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Matrix crosslinking enhances macrophage adhesion, migration, and inflammatory activation.

APL bioengineering

Hsieh JY, Keating MT, Smith TD, Meli VS, Botvinick EL, Liu WF.
PMID: 31069336
APL Bioeng. 2019 Mar 27;3(1):016103. doi: 10.1063/1.5067301. eCollection 2019 Mar.

Macrophages are versatile cells of the innate immune system that can adopt a variety of functional phenotypes depending on signals in their environment. In previous work, we found that culture of macrophages on fibrin, the provisional extracellular matrix protein,...

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Hsieh JY, Keating MT, Smith TD, et al. Matrix crosslinking enhances macrophage adhesion, migration, and inflammatory activation. APL Bioeng. 2019;3(1):016103doi: 10.1063/1.5067301.
Hsieh, J. Y., Keating, M. T., Smith, T. D., Meli, V. S., Botvinick, E. L., & Liu, W. F. (2019). Matrix crosslinking enhances macrophage adhesion, migration, and inflammatory activation. APL bioengineering, 3(1), 016103. https://doi.org/10.1063/1.5067301
Hsieh, Jessica Y, et al. "Matrix crosslinking enhances macrophage adhesion, migration, and inflammatory activation." APL bioengineering vol. 3,1 (2019): 016103. doi: https://doi.org/10.1063/1.5067301
Hsieh JY, Keating MT, Smith TD, Meli VS, Botvinick EL, Liu WF. Matrix crosslinking enhances macrophage adhesion, migration, and inflammatory activation. APL Bioeng. 2019 Mar 27;3(1):016103. doi: 10.1063/1.5067301. eCollection 2019 Mar. PMID: 31069336; PMCID: PMC6481736.
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Patterned photocrosslinking to establish stiffness anisotropies in fibrous 3D hydrogels.

Acta biomaterialia

Jagiełło A, Hu Q, Castillo U, Botvinick E.
PMID: 34971786
Acta Biomater. 2021 Dec 28; doi: 10.1016/j.actbio.2021.12.028. Epub 2021 Dec 28.

Cells are known to constantly interact with their local extracellular matrix (ECM) and respond to a variety of biochemical and mechanical cues received from the ECM. Nonetheless, comprehensive understanding of cell-ECM interactions has been elusive. Many studies rely on...

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Jagiełło A, Hu Q, Castillo U, et al. Patterned photocrosslinking to establish stiffness anisotropies in fibrous 3D hydrogels. Acta Biomater. 2021;doi: 10.1016/j.actbio.2021.12.028.
Jagiełło, A., Hu, Q., Castillo, U., & Botvinick, E. (2021). Patterned photocrosslinking to establish stiffness anisotropies in fibrous 3D hydrogels. Acta biomaterialia, . https://doi.org/10.1016/j.actbio.2021.12.028
Jagiełło, Alicja, et al. "Patterned photocrosslinking to establish stiffness anisotropies in fibrous 3D hydrogels." Acta biomaterialia vol. (2021). doi: https://doi.org/10.1016/j.actbio.2021.12.028
Jagiełło A, Hu Q, Castillo U, Botvinick E. Patterned photocrosslinking to establish stiffness anisotropies in fibrous 3D hydrogels. Acta Biomater. 2021 Dec 28; doi: 10.1016/j.actbio.2021.12.028. Epub 2021 Dec 28. PMID: 34971786.
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Cell contact guidance via sensing anisotropy of network mechanical resistance.

Proceedings of the National Academy of Sciences of the United States of America

Thrivikraman G, Jagiełło A, Lai VK, Johnson SL, Keating M, Nelson A, Schultz B, Wang CM, Levine AJ, Botvinick EL, Tranquillo RT.
PMID: 34266950
Proc Natl Acad Sci U S A. 2021 Jul 20;118(29). doi: 10.1073/pnas.2024942118.

Despite the ubiquitous importance of cell contact guidance, the signal-inducing contact guidance of mammalian cells in an aligned fibril network has defied elucidation. This is due to multiple interdependent signals that an aligned fibril network presents to cells, including,...

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Thrivikraman G, Jagiełło A, Lai VK, et al. Cell contact guidance via sensing anisotropy of network mechanical resistance. Proc Natl Acad Sci U S A. 2021;118(29)doi: 10.1073/pnas.2024942118.
Thrivikraman, G., Jagiełło, A., Lai, V. K., Johnson, S. L., Keating, M., Nelson, A., Schultz, B., Wang, C. M., Levine, A. J., Botvinick, E. L., & Tranquillo, R. T. (2021). Cell contact guidance via sensing anisotropy of network mechanical resistance. Proceedings of the National Academy of Sciences of the United States of America, 118(29), . https://doi.org/10.1073/pnas.2024942118
Thrivikraman, Greeshma, et al. "Cell contact guidance via sensing anisotropy of network mechanical resistance." Proceedings of the National Academy of Sciences of the United States of America vol. 118,29 (2021). doi: https://doi.org/10.1073/pnas.2024942118
Thrivikraman G, Jagiełło A, Lai VK, Johnson SL, Keating M, Nelson A, Schultz B, Wang CM, Levine AJ, Botvinick EL, Tranquillo RT. Cell contact guidance via sensing anisotropy of network mechanical resistance. Proc Natl Acad Sci U S A. 2021 Jul 20;118(29). doi: 10.1073/pnas.2024942118. PMID: 34266950; PMCID: PMC8307272.
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[No title available]

International journal of MS care

Stimmel M, Shagalow S, Seng EK, Portnoy JG, Archetti R, Mendelowitz E, Sloan J, Botvinick J, Glukhovsky L, Foley FW.
PMID: 31049037
Int J MS Care. 2019 Mar-Apr;21(2):70-75. doi: 10.7224/1537-2073.2017-089.

BACKGROUND: Adherence to nonmedication recommendations is typically low, as seen in various health populations. Because literature on adherence to treatment recommendations made after neuropsychological testing in multiple sclerosis (MS) is lacking, this study evaluated adherence and reasons for nonadherence....

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Stimmel M, Shagalow S, Seng EK, et al. . Int J MS Care. 2019;21(2):70-75doi: 10.7224/1537-2073.2017-089.
Stimmel, M., Shagalow, S., Seng, E. K., Portnoy, J. G., Archetti, R., Mendelowitz, E., Sloan, J., Botvinick, J., Glukhovsky, L., & Foley, F. W. (2019). . International journal of MS care, 21(2), 70-75. https://doi.org/10.7224/1537-2073.2017-089
Stimmel, Marnina, et al. "." International journal of MS care vol. 21,2 (2019): 70-75. doi: https://doi.org/10.7224/1537-2073.2017-089
Stimmel M, Shagalow S, Seng EK, Portnoy JG, Archetti R, Mendelowitz E, Sloan J, Botvinick J, Glukhovsky L, Foley FW. . Int J MS Care. 2019 Mar-Apr;21(2):70-75. doi: 10.7224/1537-2073.2017-089. PMID: 31049037; PMCID: PMC6489436.
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Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments.

Artificial intelligence

Pereira F, Botvinick M, Detre G.
PMID: 23243317
Artif Intell. 2013 Jan 01;194:240-252. doi: 10.1016/j.artint.2012.06.005. Epub 2012 Jul 10.

In this paper we show that a corpus of a few thousand Wikipedia articles about concrete or visualizable concepts can be used to produce a low-dimensional semantic feature representation of those concepts. The purpose of such a representation is...

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Pereira F, Botvinick M, Detre G. Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artif Intell. 2012;194:240-252doi: 10.1016/j.artint.2012.06.005.
Pereira, F., Botvinick, M., & Detre, G. (2013). Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artificial intelligence, 194240-252. https://doi.org/10.1016/j.artint.2012.06.005
Pereira, Francisco, et al. "Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments." Artificial intelligence vol. 194 (2013): 240-252. doi: https://doi.org/10.1016/j.artint.2012.06.005
Pereira F, Botvinick M, Detre G. Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artif Intell. 2013 Jan 01;194:240-252. doi: 10.1016/j.artint.2012.06.005. Epub 2012 Jul 10. PMID: 23243317; PMCID: PMC3519435.
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Sequential shrink photolithography for plastic microlens arrays.

Applied physics letters

Dyer D, Shreim S, Jayadev S, Lew V, Botvinick E, Khine M.
PMID: 21863126
Appl Phys Lett. 2011 Jul 18;99(3):34102-341023. doi: 10.1063/1.3609322. Epub 2011 Jul 19.

Endeavoring to push the boundaries of microfabrication with shrinkable polymers, we have developed a sequential shrink photolithography process. We demonstrate the utility of this approach by rapidly fabricating plastic microlens arrays. First, we create a mask out of the...

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Dyer D, Shreim S, Jayadev S, et al. Sequential shrink photolithography for plastic microlens arrays. Appl Phys Lett. 2011;99(3):34102-341023doi: 10.1063/1.3609322.
Dyer, D., Shreim, S., Jayadev, S., Lew, V., Botvinick, E., & Khine, M. (2011). Sequential shrink photolithography for plastic microlens arrays. Applied physics letters, 99(3), 34102-341023. https://doi.org/10.1063/1.3609322
Dyer, David, et al. "Sequential shrink photolithography for plastic microlens arrays." Applied physics letters vol. 99,3 (2011): 34102-341023. doi: https://doi.org/10.1063/1.3609322
Dyer D, Shreim S, Jayadev S, Lew V, Botvinick E, Khine M. Sequential shrink photolithography for plastic microlens arrays. Appl Phys Lett. 2011 Jul 18;99(3):34102-341023. doi: 10.1063/1.3609322. Epub 2011 Jul 19. PMID: 21863126; PMCID: PMC3155578.
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Goal-directed decision making in prefrontal cortex: A computational framework.

Advances in neural information processing systems

Botvinick M, An J.
PMID: 25258502
Adv Neural Inf Process Syst. 2009;21:169-176.

Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored actio n values, and a goal-dir ected form, which forecasts and compares action outcomes based on a...

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Botvinick M, An J. Goal-directed decision making in prefrontal cortex: A computational framework. Adv Neural Inf Process Syst. 2009;21:169-176
Botvinick, M., & An, J. (2009). Goal-directed decision making in prefrontal cortex: A computational framework. Advances in neural information processing systems, 21169-176.
Botvinick, Matthew, and An, James. "Goal-directed decision making in prefrontal cortex: A computational framework." Advances in neural information processing systems vol. 21 (2009): 169-176.
Botvinick M, An J. Goal-directed decision making in prefrontal cortex: A computational framework. Adv Neural Inf Process Syst. 2009;21:169-176. PMID: 25258502; PMCID: PMC4171955.
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The successor representation in human reinforcement learning.

Nature human behaviour

Momennejad I, Russek EM, Cheong JH, Botvinick MM, Daw ND, Gershman SJ.
PMID: 31024137
Nat Hum Behav. 2017 Sep;1(9):680-692. doi: 10.1038/s41562-017-0180-8. Epub 2017 Aug 28.

Theories of reward learning in neuroscience have focused on two families of algorithms thought to capture deliberative versus habitual choice. 'Model-based' algorithms compute the value of candidate actions from scratch, whereas 'model-free' algorithms make choice more efficient but less...

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Momennejad I, Russek EM, Cheong JH, et al. The successor representation in human reinforcement learning. Nat Hum Behav. 2017;1(9):680-692doi: 10.1038/s41562-017-0180-8.
Momennejad, I., Russek, E. M., Cheong, J. H., Botvinick, M. M., Daw, N. D., & Gershman, S. J. (2017). The successor representation in human reinforcement learning. Nature human behaviour, 1(9), 680-692. https://doi.org/10.1038/s41562-017-0180-8
Momennejad, I, et al. "The successor representation in human reinforcement learning." Nature human behaviour vol. 1,9 (2017): 680-692. doi: https://doi.org/10.1038/s41562-017-0180-8
Momennejad I, Russek EM, Cheong JH, Botvinick MM, Daw ND, Gershman SJ. The successor representation in human reinforcement learning. Nat Hum Behav. 2017 Sep;1(9):680-692. doi: 10.1038/s41562-017-0180-8. Epub 2017 Aug 28. PMID: 31024137; PMCID: PMC6941356.
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Clinical evaluation of a novel subcutaneous lactate monitor.

Journal of clinical monitoring and computing

Dror N, Weidling J, White S, Ortenzio F, Shreim S, Keating MT, Pham H, Radom-Aizik S, Botvinick E.
PMID: 33837904
J Clin Monit Comput. 2021 Apr 10; doi: 10.1007/s10877-021-00685-1. Epub 2021 Apr 10.

Lactate levels are commonly used as an indirect measure to assess metabolic stress in clinical conditions like sepsis. Dynamic lactate measurements are recommended to assess and guide treatment in patients with shock and other critical care conditions. A minimally...

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Dror N, Weidling J, White S, et al. Clinical evaluation of a novel subcutaneous lactate monitor. J Clin Monit Comput. 2021;doi: 10.1007/s10877-021-00685-1.
Dror, N., Weidling, J., White, S., Ortenzio, F., Shreim, S., Keating, M. T., Pham, H., Radom-Aizik, S., & Botvinick, E. (2021). Clinical evaluation of a novel subcutaneous lactate monitor. Journal of clinical monitoring and computing, . https://doi.org/10.1007/s10877-021-00685-1
Dror, Nitsan, et al. "Clinical evaluation of a novel subcutaneous lactate monitor." Journal of clinical monitoring and computing vol. (2021). doi: https://doi.org/10.1007/s10877-021-00685-1
Dror N, Weidling J, White S, Ortenzio F, Shreim S, Keating MT, Pham H, Radom-Aizik S, Botvinick E. Clinical evaluation of a novel subcutaneous lactate monitor. J Clin Monit Comput. 2021 Apr 10; doi: 10.1007/s10877-021-00685-1. Epub 2021 Apr 10. PMID: 33837904; PMCID: PMC8536260.
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Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.

Nature communications

Higgins I, Chang L, Langston V, Hassabis D, Summerfield C, Tsao D, Botvinick M.
PMID: 34753913
Nat Commun. 2021 Nov 09;12(1):6456. doi: 10.1038/s41467-021-26751-5.

In order to better understand how the brain perceives faces, it is important to know what objective drives learning in the ventral visual stream. To answer this question, we model neural responses to faces in the macaque inferotemporal (IT)...

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Higgins I, Chang L, Langston V, et al. Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons. Nat Commun. 2021;12(1):6456doi: 10.1038/s41467-021-26751-5.
Higgins, I., Chang, L., Langston, V., Hassabis, D., Summerfield, C., Tsao, D., & Botvinick, M. (2021). Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons. Nature communications, 12(1), 6456. https://doi.org/10.1038/s41467-021-26751-5
Higgins, Irina, et al. "Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons." Nature communications vol. 12,1 (2021): 6456. doi: https://doi.org/10.1038/s41467-021-26751-5
Higgins I, Chang L, Langston V, Hassabis D, Summerfield C, Tsao D, Botvinick M. Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons. Nat Commun. 2021 Nov 09;12(1):6456. doi: 10.1038/s41467-021-26751-5. PMID: 34753913; PMCID: PMC8578601.
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Dipyridamole myocardial perfusion scintigraphy.

The Western journal of medicine

Botvinick EH, Dae M.
PMID: 18750408
West J Med. 1988 Apr;148(4):454-5.

No abstract available.

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Botvinick EH, Dae M. Dipyridamole myocardial perfusion scintigraphy. West J Med. 1988;148(4):454-5
Botvinick, E. H., & Dae, M. (1988). Dipyridamole myocardial perfusion scintigraphy. The Western journal of medicine, 148(4), 454-5.
Botvinick, E H, and Dae, M. "Dipyridamole myocardial perfusion scintigraphy." The Western journal of medicine vol. 148,4 (1988): 454-5.
Botvinick EH, Dae M. Dipyridamole myocardial perfusion scintigraphy. West J Med. 1988 Apr;148(4):454-5. PMID: 18750408; PMCID: PMC1026145.
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Author Correction: The hippocampus as a predictive map.

Nature neuroscience

Stachenfeld KL, Botvinick MM, Gershman SJ.
PMID: 29695823
Nat Neurosci. 2018 Jun;21(6):895. doi: 10.1038/s41593-018-0133-1.

In the version of this article initially published, equation (7) read.

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Stachenfeld KL, Botvinick MM, Gershman SJ. Author Correction: The hippocampus as a predictive map. Nat Neurosci. 2018;21(6):895doi: 10.1038/s41593-018-0133-1.
Stachenfeld, K. L., Botvinick, M. M., & Gershman, S. J. (2018). Author Correction: The hippocampus as a predictive map. Nature neuroscience, 21(6), 895. https://doi.org/10.1038/s41593-018-0133-1
Stachenfeld, Kimberly L, et al. "Author Correction: The hippocampus as a predictive map." Nature neuroscience vol. 21,6 (2018): 895. doi: https://doi.org/10.1038/s41593-018-0133-1
Stachenfeld KL, Botvinick MM, Gershman SJ. Author Correction: The hippocampus as a predictive map. Nat Neurosci. 2018 Jun;21(6):895. doi: 10.1038/s41593-018-0133-1. PMID: 29695823.
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Showing 1 to 12 of 27 entries