The promise of awake behaving infant fMRI as a deep measure of cognition

Meta-Analysis of Theory-of-Mind Development: The Truth about False Belief

Wellman, H. M., Cross, D., & Watson, J. (2001) · Child Development · doi:10.1111/1467-8624.00304 · Cited by 4,476 · see citing works

Predicting Human Brain Activity Associated with the Meanings of Nouns

Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K.-M., Malave, V. L., Mason, R. A., & Just, M. A. (2008) · Science · doi:10.1126/science.1152876 · Cited by 1,180 · see citing works

Functional neuroimaging of speech perception in infants

Dehaene-Lambertz, G., Dehaene, S., & Hertz-Pannier, L. (2002) · Science · doi:10.1126/science.1077066 · Cited by 1,113 · see citing works

Prenatal maternal speech influences newborns' perception of speech sounds

DeCasper, A. J., & Spence, M. J. (1986) · Infant Behavior and Development · doi:10.1016/0163-6383(86)90025-1 · Cited by 1,106 · see citing works

A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain

Huth, A. G., Nishimoto, S., Vu, A. T., & Gallant, J. L. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.014 · Cited by 901 · see citing works

Evidence for grid cells in a human memory network

Doeller, C. F., Barry, C., & Burgess, N. (2010) · Nature · doi:10.1038/nature08704 · Cited by 828 · see citing works

How to Construct a Minimal Theory of Mind

Butterfill, S., & Apperly, I. A. (2013) · Mind & Language · doi:10.1111/mila.12036 · Cited by 643 · see citing works

On the lack of evidence that non-human animals possess anything remotely resembling a ‘theory of mind’

Penn, D. C., & Povinelli, D. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2006.2023 · Cited by 643 · see citing works

Development of the Hippocampal Cognitive Map in Preweanling Rats

Wills, T. J., Cacucci, F., Burgess, N., & O'Keefe, J. (2010) · Science · doi:10.1126/science.1188224 · Cited by 616 · see citing works

A multifactor model of infant preferences for novel and familiar stimuli.

Hunter, M. A., & Ames, E. W. (1988) · Cited by 555 · see citing works

What's in a look?

Aslin, R. Ν. (2006) · Developmental Science · doi:10.1111/j.1467-7687.2007.00563.x · Cited by 519 · see citing works

Superior Temporal Sulcus—It's My Area: Or Is It?

Hein, G., & Knight, R. T. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20148 · Cited by 486 · see citing works

Scene Perception in the Human Brain

Epstein, R. A., & Baker, C. I. (2019) · Annual Review of Vision Science · doi:10.1146/annurev-vision-091718-014809 · Cited by 350 · see citing works

Keep it real: rethinking the primacy of experimental control in cognitive neuroscience

Nastase, S. A., Goldstein, A., & Hasson, U. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117254 · Cited by 349 · see citing works

Development of the social brain from age three to twelve years

Richardson, H., Lisandrelli, G., Riobueno‐Naylor, A., & Saxe, R. R. (2018) · Nature Communications · doi:10.1038/s41467-018-03399-2 · Cited by 335 · see citing works

A Collaborative Approach to Infant Research: Promoting Reproducibility, Best Practices, and Theory‐Building

Frank, M. C., Bergelson, E., Bergmann, C., Cristià, A., Floccia, C., Gervain, J., Hamlin, J. K., Hannon, E. E., Struhl, M. K., Levelt, C. C., et al. (2017) · Infancy · doi:10.1111/infa.12182 · Cited by 333 · see citing works

Toward a universal decoder of linguistic meaning from brain activation

Pereira, F., Lou, B., Pritchett, B., Ritter, S., Gershman, S. J., Kanwisher, N., Botvinick, M., & Fedorenko, E. (2018) · Nature Communications · doi:10.1038/s41467-018-03068-4 · Cited by 324 · see citing works

Organization of high-level visual cortex in human infants

Deen, B., Richardson, H., Dilks, D. D., Takahashi, A., Keil, B. R., Wald, L. L., Kanwisher, N., & Saxe, R. R. (2017) · Nature Communications · doi:10.1038/ncomms13995 · Cited by 312 · see citing works

Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging

Vanderwal, T., Eilbott, J. A., & Castellanos, F. X. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.10.004 · Cited by 270 · see citing works

Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance

Schapiro, A. C., McDevitt, E. A., Rogers, T. T., Mednick, S. C., & Norman, K. A. (2018) · Nature Communications · doi:10.1038/s41467-018-06213-1 · Cited by 267 · see citing works

Linking pattern completion in the hippocampus to predictive coding in visual cortex

Hindy, N. C., Ng, F. Y., & Turk-Browne, N. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4284 · Cited by 246 · see citing works

Human hippocampus represents space and time during retrieval of real-world memories

Nielson, D. M., Smith, T. A., Sreekumar, V., Dennis, S. J., & Sederberg, P. B. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507104112 · Cited by 226 · see citing works

Place versus response as the basis of spatial errors made by young infants

Bremner, J. G., & Bryant, P. (1977) · Journal of Experimental Child Psychology · doi:10.1016/0022-0965(77)90082-0 · Cited by 223 · see citing works

Computational approaches to fMRI analysis

Cohen, J. D., Daw, N. D., Engelhardt, B. E., Hasson, U., Li, K., Niv, Y., Norman, K. A., Pillow, J. W., Ramadge, P. J., Turk‐Browne, N. B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4499 · Cited by 222 · see citing works

Infantile Amnesia: A Critical Period of Learning to Learn and Remember

Alberini, C. M., & Travaglia, A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0324-17.2017 · Cited by 209 · see citing works

Invited Commentary: Interpreting failed replications of early false-belief findings: Methodological and theoretical considerations

Renée Baillargeon, B., Buttelmann, D., & Southgate, V. (2018) · Cognitive Development · doi:10.1016/j.cogdev.2018.06.001 · Cited by 188 · see citing works

Memory-guided attention: control from multiple memory systems

Hutchinson, J. B., & Turk‐Browne, N. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.003 · Cited by 171 · see citing works

Nature and origins of the lexicon in 6-mo-olds

Bergelson, E., & Aslin, R. (2017) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1712966114 · Cited by 156 · see citing works

Constraints on Statistical Learning Across Species

Santolin, C., & Saffran, J. R. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.10.003 · Cited by 156 · see citing works

Implicit and explicit false belief development in preschool children

Wiesmann, C. G., Friederici, A. D., Singer, T., & Steinbeis, N. (2016) · Developmental Science · doi:10.1111/desc.12445 · Cited by 152 · see citing works

Infants’ coding of location in continuous space

Newcombe, N. S., Huttenlocher, J., & Learmonth, A. E. (1999) · Infant Behavior and Development · doi:10.1016/s0163-6383(00)00011-4 · Cited by 142 · see citing works

Symbouki: a meta‐analysis on the emergence of sound symbolism in early language acquisition

Fort, M., Lammertink, I. L., Sharon Peperkamp, A., Guevara‐Rukoz, A., Fikkert, P., & Tsuji, S. (2018) · Developmental Science · doi:10.1111/desc.12659 · Cited by 127 · see citing works

Babies and Brains: Habituation in Infant Cognition and Functional Neuroimaging

Chun, M. M. (2008) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.016.2008 · Cited by 116 · see citing works

BOLD Response Selective to Flow-Motion in Very Young Infants

Biagi, L., Crespi, S. A., Tosetti, M., & Morrone, M. C. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002260 · Cited by 103 · see citing works

childes-db: A flexible and reproducible interface to the child language data exchange system

Sánchez, A., Meylan, S. C., Braginsky, M., MacDonald, K., Yurovsky, D., & Frank, M. C. (2019) · Behavior Research Methods · doi:10.3758/s13428-018-1176-7 · Cited by 99 · see citing works

Evidence of hippocampal learning in human infants

Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2021) · Current Biology · doi:10.1016/j.cub.2021.04.072 · Cited by 97 · see citing works

Statistical prediction of the future impairs episodic encoding of the present

Sherman, B. E., & Turk‐Browne, N. B. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013291117 · Cited by 93 · see citing works

Re-imagining fMRI for awake behaving infants

Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2020) · Nature Communications · doi:10.1038/s41467-020-18286-y · Cited by 92 · see citing works

Developmental progression of looking and reaching performance on the A-not-B task.

Cuevas, K., & Bell, M. A. (2010) · Developmental Psychology · doi:10.1037/a0020185 · Cited by 91 · see citing works

Distributed Patterns of Reactivation Predict Vividness of Recollection

St‐Laurent, M., Abdi, H., & Buchsbaum, B. R. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00839 · Cited by 89 · see citing works

Navigation and the developing brain

Newcombe, N. S. (2019) · Journal of Experimental Biology · doi:10.1242/jeb.186460 · Cited by 87 · see citing works

Origins of the concepts cause, cost, and goal in prereaching infants

Liu, S., Brooks, N. B., & Spelke, E. S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904410116 · Cited by 85 · see citing works

The ontogeny of memory persistence and specificity

Ramsaran, A. I., Schlichting, M. L., & Frankland, P. W. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.09.002 · Cited by 82 · see citing works

A decade of infant neuroimaging research: What have we learned and where are we going?

Azhari, A., Truzzi, A., Neoh, M. J. Y., Balagtas, J. P. M., Tan, H. H., Goh, P. P., Ang, X. A., Setoh, P., Rigo, P., Bornstein, M. H., et al. (2019) · Infant Behavior and Development · doi:10.1016/j.infbeh.2019.101389 · Cited by 78 · see citing works

Mapping between fMRI responses to movies and their natural language annotations

Vodrahalli, K., Chen, P.-H., Liang, Y., Baldassano, C. A., Chen, J., Yong, E., Honey, C. J., Hasson, U., Ramadge, P. J., Norman, K. A., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.042 · Cited by 75 · see citing works

Attention recruits frontal cortex in human infants

Ellis, C. T., Skalaban, L. J., Yates, T. S., & Turk‐Browne, N. B. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021474118 · Cited by 75 · see citing works

Memory-Related Eye Movements Challenge Behavioral Measures of Pattern Completion and Pattern Separation

Molitor, R. J., Ko, P. C., Hussey, E., & Ally, B. A. (2014) · Hippocampus · doi:10.1002/hipo.22256 · Cited by 72 · see citing works

Two systems for thinking about others’ thoughts in the developing brain

Wiesmann, C. G., Friederici, A. D., Singer, T., & Steinbeis, N. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1916725117 · Cited by 72 · see citing works

Learning in Infancy Is Active, Endogenously Motivated, and Depends on the Prefrontal Cortices

Raz, G., & Saxe, R. R. (2020) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-084841 · Cited by 71 · see citing works

Rapid Invariant Encoding of Scene Layout in Human OPA

Henriksson, L., Mur, M., & Kriegeskorte, N. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.014 · Cited by 69 · see citing works

The Comprehension Boost in Early Word Learning: Older Infants Are Better Learners

Bergelson, E. (2020) · Child Development Perspectives · doi:10.1111/cdep.12373 · Cited by 69 · see citing works

How Does Children’s Theory of Mind Become Explicit? A Review of Longitudinal Findings

Sodian, B., Kristen, S., & Kloo, D. (2020) · Child Development Perspectives · doi:10.1111/cdep.12381 · Cited by 69 · see citing works

The importance of using multiple outcome measures in infant research

LoBue, V., Reider, L. B., Kim, E., Burris, J. L., Oleas, D. S., Buss, K. A., Pérez‐Edgar, K. E., & Field, A. P. (2020) · Infancy · doi:10.1111/infa.12339 · Cited by 68 · see citing works

Distinct representations of spatial and categorical relationships across human scene-selective cortex

Persichetti, A. S., & Dilks, D. D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903057116 · Cited by 56 · see citing works

The Growth of Children's Semantic and Phonological Networks: Insight From 10 Languages

Fourtassi, A., Bian, Y., & Frank, M. C. (2020) · Cognitive Science · doi:10.1111/cogs.12847 · Cited by 55 · see citing works

Infant fMRI: A Model System for Cognitive Neuroscience

Ellis, C. T., & Turk‐Browne, N. B. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.005 · Cited by 52 · see citing works

Replication studies of implicit false belief with infants and toddlers

Sabbagh, M. A., & Paulus, M. (2018) · Cognitive Development · doi:10.1016/j.cogdev.2018.07.003 · Cited by 52 · see citing works

The Development of Relational Landmark Use in Six- to Twelve-Month-Old Infants in a Spatial Orientation Task

Lew, A. R., Bremner, J. G., & Lefkovitch, L. P. (2000) · Child Development · doi:10.1111/1467-8624.00222 · Cited by 49 · see citing works

The Development of Lexical–Semantic Networks in Infants and Toddlers

Wojcik, E. H. (2017) · Child Development Perspectives · doi:10.1111/cdep.12252 · Cited by 44 · see citing works

Memory-related hippocampal activation in the sleeping toddler

Prabhakar, J., Johnson, E. G., Nordahl, C. W., & Ghetti, S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1805572115 · Cited by 43 · see citing works

Emergence and organization of adult brain function throughout child development

Yates, T. S., Ellis, C. T., & Turk‐Browne, N. B. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117606 · Cited by 40 · see citing works

Predicting eye movement patterns from fMRI responses to natural scenes

O’Connell, T. P., & Chun, M. M. (2018) · Nature Communications · doi:10.1038/s41467-018-07471-9 · Cited by 39 · see citing works

Differential Representations of Perceived and Retrieved Visual Information in Hippocampus and Cortex

Lee, S., Kravitz, D. J., & Baker, C. I. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy325 · Cited by 35 · see citing works

Another Look at Looking Time: Surprise as Rational Statistical Inference

Sim, Z. L., & Xu, F. (2018) · Topics in Cognitive Science · doi:10.1111/tops.12393 · Cited by 32 · see citing works

Continuity in the neural system supporting children’s theory of mind development: Longitudinal links between task-independent EEG and task-dependent fMRI

Bowman, L. C., Dodell‐Feder, D., Saxe, R. R., & Sabbagh, M. A. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100705 · Cited by 29 · see citing works

Using pupillometry to investigate predictive processes in infancy

Zhang, F., & Emberson, L. L. (2020) · Infancy · doi:10.1111/infa.12358 · Cited by 27 · see citing works

Neural Patterns are More Similar across Individuals during Successful Memory Encoding than during Failed Memory Encoding

Koch, G. E., Paulus, J. P., & Coutanche, M. N. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa003 · Cited by 23 · see citing works

Neuroimaging the sleeping brain: Insight on memory functioning in infants and toddlers

Johnson, E. G., Prabhakar, J., Mooney, L. N., & Ghetti, S. (2020) · Infant Behavior and Development · doi:10.1016/j.infbeh.2020.101427 · Cited by 21 · see citing works

Infant memory

Bauer, P. J., Souci, P. S., & Pathman, T. (2010) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.38 · Cited by 19 · see citing works

Contrasting behavioral looking procedures: a case study on infant speech segmentation

Junge, C., Everaert, E., Porto, L., Fikkert, P., de Klerk, M., Keij, B., & Benders, T. (2020) · Infant Behavior and Development · doi:10.1016/j.infbeh.2020.101448 · Cited by 17 · see citing works

Oh, Behave!

Adolph, K. E. (2020) · Infancy · doi:10.1111/infa.12336 · Cited by 16 · see citing works

Brain reading and behavioral methods provide complementary perspectives on the representation of concepts

Bauer, A. J., & Just, M. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.022 · Cited by 9 · see citing works

Applications of Federated Learning; Taxonomy, Challenges, and Research Trends

Shaheen, M., Farooq, M. S., Umer, T., & Kim, B.-S. (2022) · Electronics · doi:10.3390/electronics11040670 · Cited by 157 · see citing works

Consciousness in the cradle: on the emergence of infant experience

Bayne, T., Frohlich, J., Cusack, R., Moser, J., & Naci, L. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.08.018 · Cited by 106 · see citing works

Evidence of hippocampal learning in human infants

Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2021) · Current Biology · doi:10.1016/j.cub.2021.04.072 · Cited by 97 · see citing works

Visual category representations in the infant brain

Xie, S., Hoehl, S., Moeskops, M., Kayhan, E., Kliesch, C., Turtleton, B., Köster, M., & Cichy, R. M. (2022) · Current Biology · doi:10.1016/j.cub.2022.11.016 · Cited by 58 · see citing works

Hippocampal encoding of memories in human infants

Yates, T. S., Fel, J., Choi, D., Trach, J. E., Behm, L., Ellis, C. T., & Turk‐Browne, N. B. (2025) · Science · doi:10.1126/science.adt7570 · Cited by 54 · see citing works

Editorial overview: Deep imaging of the individual brain: past, practice, and promise

Gratton, C., & Braga, R. M. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.06.011 · Cited by 48 · see citing works

Not with a “zap” but with a “beep”: Measuring the origins of perinatal experience

Frohlich, J., Bayne, T., Crone, J. S., Dallavecchia, A., Kirkeby-Hinrup, A., Mediano, P. A. M., Moser, J., Talar, K., Gharabaghi, A., & Preissl, H. T. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120057 · Cited by 33 · see citing works

Mind-reading in AI and neurotechnology: evaluating claims, hype, and ethical implications for neurorights

Gilbert, F., & Russo, I. (2024) · AI and Ethics · doi:10.1007/s43681-024-00514-6 · Cited by 38 · see citing works

Has the concept of systems consolidation outlived its usefulness? Identification and evaluation of premises underlying systems consolidation

Moscovitch, M., & Gilboa, A. (2022) · Faculty Reviews · doi:10.12703/r/11-33 · Cited by 27 · see citing works

Real-time motion monitoring improves functional MRI data quality in infants

D’Andrea, C. B., Kenley, J. K., Montez, D. F., Mirro, A. E., Miller, R. L., Earl, E., Koller, J. M., Sung, S., Yacoub, E. S., Elison, J. T., et al. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101116 · Cited by 20 · see citing works

Infant neuroscience: how to measure brain activity in the youngest minds

Turk‐Browne, N. B., & Aslin, R. Ν. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.02.003 · Cited by 19 · see citing works

Cortical Face-Selective Responses Emerge Early in Human Infancy

Kosakowski, H. L., Cohen, M. A., Herrera, L., Nichoson, I. F., Kanwisher, N., & Saxe, R. R. (2024) · eNeuro · doi:10.1523/eneuro.0117-24.2024 · Cited by 23 · see citing works

Face processing in the infant brain after pandemic lockdown

Yates, T. S., Ellis, C. T., & Turk‐Browne, N. B. (2022) · Developmental Psychobiology · doi:10.1002/dev.22346 · Cited by 17 · see citing works

Incorporating animal agency into research design could improve behavioral and neuroscience research.

Sueur, C., Zanaz, S., & Pelé, M. (2023) · Journal of comparative psychology · doi:10.1037/com0000335 · Cited by 15 · see citing works

Individual focused studies of functional brain development in early human infancy

Poppe, T., Moore, J. W., & Arichi, T. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.04.017 · Cited by 13 · see citing works

Baby Brains at Work: How Task-Based Functional Magnetic Resonance Imaging Can Illuminate the Early Emergence of Psychiatric Risk

Nielsen, A. N., Graham, A. M., & Sylvester, C. M. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.01.010 · Cited by 13 · see citing works

Development of Higher-Level Vision: A Network Perspective

Bourne, J. A., Cichy, R. M., Kiorpes, L., Morrone, M. C., Arcaro, M. J., & Nielsen, K. J. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1291-24.2024 · Cited by 11 · see citing works

The generalizability of cortical area parcellations across early childhood

Tu, J. C., Myers, M. J., Li, W., Li, J. J., Wang, X., Dierker, D. L., Day, T. K. M., Snyder, A. Z., Latham, A. R., Kenley, J. K., et al. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf116 · Cited by 12 · see citing works

Measuring the Autonomic Nervous System as a Window Into the Mind and Brain

Ishikawa, M. (2023) · European Psychologist · doi:10.1027/1016-9040/a000500 · Cited by 9 · see citing works

Markov Guided Spatio-Temporal Networks for Brain Image Classification

Zhang, Y., Xu, Y., An, R., Li, Y., Liu, S., & Shang, X. (2022) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm55620.2022.9995528 · Cited by 6 · see citing works

Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks

Liu, J., Dey, N., Das, N., Crespo, R. A. G., Shi, F., & Liu, C. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.108837 · Cited by 6 · see citing works

Functional Magnetic Resonance Imaging in Awake Infants: Insights From More Than 750 Scanning Sessions

Behm, L., Yates, T. S., Trach, J. E., Choi, D., Du, H., Osumah, C., Deen, B., Kosakowski, H. L., Chen, E. M., Kamps, F. S., et al. (2026) · Infancy · doi:10.1111/infa.70062 · Cited by 3 · see citing works

The neurodevelopmental roots of interactions between attention and working memory during infancy

Xie, W., Cheng, C., & Huang, S. (2025) · Developmental Review · doi:10.1016/j.dr.2025.101199 · Cited by 3 · see citing works

Development of human visual cortical function: A scoping review of task- and naturalistic-fMRI studies through the interactive specialization and maturational frameworks.

Tansey, R., Graff, K., Rai, S., Merrikh, D., Godfrey, K. J., Vanderwal, T., & Bray, S. (2024) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105729 · Cited by 2 · see citing works

Graph Network Modeling of Brain Connectivity: An Exploration of Word and Object Recognition Tasks

Jiang, W., Ma, L., & Li, H. (2024) · International Conference on Signal Processing · doi:10.1109/icsp62129.2024.10846497 · Cited by 2 · see citing works

Awake infant fMRI: Insights from more than 750 scanning sessionsPreprint

Behm, L., Yates, T. S., Trach, J. E., Choi, D., Du, H., Osumah, C., Deen, B., Kosakowski, H. L., Chen, E. M., Kamps, F. S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.20.636736 · Cited by 2 · see citing works

Babies form fleeting memories

Ramsaran, A. I., & Frankland, P. W. (2025) · Science · doi:10.1126/science.adw1923 · Cited by 2 · see citing works

Visual category representations in the infant brainPreprint

Xie, S., Hoehl, S., Moeskops, M., Kayhan, E., Kliesch, C., Turtleton, B., Köster, M., & Cichy, R. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.03.466293 · Cited by 1 · see citing works

Following the Tradition of the Italian School of Visual Science: Intellectually Challenging but also Incredibly Exciting

Morrone, M. C. (2025) · Annual Review of Vision Science · doi:10.1146/annurev-vision-110623-075651

Infant fMRI: A Model System for Cognitive Neuroscience

Ellis, C. T., & Turk‐Browne, N. B. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.005 · Cited by 52 · see citing works

How to read a baby’s mind: Re-imagining fMRI for awake, behaving infantsPreprint

Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.11.944868 · Cited by 1 · see citing works

Re-imagining fMRI for awake behaving infants

Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2020) · Nature Communications · doi:10.1038/s41467-020-18286-y · Cited by 92 · see citing works

Studying infant cognition by EEG and ERP

Gergely, C. (2009) · Frontiers in Human Neuroscience · doi:10.3389/conf.neuro.09.2009.05.004

Methodological challenges in the comparison of infant fMRI across age groups

Cusack, R., McCuaig, O., & Linke, A. C. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.003 · Cited by 49 · see citing works