| Slow dynamics and high variability in balanced cortical networks with clustered connections A Litwin-Kumar, B Doiron Nature Neuroscience 15 (11), 1498, 2012 | 673 | 2012 |
| The complete connectome of a learning and memory centre in an insect brain K Eichler, F Li, A Litwin-Kumar, Y Park, I Andrade, CM Schneider-Mizell, ... Nature 548 (7666), 175-182, 2017 | 564 | 2017 |
| Optimal degrees of synaptic connectivity A Litwin-Kumar, KD Harris, R Axel, H Sompolinsky, LF Abbott Neuron 93 (5), 1153-1164, 2017 | 405 | 2017 |
| The connectome of the adult Drosophila mushroom body provides insights into function F Li, JW Lindsey, EC Marin, N Otto, M Dreher, G Dempsey, I Stark, ... eLife 9, e62576, 2020 | 390 | 2020 |
| Formation and maintenance of neuronal assemblies through synaptic plasticity A Litwin-Kumar, B Doiron Nature Communications 5, 5319, 2014 | 335 | 2014 |
| The mechanics of state-dependent neural correlations B Doiron, A Litwin-Kumar, R Rosenbaum, GK Ocker, K Josić Nature Neuroscience 19 (3), 383, 2016 | 289 | 2016 |
| Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes A Litwin-Kumar, R Rosenbaum, B Doiron Journal of Neurophysiology 115 (3), 1399-1409, 2016 | 169 | 2016 |
| Recurrent architecture for adaptive regulation of learning in the insect brain C Eschbach, A Fushiki, M Winding, CM Schneider-Mizell, M Shao, ... Nature Neuroscience 23, 544-555, 2020 | 163 | 2020 |
| A multilayer circuit architecture for the generation of distinct locomotor behaviors in Drosophila AA Zarin, B Mark, A Cardona, A Litwin-Kumar, CQ Doe eLife 8, e51781, 2019 | 131* | 2019 |
| Nitric oxide acts as a cotransmitter in a subset of dopaminergic neurons to diversify memory dynamics Y Aso, RP Ray, X Long, D Bushey, K Cichewicz, TTB Ngo, B Sharp, ... eLife 8, e49257, 2019 | 131 | 2019 |
| Scaling properties of dimensionality reduction for neural populations and network models RC Williamson, BR Cowley, A Litwin-Kumar, B Doiron, A Kohn, MA Smith, ... PLOS Computational Biology 12 (12), e1005141, 2016 | 118 | 2016 |
| Context-dependent decision making in a premotor circuit Z Wu, A Litwin-Kumar, P Shamash, A Taylor, R Axel, MN Shadlen Neuron 106 (2), 316-328, 2020 | 103 | 2020 |
| Self-organization of microcircuits in networks of spiking neurons with plastic synapses GK Ocker, A Litwin-Kumar, B Doiron PLOS Computational Biology 11 (8), e1004458, 2015 | 98 | 2015 |
| Feedback alignment in deep convolutional networks TH Moskovitz, A Litwin-Kumar, LF Abbott arXiv:1812.06488, 2018 | 82 | 2018 |
| Balanced synaptic input shapes the correlation between neural spike trains A Litwin-Kumar, AMM Oswald, NN Urban, B Doiron PLOS Computational Biology 7 (12), e1002305, 2011 | 67 | 2011 |
| A developmental framework linking neurogenesis and circuit formation in the Drosophila CNS B Mark, SL Lai, AA Zarin, L Manning, HQ Pollington, A Litwin-Kumar, ... eLife 10, e67510, 2021 | 55 | 2021 |
| Balanced neural architecture and the idling brain B Doiron, A Litwin-Kumar Frontiers in Computational Neuroscience 8, 56, 2014 | 52 | 2014 |
| Dimension of activity in random neural networks DG Clark, LF Abbott, A Litwin-Kumar Physical Review Letters 131 (11), 118401, 2023 | 51 | 2023 |
| The spatial structure of stimuli shapes the timescale of correlations in population spiking activity A Litwin-Kumar, MJ Chacron, B Doiron PLOS Computational Biology 8 (9), e1002667, 2012 | 50 | 2012 |
| Models of heterogeneous dopamine signaling in an insect learning and memory center L Jiang, A Litwin-Kumar PLOS Computational Biology 17 (8), e1009205, 2021 | 48 | 2021 |
