Jason Neil MacLean

University of Chicago, Chicago, IL 
Cortical microcirciutry
"Jason MacLean"
Mean distance: 13.22 (cluster 6)


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Ronald M. Harris-Warrick post-doc 1998-2000 Cornell
Rafael Yuste post-doc 2001-2007 Chicago


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Isabel Garon research assistant Chicago
Mengzhan Liufu research assistant Chicago
Lane T. McIntosh research assistant 2010-2010 Chicago
Brendan Chambers grad student Chicago
Elizabeth A de Laittre grad student Chicago
Alexander J. Sadovsky grad student 2007-2014 Chicago
Maayan Levy grad student 2015-2021 Chicago
Florian B. Neubauer post-doc 2009- Chicago


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Brendon Omar Watson collaborator 2003-2007 Columbia
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Zayyad ZA, Maunsell JHR, MacLean JN. (2023) Normalization in mouse primary visual cortex. Plos One. 18: e0295140
Sundiang M, Hatsopoulos NG, MacLean JN. (2023) Dynamic structure of motor cortical neuron coactivity carries behaviorally relevant information. Network Neuroscience (Cambridge, Mass.). 7: 661-678
Zayyad ZA, Maunsell JHR, MacLean JN. (2023) Normalization in mouse primary visual cortex. Biorxiv : the Preprint Server For Biology
Jabri T, MacLean JN. (2022) Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring. Neural Computation. 34: 2347-2373
Wang YW, Wreden CC, Levy M, et al. (2022) Sequential addition of neuronal stem cell temporal cohorts generates a feed-forward circuit in the Drosophila larval nerve cord. Elife. 11
Levy M, Sporns O, MacLean JN. (2020) Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding. Cell Reports. 31: 107483
Kotekal S, MacLean JN. (2020) Recurrent interactions can explain the variance in single trial responses. Plos Computational Biology. 16: e1007591
Chambers B, Levy M, Dechery JB, et al. (2018) Ensemble stacking mitigates biases in inference of synaptic connectivity. Network Neuroscience (Cambridge, Mass.). 2: 60-85
Dechery JB, MacLean JN. (2018) Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons. Plos Computational Biology. 14: e1006153
Sederberg AJ, MacLean JN, Palmer SE. (2018) Learning to make external sensory stimulus predictions using internal correlations in populations of neurons. Proceedings of the National Academy of Sciences of the United States of America
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