distinct role of the
temporal-parietal junction in predicting socially guided decisions.
- van der Laan, PloS one (2012). Appearance matters: neural
correlates of food choice and packaging aesthetics.
- Merrill et al., Frontiers in Psychology (2012).
Perception of words and pitch patterns in song and speech.
- Ekman et al., PNAS (2012). Predicting errors from
reconfiguration patterns in human brain networks.
- Hiroyuki et al., Frontiers in Neuroinformatics (2012):
Decoding Semantics across fMRI sessions with Different Stimulus Modalities:
A practical MVPA Study.
- Gorlin et al., PNAS (2012): Imaging prior information in the
brain.
- Raizada and Connolly, Cognitive Neuroscience (2012): What
makes different people’s representations alike: neural similarity-space
solves the problem of across-subject fMRI decoding.
Preprint PDF and code are available
- Connolly et al., Journal of Neuroscience (2012):
Representation of Biological Classes in the Human Brain.
2011
- Cole et al, Frontiers in Human Neuroscience (2011). Rapid
Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal
Cortex.
- Vickery et al, Neuron (2011). Ubiquity and Specificity of
Reinforcement Signals throughout the Human Brain.
- Duff et al., NeuroImage (2011): Task-driven ICA feature
generation for accurate and interpretable prediction using fMRI.
- Haxby et al., Neuron (2011): A common, high-dimensional model
of the representational space in human ventral temporal cortex.
- Jimura and Poldrack, Neuropsychologia (2011): Analyses of
regional-average activation and multivoxel pattern information tell
complementary stories
- Carlin et al., Current Biology (2011): A head view-invariant
representation of gaze direction in anterior superior temporal sulcus
- Kaunitz et al., Frontiers in Perception Science (2011):
Intercepting the first pass: rapid categorization is suppressed for unseen stimuli.
- Carlin et al., Cerebral Cortex (2011):
Direction-Sensitive Codes for Observed Head Turns in Human Superior Temporal
Sulcus.
- Kubilius et al., Psychological Science (2011):
Emergence of perceptual gestalts in the human visual cortex: The case of the
configural superiority effect.
Complete suite of sources from stimuli delivery (PsychoPy) to data analysis (PyMVPA)
is available
- Manelis et al., Cerebral Cortex (2011): Dynamic Changes In
The Medial Temporal Lobe During Incidental Learning Of Object–Location
Associations.
- Meyer et al., Cerebral Cortex (2011): Seeing Touch Is
Correlated with Content-Specific Activity in Primary Somatosensory Cortex.
Articles referring to PyMVPA
2014
- Haxby et al, Annual review of neuroscience (2014). Decoding
neural representational spaces using multivariate pattern analysis
- Avants et al, NeuroImage (2014). Sparse canonical
correlation analysis relates network-level atrophy to multivariate cognitive
measures in a neurodegenerative population