Engel, Tatiana A. 2022. “Volatile Neurons Unite to Stabilize Visual Experience”. Nature, no. 605: 625-26. News & Views: Volatile neurons unite to stabilize visual experience.

Zeraati, Roxana, Tatiana A Engel, and Anna Levina. 2022. “A Flexible Bayesian Framework for Unbiased Estimation of Timescales”. Nature Computational Science 2. Nature Publishing Group US New York: 193–204. Paper: A flexible Bayesian framework for unbiased estimation of timescales.

Engel, Tatiana A, Marieke L Schölvinck, and Christopher M Lewis. 2021. “The Diversity and Specificity of Functional Connectivity across Spatial and Temporal Scales”. NeuroImage 245. Academic Press: 118692. Paper: The diversity and specificity of functional connectivity across spatial and temporal scales.

Shi, Yan-Liang, Nicholas A Steinmetz, Tirin Moore, Kwabena Boahen, and Tatiana A Engel. 2022. “Cortical State Dynamics and Selective Attention Define the Spatial Pattern of Correlated Variability in Neocortex”. Nature Communications 13. Nature Publishing Group UK London: 44. Paper: Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex.

Genkin, Mikhail, Owen Hughes, and Tatiana A Engel. 2021. “Learning Non-Stationary Langevin Dynamics from Stochastic Observations of Latent Trajectories”. Nature Communications 12: 5986. Paper: Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories.

Engel, Tatiana A, and Xiao-Jing Wang. 2011. “Same or Different? A Neural Circuit Mechanism of Similarity-Based Pattern Match Decision Making”. Journal of Neuroscience 31. Society for Neuroscience: 6982–6996. Paper: Same or different? A neural circuit mechanism of similarity-based pattern match decision making.

Bhattasali, Nikhil, Anthony M Zador, and Tatiana A Engel. 2022. “Neural Circuit Architectural Priors for Embodied Control”. Advances in Neural Information Processing Systems 35: 12744–12759. Paper: Neural circuit architectural priors for embodied control.

Engel, Tatiana A, Warasinee Chaisangmongkon, David J Freedman, and Xiao-Jing Wang. 2015. “Choice-Correlated Activity Fluctuations Underlie Learning of Neuronal Category Representation”. Nature Communications 6. Nature Publishing Group UK London: 6454. Paper: Choice-correlated activity fluctuations underlie learning of neuronal category representation.

Langdon, Christopher, and Tatiana A Engel. 2025. “Latent Circuit Inference from Heterogeneous Neural Responses During Cognitive Tasks”. Nature Neuroscience 28. Cold Spring Harbor Laboratory: 665-75. Paper: Latent circuit inference from heterogeneous neural responses during cognitive tasks.

Engel, Tatiana A, and David Andrieux. 2010. “Forget before You Remember: Dynamic Mechanism of Memory Decay and Retrieval”. Frontiers in Neuroscience 4. Frontiers: 1826. Paper: Forget before you remember: dynamic mechanism of memory decay and retrieval.

Shi, Yan-Liang, Roxana Zeraati, Anna Levina, and Tatiana A Engel. 2023. “Spatial and Temporal Correlations in Neural Networks With Structured Connectivity”. Physical Review Research 5. American Physical Society: 013005. Paper: Spatial and temporal correlations in neural networks with structured connectivity.

Engel, Tatiana A, Nicholas A Steinmetz, Marc A Gieselmann, Alexander Thiele, Tirin Moore, and Kwabena Boahen. 2016. “Selective Modulation of Cortical State During Spatial Attention”. Science 354. American Association for the Advancement of Science: 1140–1144. Paper: Selective modulation of cortical state during spatial attention.

Zeraati, Roxana, Yan-Liang Shi, Nicholas A Steinmetz, Marc A Gieselmann, Alexander Thiele, Tirin Moore, Anna Levina, and Tatiana A Engel. 2023. “Intrinsic Timescales in the Visual Cortex Change With Selective Attention and Reflect Spatial Connectivity”. Nature Communications 14. Nature Publishing Group UK London: 1858. Paper: Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity.

Engel, Tatiana A, Lutz Schimansky-Geier, Andreas VM Herz, Susanne Schreiber, and I Erchova. 2008. “Subthreshold Membrane-Potential Resonances Shape Spike-Train Patterns in the Entorhinal Cortex”. Journal of Neurophysiology 100. American Physiological Society: 1576–1589. Paper: Subthreshold membrane-potential resonances shape spike-train patterns in the entorhinal cortex.

Cohen, Yarden, Tatiana A Engel, Christopher Langdon, Grace W Lindsay, Torben Ott, Megan AK Peters, James M Shine, Vincent Breton-Provencher, and Srikanth Ramaswamy. 2022. “Recent Advances at the Interface of Neuroscience and Artificial Neural Networks”. Journal of Neuroscience 42. Society for Neuroscience: 8514–8523. Paper: Recent advances at the interface of neuroscience and artificial neural networks.

Engel, Tatiana A, Brian Helbig, David F Russell, Lutz Schimansky-Geier, and Alexander B Neiman. 2009. “Coherent Stochastic Oscillations Enhance Signal Detection in Spiking Neurons”. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80. American Physical Society: 021919. Paper: Coherent stochastic oscillations enhance signal detection in spiking neurons.

Zeraati, Roxana, Victor Buendía, Tatiana A Engel, and Anna Levina. 2024. “Topology-Dependent Coalescence Controls Scaling Exponents in Finite Networks”. Physical Review Research 6. American Physical Society: 023131. Paper: Topology-dependent coalescence controls scaling exponents in finite networks.

Rading, M.M., Tatiana A Engel, R. Lipowsky, and A Valleriani. 2011. “Stationary Size Distributions of Growing Cells With Binary and Multiple Cell Division”. Journal of Statistical Physics 145: 1–22. Paper: Stationary size distributions of growing cells with binary and multiple cell division.

Roach, James P, Anne K Churchland, and Tatiana A Engel. 2023. “Choice Selective Inhibition Drives Stability and Competition in Decision Circuits”. Nature Communications 14. Nature Publishing Group UK London: 147. Paper: Choice selective inhibition drives stability and competition in decision circuits.

Engel, Tatiana A. 2007. “Firing Statistics in Neurons As Non-Markovian First Passage Time Problem”. Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I. Thesis: Firing statistics in neurons as non-Markovian first passage time problem.

Langdon, Christopher, Mikhail Genkin, and Tatiana A Engel. 2023. “A Unifying Perspective on Neural Manifolds and Circuits for Cognition”. Nature Reviews Neuroscience 24. Nature Publishing Group UK London: 363–377. Paper: A unifying perspective on neural manifolds and circuits for cognition.

Engel, Tatiana A, and Nicholas A Steinmetz. 2019. “New Perspectives on Dimensionality and Variability from Large-Scale Cortical Dynamics”. Current Opinion in Neurobiology 58. Elsevier Current Trends: 181–190. Paper: New perspectives on dimensionality and variability from large-scale cortical dynamics.

Genkin, Mikhail, Krishna Shenoy V, Chandramouli Chandrasekaran, and Tatiana A Engel. 2023. “The Dynamics and Geometry of Choice in Premotor Cortex”. BioRxiv. Cold Spring Harbor Laboratory Preprints. Preprint: The dynamics and geometry of choice in premotor cortex.

van Kempen, Jochem, Marc A Gieselmann, Michael Boyd, Nicholas A Steinmetz, Tirin Moore, Tatiana A Engel, and Alexander Thiele. 2021. “Top-down Coordination of Local Cortical State During Selective Attention”. Neuron 109. Elsevier: 894–904. Paper: Top-down coordination of local cortical state during selective attention.

Wang, Julia H, Dexter Tsin, and Tatiana A Engel. 2023. “Predictive Variational Autoencoder for Learning Robust Representations of Time-Series Data”. UniReps: the First Workshop on Unifying Representations in Neural Models. arXiv. Paper: Predictive variational autoencoder for learning robust representations of time-series data.

Genkin, Mikhail, and Tatiana A Engel. 2020. “Moving Beyond Generalization to Accurate Interpretation of Flexible Models”. Nature Machine Intelligence 2. Nature Publishing Group UK London: 674–683. Paper: Moving beyond generalization to accurate interpretation of flexible models.

Xia, Ruobing, Xiaomo Chen, Tatiana A Engel, and Tirin Moore. 2024. “Common and Distinct Neural Mechanisms of Attention”. Trends in Cognitive Sciences. Elsevier. Paper: Common and distinct neural mechanisms of attention.

Genkin, Mikhail, and Tatiana A Engel. 2020. “Engellab/Neuralflow:/Moving/Beyond/Generalization/to/Accurate/Interpretation/of/Flexible/Models”. Zenodo. Code: engellab/neuralflow: Moving beyond generalization to accurate interpretation of flexible models.

Aghamohammadi, Cina, Chandramouli Chandrasekaran, and Tatiana A Engel. 2024. “A Doubly Stochastic Renewal Framework for Partitioning Spiking Variability”. BioRxiv. Cold Spring Harbor Laboratory, 2024–02. Preprint: A doubly stochastic renewal framework for partitioning spiking variability.