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Stefan Mihalas - Publications

Affiliations: 
Johns Hopkins University, Baltimore, MD 
Area:
computational neuroscience
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59/91 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Gale SD, Strawder C, Bennett C, Mihalas S, Koch C, Olsen SR. Backward masking in mice requires visual cortex. Nature Neuroscience. PMID 37957319 DOI: 10.1038/s41593-023-01488-0  0.369
2022 Voina D, Recanatesi S, Hu B, Shea-Brown E, Mihalas S. Single Circuit in V1 Capable of Switching Contexts during Movement Using an Inhibitory Population as a Switch. Neural Computation. 1-54. PMID 35016220 DOI: 10.1162/neco_a_01472  0.67
2021 Hu B, Garrett ME, Groblewski PA, Ollerenshaw DR, Shang J, Roll K, Manavi S, Koch C, Olsen SR, Mihalas S. Adaptation supports short-term memory in a visual change detection task. Plos Computational Biology. 17: e1009246. PMID 34534203 DOI: 10.1371/journal.pcbi.1009246  0.686
2021 Siegle JH, Jia X, Durand S, Gale S, Bennett C, Graddis N, Heller G, Ramirez TK, Choi H, Luviano JA, Groblewski PA, Ahmed R, Arkhipov A, Bernard A, Billeh YN, ... ... Mihalas S, et al. Survey of spiking in the mouse visual system reveals functional hierarchy. Nature. PMID 33473216 DOI: 10.1038/s41586-020-03171-x  0.696
2020 Dai K, Gratiy SL, Billeh YN, Xu R, Cai B, Cain N, Rimehaug AE, Stasik AJ, Einevoll GT, Mihalas S, Koch C, Arkhipov A. Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. Plos Computational Biology. 16: e1008386. PMID 33253147 DOI: 10.1371/journal.pcbi.1008386  0.393
2020 Groblewski PA, Ollerenshaw DR, Kiggins JT, Garrett ME, Mochizuki C, Casal L, Cross S, Mace K, Swapp J, Manavi S, Williams D, Mihalas S, Olsen SR. Characterization of Learning, Motivation, and Visual Perception in Five Transgenic Mouse Lines Expressing GCaMP in Distinct Cell Populations. Frontiers in Behavioral Neuroscience. 14: 104. PMID 32655383 DOI: 10.3389/Fnbeh.2020.00104  0.302
2020 Iyer R, Hu B, Mihalas S. Contextual Integration in Cortical and Convolutional Neural Networks. Frontiers in Computational Neuroscience. 14: 31. PMID 32390818 DOI: 10.3389/Fncom.2020.00031  0.717
2020 Billeh YN, Cai B, Gratiy SL, Dai K, Iyer R, Gouwens NW, Abbasi-Asl R, Jia X, Siegle JH, Olsen SR, Koch C, Mihalas S, Arkhipov A. Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron. PMID 32142648 DOI: 10.1016/J.Neuron.2020.01.040  0.512
2020 Garrett M, Manavi S, Roll K, Ollerenshaw DR, Groblewski PA, Ponvert ND, Kiggins JT, Casal L, Mace K, Williford A, Leon A, Jia X, Ledochowitsch P, Buice MA, Wakeman W, ... Mihalas S, et al. Experience shapes activity dynamics and stimulus coding of VIP inhibitory cells. Elife. 9. PMID 32101169 DOI: 10.7554/Elife.50340  0.349
2019 de Vries SEJ, Lecoq JA, Buice MA, Groblewski PA, Ocker GK, Oliver M, Feng D, Cain N, Ledochowitsch P, Millman D, Roll K, Garrett M, Keenan T, Kuan L, Mihalas S, et al. A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex. Nature Neuroscience. PMID 31844315 DOI: 10.1038/S41593-019-0550-9  0.49
2019 Harris JA, Mihalas S, Hirokawa KE, Whitesell JD, Choi H, Bernard A, Bohn P, Caldejon S, Casal L, Cho A, Feiner A, Feng D, Gaudreault N, Gerfen CR, Graddis N, et al. Hierarchical organization of cortical and thalamic connectivity. Nature. PMID 31666704 DOI: 10.1038/S41586-019-1716-Z  0.466
2019 Gouwens NW, Sorensen SA, Berg J, Lee C, Jarsky T, Ting J, Sunkin SM, Feng D, Anastassiou CA, Barkan E, Bickley K, Blesie N, Braun T, Brouner K, Budzillo A, ... ... Mihalas S, et al. Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nature Neuroscience. PMID 31209381 DOI: 10.1038/S41593-019-0417-0  0.481
2019 Namboodiri VMK, Otis JM, van Heeswijk K, Voets ES, Alghorazi RA, Rodriguez-Romaguera J, Mihalas S, Stuber GD. Single-cell activity tracking reveals that orbitofrontal neurons acquire and maintain a long-term memory to guide behavioral adaptation. Nature Neuroscience. PMID 31160741 DOI: 10.1038/S41593-019-0408-1  0.344
2019 Choi H, Mihalas S. Synchronization dependent on spatial structures of a mesoscopic whole-brain network. Plos Computational Biology. 15: e1006978. PMID 31013267 DOI: 10.1371/Journal.Pcbi.1006978  0.319
2018 Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Abbasi-Asl R, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, ... ... Mihalas S, et al. Visual physiology of the layer 4 cortical circuit in silico. Plos Computational Biology. 14: e1006535. PMID 30419013 DOI: 10.1371/Journal.Pcbi.1006535  0.504
2018 Seeman SC, Campagnola L, Davoudian PA, Hoggarth A, Hage TA, Bosma-Moody A, Baker CA, Lee JH, Mihalas S, Teeter C, Ko AL, Ojemann JG, Gwinn RP, Silbergeld DL, Cobbs C, et al. Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex. Elife. 7. PMID 30256194 DOI: 10.7554/Elife.37349  0.489
2018 Teeter C, Iyer R, Menon V, Gouwens N, Feng D, Berg J, Szafer A, Cain N, Zeng H, Hawrylycz M, Koch C, Mihalas S. Generalized leaky integrate-and-fire models classify multiple neuron types. Nature Communications. 9: 709. PMID 29459723 DOI: 10.1038/S41467-017-02717-4  0.479
2018 Seeman SC, Campagnola L, Davoudian PA, Hoggarth A, Hage TA, Bosma-Moody A, Baker CA, Lee JH, Mihalas S, Teeter C, Ko AL, Ojemann JG, Gwinn RP, Silbergeld DL, Cobbs C, et al. Author response: Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex Elife. DOI: 10.7554/Elife.37349.032  0.401
2018 Hu Y, Brunton SL, Cain N, Mihalas S, Kutz JN, Shea-Brown E. Feedback through graph motifs relates structure and function in complex networks Physical Review E. 98. DOI: 10.1103/Physreve.98.062312  0.305
2017 Lee JH, Mihalas S. Visual processing mode switching regulated by VIP cells. Scientific Reports. 7: 1843. PMID 28500299 DOI: 10.1038/S41598-017-01830-0  0.39
2017 Lee JH, Koch C, Mihalas S. A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing. Frontiers in Computational Neuroscience. 11: 28. PMID 28487644 DOI: 10.3389/Fncom.2017.00028  0.518
2017 Gao M, Whitt JL, Huang S, Lee A, Mihalas S, Kirkwood A, Lee HK. Experience-dependent homeostasis of 'noise' at inhibitory synapses preserves information coding in adult visual cortex. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372. PMID 28093550 DOI: 10.1098/Rstb.2016.0156  0.316
2016 Durand S, Iyer R, Mizuseki K, de Vries S, Mihalas S, Reid RC. A Comparison of Visual Response Properties in the Lateral Geniculate Nucleus and Primary Visual Cortex of Awake and Anesthetized Mice. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 12144-12156. PMID 27903724 DOI: 10.1523/Jneurosci.1741-16.2016  0.362
2016 Cain N, Iyer R, Koch C, Mihalas S. The Computational Properties of a Simplified Cortical Column Model. Plos Computational Biology. 12: e1005045. PMID 27617444 DOI: 10.1371/Journal.Pcbi.1005045  0.489
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Mihalas S, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.536
2016 Hawrylycz M, Anastassiou C, Arkhipov A, Berg J, Buice M, Cain N, Gouwens NW, Gratiy S, Iyer R, Lee JH, Mihalas S, Mitelut C, Olsen S, Reid RC, Teeter C, et al. Inferring cortical function in the mouse visual system through large-scale systems neuroscience. Proceedings of the National Academy of Sciences of the United States of America. 113: 7337-44. PMID 27382147 DOI: 10.1073/Pnas.1512901113  0.501
2016 Billeh YN, Rodriguez AV, Bellesi M, Bernard A, de Vivo L, Funk CM, Harris J, Honjoh S, Mihalas S, Ng L, Koch C, Cirelli C, Tononi G. Effects of Chronic Sleep Restriction during Early Adolescence on the Adult Pattern of Connectivity of Mouse Secondary Motor Cortex. Eneuro. 3. PMID 27351022 DOI: 10.1523/ENEURO.0053-16.2016  0.31
2015 Hawrylycz M, Miller JA, Menon V, Feng D, Dolbeare T, Guillozet-Bongaarts AL, Jegga AG, Aronow BJ, Lee CK, Bernard A, Glasser MF, Dierker DL, Menche J, Szafer A, Collman F, ... ... Mihalas S, et al. Canonical genetic signatures of the adult human brain. Nature Neuroscience. PMID 26571460 DOI: 10.1038/Nn.4171  0.421
2015 Lee JH, Mihalas S. Cell-type specific connectivity accounts for diverse in vivo functional roles of inhibitory neurons in V1 Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P165  0.383
2014 Stafford JM, Jarrett BR, Miranda-Dominguez O, Mills BD, Cain N, Mihalas S, Lahvis GP, Lattal KM, Mitchell SH, David SV, Fryer JD, Nigg JT, Fair DA. Large-scale topology and the default mode network in the mouse connectome. Proceedings of the National Academy of Sciences of the United States of America. 111: 18745-50. PMID 25512496 DOI: 10.1073/Pnas.1404346111  0.315
2014 Gomez-Ramirez M, Trzcinski NK, Mihalas S, Niebur E, Hsiao SS. Temporal correlation mechanisms and their role in feature selection: a single-unit study in primate somatosensory cortex. Plos Biology. 12: e1002004. PMID 25423284 DOI: 10.1371/Journal.Pbio.1002004  0.618
2014 Ramenahalli S, Mihalas S, Niebur E. Local spectral anisotropy is a valid cue for figure-ground organization in natural scenes. Vision Research. 103: 116-26. PMID 25175115 DOI: 10.1016/J.Visres.2014.08.012  0.687
2014 Oh SW, Harris JA, Ng L, Winslow B, Cain N, Mihalas S, Wang Q, Lau C, Kuan L, Henry AM, Mortrud MT, Ouellette B, Nguyen TN, Sorensen SA, Slaughterbeck CR, et al. A mesoscale connectome of the mouse brain. Nature. 508: 207-14. PMID 24695228 DOI: 10.1038/Nature13186  0.441
2014 Mihalas S, Millman D, Iyer R, Kirkwood A, Niebur E. Nonconservative Neuronal Networks During Up-States Self-Organize Near Critical Points Criticality in Neural Systems. 437-464. DOI: 10.1002/9783527651009.ch21  0.559
2013 Jimenez ND, Mihalas S, Brown R, Niebur E, Rubin J. Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons. Siam Journal On Applied Dynamical Systems. 12: 1474-1514. PMID 24489486 DOI: 10.1137/120900435  0.614
2013 Iyer R, Menon V, Buice M, Koch C, Mihalas S. The influence of synaptic weight distribution on neuronal population dynamics. Plos Computational Biology. 9: e1003248. PMID 24204219 DOI: 10.1371/Journal.Pcbi.1003248  0.449
2013 Chen X, Mihalas S, Niebur E, Stuphorn V. Mechanisms underlying the influence of saliency on value-based decisions. Journal of Vision. 13: 18. PMID 24167161 DOI: 10.1167/13.12.18  0.606
2013 Dong Y, Mihalas S, Kim SS, Yoshioka T, Bensmaia S, Niebur E. A simple model of mechanotransduction in primate glabrous skin. Journal of Neurophysiology. 109: 1350-9. PMID 23236001 DOI: 10.1152/Jn.00395.2012  0.647
2013 Molin JL, Russell AF, Mihalas S, Niebur E, Etienne-Cummings R. Proto-object based visual saliency model with a motion-sensitive channel 2013 Ieee Biomedical Circuits and Systems Conference, Biocas 2013. 25-28. DOI: 10.1109/BioCAS.2013.6679631  0.529
2012 Stefan MI, Pepke S, Mihalas S, Bartol T, Sejnowski TJ, Kennedy MB. Modelling Ca2+ -dependent proteins in the spine - challenges and solutions F1000research. 3. DOI: 10.7490/F1000Research.1092544.1  0.707
2012 Mihalas S, Von Der Heydt R, Niebur E. A network model of multiplicative attentional modulation 2012 46th Annual Conference On Information Sciences and Systems, Ciss 2012. DOI: 10.1109/CISS.2012.6310948  0.547
2012 Ardila D, Mihalas S, Von Der Heydt R, Niebur E. Medial axis generation in a model of perceptual organization 2012 46th Annual Conference On Information Sciences and Systems, Ciss 2012. DOI: 10.1109/CISS.2012.6310946  0.53
2012 Ramenahalli S, Mihalas S, Niebur E. Figure-ground classification based on spectral properties of boundary image patches 2012 46th Annual Conference On Information Sciences and Systems, Ciss 2012. DOI: 10.1109/CISS.2012.6310943  0.545
2011 Dong Y, Mihalas S, Russell A, Etienne-Cummings R, Niebur E. Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains. Neural Computation. 23: 2833-67. PMID 21851282 DOI: 10.1162/Neco_A_00196  0.666
2011 Kim SS, Mihalas S, Russell A, Dong Y, Bensmaia SJ. Does afferent heterogeneity matter in conveying tactile feedback through peripheral nerve stimulation? Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 19: 514-20. PMID 21712163 DOI: 10.1109/Tnsre.2011.2160560  0.455
2011 Mihalas S, Dong Y, von der Heydt R, Niebur E. Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects. Proceedings of the National Academy of Sciences of the United States of America. 108: 7583-8. PMID 21502489 DOI: 10.1073/Pnas.1014655108  0.677
2011 Dong Y, Mihalas S, Niebur E. Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons. Neural Computation. 23: 421-34. PMID 21105825 DOI: 10.1162/Neco_A_00078  0.621
2011 Mihalas S, Dong Y, Von Der Heydt R, Niebur E. Event-related simulation of neural processing in complex visual scenes 2011 45th Annual Conference On Information Sciences and Systems, Ciss 2011. DOI: 10.1109/CISS.2011.5766209  0.55
2011 Ramenahalli S, Mihalas S, Niebur E. Extremal edges: Evidence in natural images 2011 45th Annual Conference On Information Sciences and Systems, Ciss 2011. DOI: 10.1109/CISS.2011.5766185  0.522
2010 Millman D, Mihalas S, Kirkwood A, Niebur E. Self-organized criticality occurs in non-conservative neuronal networks during Up states. Nature Physics. 6: 801-805. PMID 21804861 DOI: 10.1038/Nphys1757  0.625
2010 Russell A, Orchard G, Dong Y, Mihalas S, Niebur E, Tapson J, Etienne-Cummings R. Optimization methods for spiking neurons and networks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1950-62. PMID 20959265 DOI: 10.1109/Tnn.2010.2083685  0.648
2010 Pepke S, Kinzer-Ursem T, Mihalas S, Kennedy MB. A dynamic model of interactions of Ca2+, calmodulin, and catalytic subunits of Ca2+/calmodulin-dependent protein kinase II. Plos Computational Biology. 6: e1000675. PMID 20168991 DOI: 10.1371/Journal.Pcbi.1000675  0.691
2010 Masciocchi C, Mihalas S, Parkhurst D, Niebur E. Interesting locations in natural scenes draw eye movements Journal of Vision. 8: 114-114. DOI: 10.1167/8.6.114  0.743
2010 Van Schaik A, Jin C, McEwan A, Hamilton TJ, Mihalas S, Niebur E. A log-domain implementation of the Mihalas-Niebur neuron model Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 4249-4252. DOI: 10.1109/ISCAS.2010.5537563  0.555
2009 Masciocchi CM, Mihalas S, Parkhurst D, Niebur E. Everyone knows what is interesting: salient locations which should be fixated. Journal of Vision. 9: 25.1-22. PMID 20053088 DOI: 10.1167/9.11.25  0.751
2009 Folowosele F, Harrison A, Cassidy A, Andreou AG, Etienne-Cummings R, Mihalas S, Niebur E, Hamilton TJ. A switched capacitor implementation of the generalized linear integrate-and-fire neuron Proceedings - Ieee International Symposium On Circuits and Systems. 2149-2152. DOI: 10.1109/ISCAS.2009.5118121  0.55
2008 Dong Y, Mihalas S, Qiu F, von der Heydt R, Niebur E. Synchrony and the binding problem in macaque visual cortex. Journal of Vision. 8: 30.1-16. PMID 19146262 DOI: 10.1167/8.7.30  0.678
2008 Deppmann CD, Mihalas S, Sharma N, Lonze BE, Niebur E, Ginty DD. A model for neuronal competition during development. Science (New York, N.Y.). 320: 369-73. PMID 18323418 DOI: 10.1016/J.Ijdevneu.2008.09.036  0.593
2006 Shifman JM, Choi MH, Mihalas S, Mayo SL, Kennedy MB. Ca2+/calmodulin-dependent protein kinase II (CaMKII) is activated by calmodulin with two bound calciums. Proceedings of the National Academy of Sciences of the United States of America. 103: 13968-73. PMID 16966599 DOI: 10.1073/Pnas.0606433103  0.491
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2016 Namboodiri VM, Levy JM, Mihalas S, Sims DW, Hussain Shuler MG. Rationalizing spatial exploration patterns of wild animals and humans through a temporal discounting framework. Proceedings of the National Academy of Sciences of the United States of America. PMID 27385831 DOI: 10.1073/Pnas.1601664113  0.293
2022 Aitken K, Garrett M, Olsen S, Mihalas S. The geometry of representational drift in natural and artificial neural networks. Plos Computational Biology. 18: e1010716. PMID 36441762 DOI: 10.1371/journal.pcbi.1010716  0.285
2022 Shi J, Tripp B, Shea-Brown E, Mihalas S, A Buice M. MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. Plos Computational Biology. 18: e1010427. PMID 36067234 DOI: 10.1371/journal.pcbi.1010427  0.28
2015 Namboodiri VM, Mihalas S, Shuler MG. Analytical Calculation of Errors in Time and Value Perception due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law. Neural Computation. 1-29. PMID 26599714 DOI: 10.1162/Neco_A_00792  0.279
2011 Mihalas S. Calcium messenger heterogeneity: a possible signal for spike timing-dependent plasticity. Frontiers in Computational Neuroscience. 4: 158. PMID 21258620 DOI: 10.3389/Fncom.2010.00158  0.27
2022 Yao S, Wang Q, Hirokawa KE, Ouellette B, Ahmed R, Bomben J, Brouner K, Casal L, Caldejon S, Cho A, Dotson NI, Daigle TL, Egdorf T, Enstrom R, Gary A, ... ... Mihalas S, et al. A whole-brain monosynaptic input connectome to neuron classes in mouse visual cortex. Nature Neuroscience. PMID 36550293 DOI: 10.1038/s41593-022-01219-x  0.27
2014 Suo D, Park J, Harrington AW, Zweifel LS, Mihalas S, Deppmann CD. Coronin-1 is a neurotrophin endosomal effector that is required for developmental competition for survival. Nature Neuroscience. 17: 36-45. PMID 24270184 DOI: 10.1038/Nn.3593  0.269
2014 Namboodiri VM, Mihalas S, Hussain Shuler MG. A temporal basis for Weber's law in value perception. Frontiers in Integrative Neuroscience. 8: 79. PMID 25352791 DOI: 10.3389/Fnint.2014.00079  0.268
2023 Aitken K, Campagnola L, Garrett M, Olsen S, Mihalas S. Familiarity modulated synapses model visual cortical circuit novelty responses. Biorxiv : the Preprint Server For Biology. PMID 37645978 DOI: 10.1101/2023.08.16.553635  0.256
2023 Winston CN, Mastrovito D, Shea-Brown E, Mihalas S. Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks. Neural Computation. 35: 555-592. PMID 36827598 DOI: 10.1162/neco_a_01571  0.255
2014 Namboodiri VM, Mihalas S, Marton TM, Hussain Shuler MG. A general theory of intertemporal decision-making and the perception of time. Frontiers in Behavioral Neuroscience. 8: 61. PMID 24616677 DOI: 10.3389/Fnbeh.2014.00061  0.249
2020 Garrett M, Manavi S, Roll K, Ollerenshaw DR, Groblewski PA, Ponvert ND, Kiggins JT, Casal L, Mace K, Williford A, Leon A, Jia X, Ledochowitsch P, Buice MA, Wakeman W, ... Mihalas S, et al. Author response: Experience shapes activity dynamics and stimulus coding of VIP inhibitory cells Elife. DOI: 10.7554/Elife.50340.Sa2  0.243
2019 Knox JE, Harris KD, Graddis N, Whitesell JD, Zeng H, Harris JA, Shea-Brown E, Mihalas S. High-resolution data-driven model of the mouse connectome. Network Neuroscience (Cambridge, Mass.). 3: 217-236. PMID 30793081 DOI: 10.1162/netn_a_00066  0.218
2011 Biancaniello P, Darvill J, Hinnerschitz N, Hummel J, Mihalas S. Towards a biologically-inspired model for relational mapping using spiking neurons Frontiers in Artificial Intelligence and Applications. 233: 38-43. DOI: 10.3233/978-1-60750-959-2-38  0.211
2021 Liu YH, Smith S, Mihalas S, Shea-Brown E, Sümbül U. Cell-type-specific neuromodulation guides synaptic credit assignment in a spiking neural network. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34916291 DOI: 10.1073/pnas.2111821118  0.21
2023 Aitken K, Mihalas S. Neural population dynamics of computing with synaptic modulations. Elife. 12. PMID 36820526 DOI: 10.7554/eLife.83035  0.205
2017 Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Mihalas S, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1  0.202
2020 Whitesell JD, Liska A, Coletta L, Hirokawa KE, Bohn P, Williford A, Groblewski PA, Graddis N, Kuan L, Knox JE, Ho A, Wakeman W, Nicovich PR, Nguyen TN, van Velthoven CTJ, ... ... Mihalas S, et al. Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network. Neuron. PMID 33290731 DOI: 10.1016/j.neuron.2020.11.011  0.202
2021 Farrell M, Recanatesi S, Reid RC, Mihalas S, Shea-Brown E. Autoencoder networks extract latent variables and encode these variables in their connectomes. Neural Networks : the Official Journal of the International Neural Network Society. 141: 330-343. PMID 33957382 DOI: 10.1016/j.neunet.2021.03.010  0.188
2019 Choi H, Mihalas S. Synchronization dependent on spatial structures of a mesoscopic whole-brain network Plos Computational Biology. 15: e1006978. PMID 31013267 DOI: 10.1371/journal.pcbi.1006978  0.186
2023 Koelle S, Mastrovito D, Whitesell JD, Hirokawa KE, Zeng H, Meila M, Harris JA, Mihalas S. Modeling the cell-type-specific mesoscale murine connectome with anterograde tracing experiments. Network Neuroscience (Cambridge, Mass.). 7: 1497-1512. PMID 38144695 DOI: 10.1162/netn_a_00337  0.177
2023 Voina D, Shea-Brown E, Mihalas S. A biologically inspired architecture with switching units can learn to generalize across backgrounds. Neural Networks : the Official Journal of the International Neural Network Society. 168: 615-630. PMID 37839332 DOI: 10.1016/j.neunet.2023.09.014  0.162
2023 Liu YH, Baratin A, Cornford J, Mihalas S, Shea-Brown E, Lajoie G. How connectivity structure shapes rich and lazy learning in neural circuits. Arxiv. PMID 37873007  0.115
2010 Mihalas S. Calcium messenger heterogeneity: A possible signal for spike-timing-dependent plasticity Frontiers in Computational Neuroscience. 4.  0.089
2021 Mihalas S, Ardiles A, He K, Palacios A, Kirkwood A. A Multisubcellular Compartment Model of AMPA Receptor Trafficking for Neuromodulation of Hebbian Synaptic Plasticity. Frontiers in Synaptic Neuroscience. 13: 703621. PMID 34456706 DOI: 10.3389/fnsyn.2021.703621  0.08
2022 Jeong H, Taylor A, Floeder JR, Lohmann M, Mihalas S, Wu B, Zhou M, Burke DA, Namboodiri VMK. Mesolimbic dopamine release conveys causal associations. Science (New York, N.Y.). eabq6740. PMID 36480599 DOI: 10.1126/science.abq6740  0.066
2014 Namboodiri VMK, Mihalas S, Shuler MGH. Rationalizing Decision-Making: Understanding the Cost and Perception of Time Timing & Time Perception Reviews. 1: 1-40. DOI: 10.1163/24054496-00101004  0.051
2008 Powell H, Mihalas S, Onwuegbuzie AJ, Suldo S, Daley CE. Mixed methods research in school psychology: A mixed methods investigation of trends in the literature Psychology in the Schools. 45: 291-309. DOI: 10.1002/Pits.20296  0.046
2008 Suldo SM, Mihalas S, Powell H, French R. Ecological Predictors of Substance Use in Middle School Students School Psychology Quarterly. 23: 373-388. DOI: 10.1037/1045-3830.23.3.373  0.039
2009 Mihalas S, Morse WC, Allsopp DH, Alvarez McHatton P. Cultivating caring relationships between teachers and secondary students with emotional and behavioral disorders: Implications for research and practice Remedial and Special Education. 30: 108-125. DOI: 10.1177/0741932508315950  0.03
1997 Dimopoulos MA, Papadimitriou C, Gennatas C, Akrivos T, Vlahos G, Voulgaris Z, Diacomanolis E, Athanassiades P, Mihalas S. Ifosfamide and paclitaxel salvage chemotherapy for advanced epithelial ovarian cancer. Annals of Oncology : Official Journal of the European Society For Medical Oncology / Esmo. 8: 195-7. PMID 9093731 DOI: 10.1023/A:1008293415079  0.018
2010 Friedrich AA, Rafraele Mendez LM, Mihalas ST. Gender as a factor in school-based mental health service delivery School Psychology Review. 39: 122-136.  0.01
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