Cognitive Neuroimaging and Memory Lab

PUBLISHED AND IN PRESS

Koch, G.E., & Coutanche, M.N. (2024). Context Reinstatement Requires a Schema Relevant Virtual Environment to Benefit Object Recall. Psychonomic Bulletin & Review. [PDF]

Coutanche, M.N., Sauter, J., Akpan, E., Buckser, R., Vincent, A., & Caulfield, M.K. (2023). Novel approaches to functional lateralization: Assessing information in activity patterns across hemispheres and more accurately identifying structural homologues. Neuropsychologia, 190, 108684. [PDF]

Koch, G.E., Libertus, M.E., Fiez, J.A., & Coutanche, M.N. (2023). Representations within the Intraparietal Sulcus Distinguish Numerical Tasks and Formats. Journal of Cognitive Neuroscience, 35(2), 226–240. [PDF]

Ren, X., Liu, R., Coutanche, M.N., Fiez, J.A., & Libertus, M.E. (2022). Numerical Estrangement and Integration between Symbolic and Non-symbolic Numerical Information: Task-Dependence and Its Link to Math Abilities in Adults. Cognition, 224, 105067. [PDF]

Hallion, L.S., Wright, A.G.C., Coutanche, M.N., Joormann, J., & Kusmierski, S.N.* (2022). A Five Factor Model of Perseverative Thought. Journal of Psychopathology and Clinical Science, 131(3), 235–252.

Coutanche, M.N. (2022). The Link Between Conceptual and Perceptual Information in Memory. In T. Brady and W. Bainbridge (Eds.), Visual Memory. Abingdon: Routledge. [PDF]

Lee, S.-H., Liu, X.L., & Coutanche, M.N. (2021). Editorial: Neural Mechanisms of Memory Retrieval and its Links to Other Cognitive Processes. Frontiers in Human Neuroscience, 15. [LINK]

Ren, X., & Coutanche, M.N. (2021). Sleep reduces the semantic coherence of memory recall: An application of latent semantic analysis to investigate memory reconstruction. Psychonomic Bulletin & Review. [PDF]

Koch, G.E., Akpan, E., & Coutanche, M.N. (2020). Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network. Learning & Memory, 27(12), 503-509. [PDF]

Bruett, H., Calloway, R.C., Tokowicz, N., & Coutanche, M.N. (2020). Neural pattern similarity across concept exemplars predicts memory after a long delay. NeuroImage, 219, 1-9. [PDF]

Coutanche, M.N., Koch, G.E., & Paulus, J.P. (2020). Influences on memory for naturalistic visual episodes: Sleep, familiarity, and traits differentially affect forms of recall. Learning & Memory, 27, 284-291. [PDF] [journal cover]

Koch, G.E., Paulus, J.P., & Coutanche, M.N. (2020). Neural patterns are more similar across individuals during successful memory encoding than during failed memory encoding. Cerebral Cortex, 30(7), 2872-3883. [PDF]

Coutanche, M.N., Solomon, S.H., & Thompson-Schill, S.L. (2020. Conceptual combination. In D. Poeppel, G. R. Mangun and M. S. Gazzaniga (Eds.), The Cognitive Neurosciences, 6th edition. Boston, MA: MIT Press. [PDF]

Coutanche, M.N., & Hallion, L.S. (2020). Machine learning for clinical psychology and clinical neuroscience. In A.G.C. Wright and M.N. Hallquist (Eds.), The Cambridge Handbook of Research Methods in Clinical Psychology. Cambridge, UK: Cambridge University Press. [PDF]

Popov, V., Zhang, Q., Koch, G.E., Calloway, R.C., & Coutanche, M.N. (2019). Semantic knowledge influences whether novel episodic associations are represented symmetrically or asymmetrically. Memory & Cognition, 47(8), 1567-1581. [PDF] 

- Pre-registered (https://osf.io/rdsw5); materials, data, code online (https://osf.io/72amw)

Coutanche, M.N. (2019). Addressing misconceptions of Fast Mapping in adults. Invited commentary. Cognitive Neuroscience, 10(4), 226–228. [PDF]

Carlos, B.J., Hirshorn, E.A., Durisko, C., Fiez, J.A., & Coutanche, M.N. (2019). Word inversion sensitivity as a marker of visual word form area lateralization: An application of a novel multivariate measure of laterality. NeuroImage, 191, 493-502. [PDF]

Martin, L., Durisko, C., Moore, M.W., Coutanche, M.N., Chen, D., & Fiez, J.A. (2019). The VWFA is the home of orthographic learning when house images are used as letters. eNeuro, 6(1), ENEURO.0425-17.2019. [LINK]

Coutanche, M.N., & Thompson-Schill, S.L. (2019). Neural activity in human visual cortex is transformed by learning real world size. NeuroImage, 186, 570-576. [LINK]

Bruett, H., Fang, X., Kamaraj, D.C., Haley, E., & Coutanche, M.N. (2018). Expertise moderates incidentally learned associations between words and images. Frontiers in Psychology, 9. [LINK]

Coutanche, M.N., & Koch, G.E. (2018). Creatures great and small: Real-world size of animals predicts visual cortex representations beyond taxonomic category. NeuroImage, 183, 627-634. [LINK]

Anzellotti, S.*, & Coutanche, M.N.* (2018). Beyond Functional Connectivity: Investigating Networks of Multivariate Representations. Trends in Cognitive Sciences, 22(3), 258–269. [*equal contributions] [LINK]

Coutanche, M.N., & Paulus, J.P. (2018). An empirical analysis of popular press claims regarding linguistic change in President Donald J. Trump. Frontiers in Psychology, 9. [LINK]

Coutanche, M.N., & Koch, G.E. (2017). Variation across individuals and items determine learning outcomes from fast mapping. Neuropsychologia, 106, 187–193. [LINK]

Coutanche, M.N., Solomon, S.H., & Thompson-Schill, S.L. (2016). A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes. Neuropsychologia, 82, 134–141. [PDF]

Coutanche, M.N., & Thompson-Schill, S.L. (2015). Rapid consolidation of new knowledge in adulthood via fast mapping. Trends in Cognitive Sciences, 19(9), 486–488. [LINK] 

Coutanche, M.N., & Thompson-Schill, S.L. (2015). Creating concepts from converging features in human cortex. Cerebral Cortex, 25(9), 2584-2593. [PDF]  [MEDIA]

Coutanche, M.N., & Thompson-Schill, S.L. (2014). Fast mapping rapidly integrates information into existing memory networks. Journal of Experimental Psychology: General, 143(6), 2296-2303. [PDF]

Coutanche, M.N., & Thompson-Schill, S.L. (2014). Using informational connectivity to measure the synchronous emergence of fMRI multi-voxel information across time. Journal of Visualized Experiments, (89). [LINK]

Coutanche, M.N. (2013). Distinguishing multi-voxel patterns and mean activation: Why, how, and what does it tell us? Cognitive, Affective & Behavioral Neuroscience, 13(3), 667–673. [PDF]

Coutanche, M.N., Gianessi, C.A., Chanales, A.J.H., Willison, K.W., & Thompson-Schill, S.L. (2013). The role of sleep in forming a memory representation of a two-dimensional space. Hippocampus, 23(12), 1189-1197. [PDF]

Coutanche, M.N., & Thompson-Schill, S.L. (2013). Informational Connectivity: Identifying synchronized discriminability of multi-voxel patterns across the brain. Frontiers in Human Neuroscience, 7:15, 1-14. [PDF]  [Informational Connectivity Toolbox]

Coutanche, M.N., & Thompson-Schill, S.L. (2012). Reversal without remapping: What we can (and cannot) conclude about learned associations from training-induced behavior changes. Perspectives on Psychological Science, 7(2), 118–134. [PDF]  [MEDIA]

Coutanche, M.N., & Thompson-Schill, S.L. (2012). The advantage of brief fMRI acquisition runs for multi-voxel pattern detection across runs. NeuroImage, 61(4), 1113–1119. [PDF]

Coutanche, M.N., Thompson-Schill, S.L., & Schultz, R.T. (2011). Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity. NeuroImage, 57(1), 113–123. [PDF]

Kylliäinen, A., Wallace, S., Coutanche, M.N., Leppänen, J.M., Cusack, J., Bailey, A. J., & Hietanen, J.K. (2012). Affective-motivational brain responses to direct gaze in children with autism spectrum disorder. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 53(7), 790–797.

Casey, J.P., Magalhaes, T., Conroy, J.M., Regan, R., Shah, N., Anney, R., Shields, D.C., et al. (2012). A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder. Human Genetics, 131(4), 565-579.