Research Is Our Middle Name

At MIND, we perform fundamental and applied research in neuroscience, mathematics, and education. We’re focused on understanding how the brain learns—particularly research in cognitive and computational neuroscience, mathematics concepts in the neurophysiological and modeling research, and the analysis and data mining of ST Math program use data.

We’ve collaborated with researchers from universities and organizations around the country, including East China Normal University, Harvard University, Institute of Education Sciences, Johns Hopkins University, Medical University of South Carolina, North Carolina State University, One8 Foundation, SRI International, UC Irvine, UCLA, UC San Diego, University of Montreal, University of Pittsburgh, University of Victoria and WestED.

Explore Our Research & Publications Library

ST Math Neuroscience Other

Recipe for Success in Gaining Momentum with Math

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The Uncertain Role of Educational Software in Remediating Student Learning: Regression discontinuity evidence from three local education agencies

Sidrah Baloch, Thomas J. Kane, Ethan Scherer, Douglas O. Staiger
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The Art of Facilitation White Paper

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Infographic: Theory of Change

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Infographic: Game-Based

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Infographic: WestEd Study

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Randomized Trial of Elementary School ST Math Software Intervention Reveals Significant Efficacy

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Spatial-Temporal Math: Underlying Scientific Concepts and Mechanisms

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Ebook: Demanding More From EdTech Evaluations

Coulson, Andrew
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Ebook: What is Math Rigor?

Carlson, Jessica
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Ebook: Rethinking Student Engagement

Smith, Brandon
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Ebook: Digital Manipulative Toolkit

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Better Blends with Visual Game-Based Math

Nisbet, Nigel and Dana Luther
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Evaluation of MIND Research Institute's Spatial-Temporal (ST) Math Program in California

Wendt, Staci and John Rice, WestEd (2014)
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Improving fluid intelligence with training on working memory: a meta-analysis

Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2014)

Breaking of Icosahedra Symmetry: C60 to C70.

Bodner, M., Patera, J., Szajewska, M. (2014).
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Differential effect of motivational features on training improvements in school-based cognitive training

Katz, B., Jaeggi, S., Buschkuehl, M., Stegman, A., & Shah, P. (2014)
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Neural effects of short-term training on working memory

Buschkuehl, M., Hernandez-Garcia, L., Jaeggi, S.M., Bernard, J.A., & Jonides, J. (2014)
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The role of individual differences in cognitive training and transfer

Jaeggi, S.M., Buschkuehl, M., Shah, P., & Jonides, J. (2013)
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Evaluation of ST Math in the Los Angeles Unified School District

Wendt, Staci and John Rice, WestEd (2013)
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Neuronal effects following working memory training

Buschkuehl, M., Jaeggi, S. M., & Jonides, J. (2012)

Reduction of Seizure occurrence from exposure to auditory stimulation in individuals with neurological handicaps: A randomized controlled trial.

Bodner, M., Turner, RP, Schwacke, J., Bowers, C., Norment, C. (2012).
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Persistent neuronal firing in SI cortex during instructed delays between haptic stimuli in the absence of working-memory requirement.

Wang, L., Li, X., Hsiao, S., Bodner, M., Lenz, F. and Zhou Y-D. (2012).

Influence of neuroticism and conscientiousness on working memory training outcome

Studer-Luethi, B., Jaeggi, S. M., Buschkuehl, M., & Perrig, W. J. (2012)

Cogmed and working memory training—Current challenges and the search for underlying mechanisms

Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Shah, P. (2012)

Cognitive training for ADHD: The importance of individual differences

Shah, P., Buschkuehl, M., Jaeggi, S., & Jonides, J. (2012)

The effects of working memory resource depletion and training on sensorimotor adaptation

Anguera, J. A., Bernard, J. A., Jaeggi, S. M., Buschkuehl, M., Benson, B. L., Jennett, S., Humfleet, J., Reuter-Lorenz, P. A., Jonides, J., & Seidler, R. D. (2012)

A model for complex sequence learning and reproduction in neural populations

Verduzco, S., Bodner, M., Ermentrout, B. (2012).
J. Comput. Neurosci. 32: 403-423.

Behavioral choice-related neuronal activity in monkey primary somatosensory cortex in a haptic delay task

Wang, L., Li, X., Hsiao, S., Bodner, M., Lenz, F., and Zhou, Y. (2012).
Journal of cognitive neuroscience 24(7):1634-44.

Modeling neuropathologies as disruption of normal sequence generation in working memory networks.

Verduzco, S., Ermentrout, B., Bodner, M. (2012). Neural Networks.
DOI: 10.1016/j.neunet.2011.09.007

Affine reflection groups for tiling applications: Knot theory and DNA.

Bodner, M., Patera, J., Peterson, M. (2012).

Sequential Neural Processes in Abacus Mental Addition: An EEG and fMRI Case Study

Ku, Y., Hong, B., Zhou, W., Bodner, M., Zhou, Y. (2012)
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Computer-learner interaction: How careful design can scaffold learners

Kibrick, M., Richland, L. E., Martinez, M., & Bodner, M. (2011)

ALAS White Paper

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A scaffolding feature analysis of the spatial-temporal math software

Kibrick, M., Richland, L., Martinez, M., Bodner, M. (2010)

Spatial Temporal Mathematics at Scale: An Innovative and Fully Developed Paradigm to Boost Math Achievement among All Learners

Rutherford, T., et. al. (2010)

Working memory cell’s behavior may be explained by cross-regional networks with synaptic facilitation

Verduzco, S., Bodner, M., Ermentrout, B., Fuster, J.M., Zhou, Y. (2009).
PLoS ONE 4(8): e6399.

From working memory to epilepsy: Dynamics of facilitation and inhibition in a cortical Network

Verduzco-Flores S., Ermentrout B, Bodner M (2009).
Chaos 19: 1

Music training and mathematics achievement: A multi-year iterative project designed to enhance student learning

Martinez, M., Peterson, M., Bodner, M., Coulson, A., Vuong, S., Hu, W., Earl, T., and Shaw, G.L. (2008)

Invariants of solvable Lie algebras with triangular nilradicals and diagonal nilindependnet elements

Boyko V, Patera J, Popovych R (2008).
Linear Algebra Appl. 428: 834-854.

Edge detection algorithm based on DCT continuous extension technique

Asatryan DG, Patera J. (2008).

ED Week: Catching Up On Algebra

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The Orange County Register: Is This Irvine Man the Answer to the Country's Math Crisis?

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Variability in neuronal activity in primate cortex during working memory tasks

Shafi M, Zhou YD, Quintana J, Chow C, Fuster J, Bodner M (2007).
Neuroscience 146: 1082-1108.

Music + Math = Unprecedented Proficiency

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CA Educator: MIND in Costa Mesa

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Non-language-based instruction in mathematics

Peterson, M., Patera, J. (2006)

Direction selectivity of neurons in the striate cortex increases as stimulus contrast is decreased

Peterson, Li, Freeman (2006)

Origins of cross-orientation suppression in the visual cortex

Li, Thompson, Duong, Peterson, Freeman (2006).
Journal of Neurophysiology 96:1755-1764.

The Joy of Learning Math Through Music

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Near-Infrared Spectroscopy (NIRS) in Cognitive Neuroscience of the Primate Brain

Fuster JM, Guiou M, Ardestani A, Cannestra A, Sheth S, Zhou Y, Toga A, Bodner M (2005).
NeuroImage 26:215-220.

Separate spatial scales determine neural activity dependent changes in tissue oxygen within central visual pathways

Thompson, Peterson, Freeman (2005).

Cross-orientation suppression: monoptic and dichoptic mechanisms are different

Li, Peterson, Thompson, Duong, Freeman (2005).
Journal of Neurophysiology 94:1645-1650.

Patterned firing of parietal cells in a haptic working memory task

Bodner M, Shafi M, Zhou Y, Fuster JM (2005).
Eur. J. Neurosci. 21: 2538-2546.

MRI Study to Investigate Spatial Correlates of Music Listening and Spatial-Temporal Processing

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Data mining of mathematical reasoning data relevant to large innate spatial-temporal reasoning abilities in children: Implications for data driven education

Hu, W., Bodner, M., Jones, E.G., Peterson, M., Shaw, G.L. (2004)

Symmetry math video game used to train profound spatial-temporal reasoning abilities equivalent to dynamic knot theory

Bodner, M., Shaw, G.L. (2004)
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Dynamics of Innate Spatial-Temporal Learning Process: Data Driven Education Results Identify Universal Barriers to Learning

Hu, W., Bodner, M., Jones, E.G., Peterson, M., Shaw, G.L. (2004)
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The derivation of direction selectivity in the striate cortex

Peterson, Li, Freeman (2004).
Journal of Neuroscience 24:3583-3591.

High resolution neurometabolic coupling revealed by focal activation of visual neurons

Thompson, Peterson, Freeman (2004).
Nature Neuroscience 7:919-920.

fMRI study to investigate spatial correlates of music listening and spatial-temporal reasoning

Muftuler, T., Bodner, M., Shaw, G. L., and Nalcioglu, O. In 12th Annual Meeting of the International Society of Magnetic Resonance in Medicine. Processing ISSN 1545-4436 (2004).
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STAR Treatment Effect on Mathematics

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The Oblique Effect: a neural basis in the visual cortex

Li, Peterson, Freeman (2003).
Journal of Neurophysiology 90:204-217.

Single Neuron Activity and Tissue Oxygenation in the Cerebral Cortex

Thompson, Peterson, Freeman (2003).
Science 299:1070-1072.

The Music and Math Connection

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Reliable short-term memory in the trion model: toward a cortical language and grammar.

Sardesai M, Figge C, Bodner M, Crosby M, Hansen J, Quillfeldt JA, Landau S, Ostling A, Vuong S, Shaw GL (2001).
Biol. Cybern. 84: 173-182.

Cross-modal and cross-temporal association in neurons of frontal cortex

Fuster JM, Bodner M, Kroger JK (2000).
Nature 405: 347-351.

Enhanced Learning of Proportional Math

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Music Brain Research Chronology

Foundation For Universal Music Literacy Research Materials
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High-frequency transitions in cortical spike trains related to short-term memory

Bodner M, Zhou YD, Fuster JM (1998).
Neuroscience 86: 1083-1087.

Music Training and Spatial Temporal

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Binary mapping of cortical spike trains in short-term memory

Bodner M, Zhou YD, Fuster JM (1997).
J Neurophysiol. 77: 2219-2222.

Auditory memory cells in dorsolateral prefrontal cortex

Bodner M, Kroger J, Fuster JM (1996).
Neuroreport 7: 1905-1908.

Music and ST Performance

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Supersymmetry algebra of antisymmetric tensors with Green-Schwarz mechanisms

Bodner M, Villasante M (1990).
Phys Rev D 41: 3255-3258.

Calabi-Yau supermoduli space, field strength duality and mirror manifolds

Ferrara S, Bodner M, Cadavid AC (1990).
Phys. Lett B247: 25-30.

Model of cortical organization embodying a basis for a theory of information processing and memory recall

Shaw GL, Silverman DJ, Pearson JC (1985).
Proc. Natl. Acad. Science USA 82: 2364-2368.

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