Publications
Peer-Reviewed Journal Publication
Lerner, I., Guijarro-Fuentas, P., Filippi, R., Li F., & Schwieter, J.W. (2023). Editorial: New Ideas in Language Sciences: Language Acquisition. Frontiers in Psychology, 14: 1250307. doi.org/10.3389/fpsyg.2023.1250307
https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1250307/full
Wood, E., Westphal, J.K & Lerner, I. (2023). Re-evaluating Two Popular EEG-based Mobile Sleep Monitoring Devices for Home Use. Journal of Sleep Research: e13824.
https://onlinelibrary.wiley.com/doi/abs/10.1111/jsr.13824
Lerner, I. (2023). A Peculiar Phenomenon and its Potential Explanation in the ATP Tennis Tour Finals for Singles. Journal of Quantitative Analysis in Sports 19(1), 27-36.
https://doi.org/10.1515/jqas-2022-0043
https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1250307/full
Wood, E., Westphal, J.K & Lerner, I. (2023). Re-evaluating Two Popular EEG-based Mobile Sleep Monitoring Devices for Home Use. Journal of Sleep Research: e13824.
https://onlinelibrary.wiley.com/doi/abs/10.1111/jsr.13824
Lerner, I. (2023). A Peculiar Phenomenon and its Potential Explanation in the ATP Tennis Tour Finals for Singles. Journal of Quantitative Analysis in Sports 19(1), 27-36.
https://doi.org/10.1515/jqas-2022-0043
| Lerner2023_draft.pdf |
Lerner, I., Pilly, P.K., & Moustafa, A.A. (2022). Editorial: Mechanisms contributing to sleep-dependent memory generalization. Frontiers in Neuroscience, 16:1106577. doi:10.3389/fnins.2022.1106577
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808383/
Lerner, I., Gluck, M.A. (2022). Sleep Facilitates Extraction of Temporal Regularities With Varying Timescales. Frontiers in Behavioral Neuroscience, 16:847803. doi:10.3389/fnbeh.2022.847083
https://www.frontiersin.org/articles/10.3389/fnbeh.2022.847083/full
Lerner, I., Lupkin, S.M., Tsai, A. & Gluck, M.A. (2021). Sleep to Remember, Sleep to Forget: Opposite Effects of Rapid Eye Movement Sleep on Recall and Discrimination of Fear Memories. Neurobiology of Learning and Memory, 180, 107413.
https://doi.org/10.1016/j.nlm.2021.107413
Praveen, P.K., Skorheim, S.W, Hubbard, R.J., Ketz, N.A., Roach, S.M., Lerner, I., Jones, A.P., Bradley, R., Bryant, N.B., Hartholt, A., Mullins, T.S., Choe, J., Clark, V.P., Howard, M.D. (2020). One-Shot Tagging During Wake and Cueing During Sleep With Spatiotemporal Patterns of Transcranial Electrical Stimulation Can Boost Long-Term Metamemory of Individual Episodes in Humans. Frontiers in Neuroscience, 16:1416. doi:10.3389/fnins.2019.01416
https://www.frontiersin.org/articles/10.3389/fnins.2019.01416/full
Lerner, I., Gluck, M.A. (2019). Sleep and the Extraction of Hidden Regularities: A Systematic Review and the Importance of Temporal Rules. Sleep Medicine Reviews, 47, 39-50.
https://doi.org/10.1016/j.smrv.2019.05.00
Lerner, I., Ketz, N. A., Jones, A.P., Bryant, N.B., Robert, B., Skorheim, S.W., Hartholt, A., Rizzo, A.S., Gluck, M.A., Clark, V.P., Pilly, P.K. (2019). Transcranial Current Stimulation During Sleep Facilitates Insight into Temporal Rules, but does not Consolidate Memories of Individual Sequential Experiences. Scientific Reports, 9, 1516. doi: 10.1038/s41598-018-36107-7
https://www.nature.com/articles/s41598-018-36107-7
Lerner, I., Sojitra, R., Gluck, M.A. (2018). How age affects reinforcement learning. Aging (Albany NY). 10(12), 3630-3631.
https://doi.org/10.18632/aging.101649
Lerner, I. & Gluck, M.A. (2018). Individual Differences in Slow-Wave-Sleep Predict Acquisition of Full Cognitive Maps. Frontiers in Human Neuroscience, 12: 404. doi:10.3389/fnhum.2018.00404
https://www.frontiersin.org/articles/10.3389/fnhum.2018.00404/full
Sojitra, R. * , Lerner, I. * , Petok, J.R., & Gluck, M.A. (2018). Age Affects Reinforcement Learning Through Dopamine-Based Laerning Imbalance and High Decision Noise – Not Through Parkinsonian Mechanisms Neurobiology of Aging, 68, 102-113.
https://www.sciencedirect.com/science/article/pii/S0197458018301283
* Co-first author, Equal contribution
Lerner, I. *, Lupkin, S.M. *, Sinha, N., Tsai, A., & Gluck, M.A. (2017). Baseline Levels of Rapid-Eye-Movement Sleep May Protect Against Excessive Activity in Fear-Related Neural Circuits. Journal of Neuroscience, 37 (46), 11233-11244.
http://www.jneurosci.org/content/jneuro/37/46/11233.full.pdf
Lerner, I. (2017). Unsupervised Temporal Learning during Sleep Supports Insight. Conference on Cognitive Computational Neuroscience (CCN) 2017. Archived at:
http://www2.securecms.com/CCNeuro/docs-0/5928daeb68ed3f7a4e8a2571.pdf
Lerner, I., Lupkin, S.M., Corter, J.E., Peters, S.E, Cannella, L., & Gluck, M.A. (2016). The influence of sleep on emotional and cognitive processing is primarily trait- (but not state-) dependent. Neurobiology of Learning and Memory, 134, 275-286.
http://www.sciencedirect.com/science/article/pii/S1074742716301320
Lerner, I., Armstrong, B.C., & Frost, R. (2014). What can we learn from learning models about sensitivity to letter-order in visual word recognition? Journal of Memory and Language, 77, 4-58.
http://www.sciencedirect.com/science/article/pii/S0749596X14001041
Lerner, I., Bentin, S., & Shriki, O. (2014). Integrating the Automatic and the Controlled: Strategies in Semantic Priming in an Attractor Network with Latching Dynamics. Cognitive Science, 38(8), 1562-1603.
http://onlinelibrary.wiley.com/doi/10.1111/cogs.12133/full
Lerner, I., & Shriki, O. (2014). Internally- and externally-driven network transitions as a basis for automatic and strategic processes in semantic priming: theory and experimental validation. Frontiers in Psychology 5:314. doi: 10.3389/fpsyg.2014.00314
https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00314/full
Lerner, I., Bentin, S., & Shriki, O. (2012). Spreading Activation in an Attractor Network with Latching Dynamics: Automatic Semantic Priming Revisited. Cognitive Science, 36 (8), 1339-1382.
http://onlinelibrary.wiley.com/doi/10.1111/cogs.12007/abstract
Lerner, I., Bentin, S., & Shriki, O. (2012). Excessive Attractor Instability Accounts for Semantic Priming in Schizophrenia. PLoS One, 7 (7):e40663.doi:10.1371/journal.pone.0040663
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040663
Lerner, I., Bentin, S., & Shriki, O. (2010). Automatic and controlled processes in semantic priming: an attractor neural network model with latching dynamics. In S. Ohlsson & R. Catrambone (Eds.) Proceedings of the 32rd Annual Conference of the Cognitive Science Society, (pp 1112-1117). Mahwah, NJ: Lawrence Erlbaum.
https://escholarship.org/uc/item/6b83k8mt
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808383/
Lerner, I., Gluck, M.A. (2022). Sleep Facilitates Extraction of Temporal Regularities With Varying Timescales. Frontiers in Behavioral Neuroscience, 16:847803. doi:10.3389/fnbeh.2022.847083
https://www.frontiersin.org/articles/10.3389/fnbeh.2022.847083/full
Lerner, I., Lupkin, S.M., Tsai, A. & Gluck, M.A. (2021). Sleep to Remember, Sleep to Forget: Opposite Effects of Rapid Eye Movement Sleep on Recall and Discrimination of Fear Memories. Neurobiology of Learning and Memory, 180, 107413.
https://doi.org/10.1016/j.nlm.2021.107413
Praveen, P.K., Skorheim, S.W, Hubbard, R.J., Ketz, N.A., Roach, S.M., Lerner, I., Jones, A.P., Bradley, R., Bryant, N.B., Hartholt, A., Mullins, T.S., Choe, J., Clark, V.P., Howard, M.D. (2020). One-Shot Tagging During Wake and Cueing During Sleep With Spatiotemporal Patterns of Transcranial Electrical Stimulation Can Boost Long-Term Metamemory of Individual Episodes in Humans. Frontiers in Neuroscience, 16:1416. doi:10.3389/fnins.2019.01416
https://www.frontiersin.org/articles/10.3389/fnins.2019.01416/full
Lerner, I., Gluck, M.A. (2019). Sleep and the Extraction of Hidden Regularities: A Systematic Review and the Importance of Temporal Rules. Sleep Medicine Reviews, 47, 39-50.
https://doi.org/10.1016/j.smrv.2019.05.00
Lerner, I., Ketz, N. A., Jones, A.P., Bryant, N.B., Robert, B., Skorheim, S.W., Hartholt, A., Rizzo, A.S., Gluck, M.A., Clark, V.P., Pilly, P.K. (2019). Transcranial Current Stimulation During Sleep Facilitates Insight into Temporal Rules, but does not Consolidate Memories of Individual Sequential Experiences. Scientific Reports, 9, 1516. doi: 10.1038/s41598-018-36107-7
https://www.nature.com/articles/s41598-018-36107-7
Lerner, I., Sojitra, R., Gluck, M.A. (2018). How age affects reinforcement learning. Aging (Albany NY). 10(12), 3630-3631.
https://doi.org/10.18632/aging.101649
Lerner, I. & Gluck, M.A. (2018). Individual Differences in Slow-Wave-Sleep Predict Acquisition of Full Cognitive Maps. Frontiers in Human Neuroscience, 12: 404. doi:10.3389/fnhum.2018.00404
https://www.frontiersin.org/articles/10.3389/fnhum.2018.00404/full
Sojitra, R. * , Lerner, I. * , Petok, J.R., & Gluck, M.A. (2018). Age Affects Reinforcement Learning Through Dopamine-Based Laerning Imbalance and High Decision Noise – Not Through Parkinsonian Mechanisms Neurobiology of Aging, 68, 102-113.
https://www.sciencedirect.com/science/article/pii/S0197458018301283
* Co-first author, Equal contribution
Lerner, I. *, Lupkin, S.M. *, Sinha, N., Tsai, A., & Gluck, M.A. (2017). Baseline Levels of Rapid-Eye-Movement Sleep May Protect Against Excessive Activity in Fear-Related Neural Circuits. Journal of Neuroscience, 37 (46), 11233-11244.
http://www.jneurosci.org/content/jneuro/37/46/11233.full.pdf
- Paper chosen for press promotion and featured in media outlets including Time, the Atlantic, Huffington Post, CTV, and others. See Media Coverage.
Lerner, I. (2017). Unsupervised Temporal Learning during Sleep Supports Insight. Conference on Cognitive Computational Neuroscience (CCN) 2017. Archived at:
http://www2.securecms.com/CCNeuro/docs-0/5928daeb68ed3f7a4e8a2571.pdf
Lerner, I., Lupkin, S.M., Corter, J.E., Peters, S.E, Cannella, L., & Gluck, M.A. (2016). The influence of sleep on emotional and cognitive processing is primarily trait- (but not state-) dependent. Neurobiology of Learning and Memory, 134, 275-286.
http://www.sciencedirect.com/science/article/pii/S1074742716301320
Lerner, I., Armstrong, B.C., & Frost, R. (2014). What can we learn from learning models about sensitivity to letter-order in visual word recognition? Journal of Memory and Language, 77, 4-58.
http://www.sciencedirect.com/science/article/pii/S0749596X14001041
Lerner, I., Bentin, S., & Shriki, O. (2014). Integrating the Automatic and the Controlled: Strategies in Semantic Priming in an Attractor Network with Latching Dynamics. Cognitive Science, 38(8), 1562-1603.
http://onlinelibrary.wiley.com/doi/10.1111/cogs.12133/full
Lerner, I., & Shriki, O. (2014). Internally- and externally-driven network transitions as a basis for automatic and strategic processes in semantic priming: theory and experimental validation. Frontiers in Psychology 5:314. doi: 10.3389/fpsyg.2014.00314
https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00314/full
Lerner, I., Bentin, S., & Shriki, O. (2012). Spreading Activation in an Attractor Network with Latching Dynamics: Automatic Semantic Priming Revisited. Cognitive Science, 36 (8), 1339-1382.
http://onlinelibrary.wiley.com/doi/10.1111/cogs.12007/abstract
Lerner, I., Bentin, S., & Shriki, O. (2012). Excessive Attractor Instability Accounts for Semantic Priming in Schizophrenia. PLoS One, 7 (7):e40663.doi:10.1371/journal.pone.0040663
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040663
Lerner, I., Bentin, S., & Shriki, O. (2010). Automatic and controlled processes in semantic priming: an attractor neural network model with latching dynamics. In S. Ohlsson & R. Catrambone (Eds.) Proceedings of the 32rd Annual Conference of the Cognitive Science Society, (pp 1112-1117). Mahwah, NJ: Lawrence Erlbaum.
https://escholarship.org/uc/item/6b83k8mt
Book Chapters
Lerner, I. (2017). Sleep is for the brain: Contemporary computational approaches in the study of sleep and memory and a Novel ‘Temporal Scaffolding’ Hypothesis. In: A. Moustafa (Ed), Computational Models of Brain and Behavior (pp. 245-256). Hoboken, NJ: Wiley.
http://onlinelibrary.wiley.com/doi/10.1002/9781119159193.ch18/summary
http://onlinelibrary.wiley.com/doi/10.1002/9781119159193.ch18/summary
Manuscripts Submitted or in Preparation
Brown, D.M.Y., Lerner, I., Cairney, J., & Kwan, Y. (Submitted). Independent and Joint Associations of Physical Activity and Sleep on Mental Health among 220,324 Adults in 214 Countries.
Vickrey, B.C, & Lerner, I. Pink Noise Could Hinder Sleep-Dependent Benefits to Pattern Learning and Insight. In Preparation.
Larios, E.A.M, & Lerner, I. Habitual REM Sleep Predicts Test-Anxiety Levels Months in Advance. In Preparation.
Lerner, I., & Hamm, S. Sleep Contributes to the Formation of False Composite Memories. In Preparation.
Vickrey, B.C, & Lerner, I. Pink Noise Could Hinder Sleep-Dependent Benefits to Pattern Learning and Insight. In Preparation.
Larios, E.A.M, & Lerner, I. Habitual REM Sleep Predicts Test-Anxiety Levels Months in Advance. In Preparation.
Lerner, I., & Hamm, S. Sleep Contributes to the Formation of False Composite Memories. In Preparation.