Larry F. Abbott - Publications

Physiology and Cellular Biophysics Columbia University, New York, NY 
Computation & Theory

154 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
2020 Abbott L, Svoboda K. Brain-wide interactions between neural circuits. Current Opinion in Neurobiology. 65: iii-v. PMID 33357763 DOI: 10.1016/j.conb.2020.12.012  0.387
2020 Li F, Lindsey JW, Marin EC, Otto N, Dreher M, Dempsey G, Stark I, Bates AS, Pleijzier MW, Schlegel P, Nern A, Takemura SY, Eckstein N, Yang T, Francis A, ... ... Abbott LF, et al. The connectome of the adult mushroom body provides insights into function. Elife. 9. PMID 33315010 DOI: 10.7554/eLife.62576  0.343
2020 Abbott LF, Bock DD, Callaway EM, Denk W, Dulac C, Fairhall AL, Fiete I, Harris KM, Helmstaedter M, Jain V, Kasthuri N, LeCun Y, Lichtman JW, Littlewood PB, Luo L, et al. The Mind of a Mouse. Cell. 182: 1372-1376. PMID 32946777 DOI: 10.1016/J.Cell.2020.08.010  0.757
2020 Wang PY, Boboila C, Chin M, Higashi-Howard A, Shamash P, Wu Z, Stein NP, Abbott LF, Axel R. Transient and Persistent Representations of Odor Value in Prefrontal Cortex. Neuron. PMID 32827456 DOI: 10.1016/j.neuron.2020.07.033  0.514
2020 Liou JY, Smith EH, Bateman LM, Bruce SL, McKhann GM, Goodman RR, Emerson RG, Schevon CA, Abbott LF. A model for focal seizure onset, propagation, evolution, and progression. Elife. 9. PMID 32202494 DOI: 10.7554/Elife.50927  0.738
2020 Iascone DM, Li Y, Sümbül U, Doron M, Chen H, Andreu V, Goudy F, Blockus H, Abbott LF, Segev I, Peng H, Polleux F. Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking. Neuron. PMID 32169170 DOI: 10.1016/J.Neuron.2020.02.015  0.399
2019 Kim SS, Hermundstad AM, Romani S, Abbott LF, Jayaraman V. Generation of stable heading representations in diverse visual scenes. Nature. PMID 31748750 DOI: 10.1038/S41586-019-1767-1  0.421
2019 Ingrosso A, Abbott LF. Training dynamically balanced excitatory-inhibitory networks. Plos One. 14: e0220547. PMID 31393909 DOI: 10.1371/journal.pone.0220547  0.459
2019 Abbott LF, Marder E, Hooper SL. Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons. Neural Computation. 3: 487-497. PMID 31167330 DOI: 10.1162/neco.1991.3.4.487  0.688
2019 Jercog PE, Ahmadian Y, Woodruff C, Deb-Sen R, Abbott LF, Kandel ER. Heading direction with respect to a reference point modulates place-cell activity. Nature Communications. 10: 2333. PMID 31133685 DOI: 10.1038/S41467-019-10139-7  0.797
2019 Dempsey C, Abbott LF, Sawtell NB. Generalization of learned responses in the mormyrid electrosensory lobe. Elife. 8. PMID 30860480 DOI: 10.7554/eLife.44032  0.369
2018 Pandarinath C, O'Shea DJ, Collins J, Jozefowicz R, Stavisky SD, Kao JC, Trautmann EM, Kaufman MT, Ryu SI, Hochberg LR, Henderson JM, Shenoy KV, Abbott LF, Sussillo D. Inferring single-trial neural population dynamics using sequential auto-encoders. Nature Methods. PMID 30224673 DOI: 10.1038/S41592-018-0109-9  0.787
2018 Schaffer ES, Stettler DD, Kato D, Choi GB, Axel R, Abbott LF. Odor Perception on the Two Sides of the Brain: Consistency Despite Randomness. Neuron. PMID 29706585 DOI: 10.1016/J.Neuron.2018.04.004  0.784
2018 Stern M, Bolding KA, Abbott LF, Franks KM. A transformation from temporal to ensemble coding in a model of piriform cortex. Elife. 7. PMID 29595470 DOI: 10.7554/eLife.34831  0.316
2018 DePasquale B, Cueva CJ, Rajan K, Escola GS, Abbott LF. full-FORCE: A target-based method for training recurrent networks. Plos One. 13: e0191527. PMID 29415041 DOI: 10.1371/Journal.Pone.0191527  0.799
2017 Rubin R, Abbott LF, Sompolinsky H. Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity. Proceedings of the National Academy of Sciences of the United States of America. PMID 29042519 DOI: 10.1073/pnas.1705841114  0.649
2017 Eichler K, Li F, Litwin-Kumar A, Park Y, Andrade I, Schneider-Mizell CM, Saumweber T, Huser A, Eschbach C, Gerber B, Fetter RD, Truman JW, Priebe CE, Abbott LF, Thum AS, et al. The complete connectome of a learning and memory centre in an insect brain. Nature. 548: 175-182. PMID 28796202 DOI: 10.1038/Nature23455  0.45
2017 Hattori D, Aso Y, Swartz KJ, Rubin GM, Abbott LF, Axel R. Representations of Novelty and Familiarity in a Mushroom Body Compartment. Cell. PMID 28502772 DOI: 10.1016/J.Cell.2017.04.028  0.597
2017 Litwin-Kumar A, Harris KD, Axel R, Sompolinsky H, Abbott LF. Optimal Degrees of Synaptic Connectivity. Neuron. PMID 28215558 DOI: 10.1016/J.Neuron.2017.01.030  0.732
2016 Lalazar H, Abbott LF, Vaadia E. Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity. Plos Computational Biology. 12: e1004910. PMID 27224735 DOI: 10.1371/journal.pcbi.1004910  0.449
2016 Gabitto MI, Pakman A, Bikoff JB, Abbott LF, Jessell TM, Paninski L. Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons. Cell. PMID 26949187 DOI: 10.1016/J.Cell.2016.01.026  0.571
2016 Babadi B, Abbott LF. Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity. Plos Computational Biology. 12: e1004750. PMID 26939080 DOI: 10.1371/journal.pcbi.1004750  0.406
2016 Abbott LF, DePasquale B, Memmesheimer RM. Building functional networks of spiking model neurons. Nature Neuroscience. 19: 350-5. PMID 26906501 DOI: 10.1038/Nn.4241  0.817
2016 Babadi B, Abbott LF. Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity Plos Computational Biology. 12. DOI: 10.1371/journal.pcbi.1004750  0.405
2016 Abbott LF, DePasquale B, Memmesheimer RM. Building functional networks of spiking model neurons Nature Neuroscience. 19: 350-355. DOI: 10.1038/nn.4241  0.808
2014 Stern M, Sompolinsky H, Abbott LF. Dynamics of random neural networks with bistable units. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062710. PMID 25615132 DOI: 10.1103/PhysRevE.90.062710  0.632
2014 Aso Y, Hattori D, Yu Y, Johnston RM, Iyer NA, Ngo TT, Dionne H, Abbott LF, Axel R, Tanimoto H, Rubin GM. The neuronal architecture of the mushroom body provides a logic for associative learning. Elife. 3: e04577. PMID 25535793 DOI: 10.7554/Elife.04577  0.613
2014 Le Masson G, Przedborski S, Abbott LF. A computational model of motor neuron degeneration. Neuron. 83: 975-88. PMID 25088365 DOI: 10.1016/J.Neuron.2014.07.001  0.366
2014 Wayne G, Abbott LF. Hierarchical control using networks trained with higher-level forward models. Neural Computation. 26: 2163-93. PMID 25058706 DOI: 10.1162/Neco_A_00639  0.617
2014 Fink AJ, Croce KR, Huang ZJ, Abbott LF, Jessell TM, Azim E. Presynaptic inhibition of spinal sensory feedback ensures smooth movement. Nature. 509: 43-8. PMID 24784215 DOI: 10.1038/Nature13276  0.705
2014 Kennedy A, Wayne G, Kaifosh P, Alviña K, Abbott LF, Sawtell NB. A temporal basis for predicting the sensory consequences of motor commands in an electric fish. Nature Neuroscience. 17: 416-22. PMID 24531306 DOI: 10.1038/Nn.3650  0.781
2014 Kato S, Xu Y, Cho CE, Abbott LF, Bargmann CI. Temporal responses of C. elegans chemosensory neurons are preserved in behavioral dynamics. Neuron. 81: 616-28. PMID 24440227 DOI: 10.1016/J.Neuron.2013.11.020  0.6
2013 Schaffer ES, Ostojic S, Abbott LF. A complex-valued firing-rate model that approximates the dynamics of spiking networks. Plos Computational Biology. 9: e1003301. PMID 24204236 DOI: 10.1371/Journal.Pcbi.1003301  0.811
2013 Caron SJ, Ruta V, Abbott LF, Axel R. Random convergence of olfactory inputs in the Drosophila mushroom body. Nature. 497: 113-7. PMID 23615618 DOI: 10.1038/nature12063  0.597
2013 Barak O, Sussillo D, Romo R, Tsodyks M, Abbott LF. From fixed points to chaos: three models of delayed discrimination. Progress in Neurobiology. 103: 214-22. PMID 23438479 DOI: 10.1016/J.Pneurobio.2013.02.002  0.811
2013 Babadi B, Abbott LF. Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. Plos Computational Biology. 9: e1002906. PMID 23436986 DOI: 10.1371/journal.pcbi.1002906  0.464
2012 Churchland MM, Abbott LF. Two layers of neural variability. Nature Neuroscience. 15: 1472-4. PMID 23103992 DOI: 10.1038/nn.3247  0.341
2012 White B, Abbott LF, Fiser J. Suppression of cortical neural variability is stimulus- and state-dependent. Journal of Neurophysiology. 108: 2383-92. PMID 22896720 DOI: 10.1152/jn.00723.2011  0.305
2012 Sussillo D, Abbott LF. Transferring learning from external to internal weights in echo-state networks with sparse connectivity. Plos One. 7: e37372. PMID 22655041 DOI: 10.1371/Journal.Pone.0037372  0.755
2012 Abbott LF, Kandel ER. A computational approach enhances learning in Aplysia. Nature Neuroscience. 15: 178-9. PMID 22281713 DOI: 10.1038/nn.3030  0.454
2011 Toyoizumi T, Abbott LF. Beyond the edge of chaos: amplification and temporal integration by recurrent networks in the chaotic regime. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 051908. PMID 22181445 DOI: 10.1103/PhysRevE.84.051908  0.765
2011 Monaco JD, Abbott LF, Abbott LF. Modular realignment of entorhinal grid cell activity as a basis for hippocampal remapping. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 9414-25. PMID 21697391 DOI: 10.1523/JNEUROSCI.1433-11.2011  0.786
2011 Abbott LF, Rajan K, Sompolinsky H. Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance. DOI: 10.1093/acprof:oso/9780195393798.003.0004  0.652
2010 Babadi B, Abbott LF. Intrinsic stability of temporally shifted spike-timing dependent plasticity. Plos Computational Biology. 6: e1000961. PMID 21079671 DOI: 10.1371/journal.pcbi.1000961  0.379
2010 Rajan K, Abbott LF, Sompolinsky H. Stimulus-dependent suppression of chaos in recurrent neural networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 82: 011903. PMID 20866644 DOI: 10.1103/PhysRevE.82.011903  0.713
2010 Luo SX, Axel R, Abbott LF. Generating sparse and selective third-order responses in the olfactory system of the fly. Proceedings of the National Academy of Sciences of the United States of America. 107: 10713-8. PMID 20498080 DOI: 10.1073/pnas.1005635107  0.782
2010 Chalasani SH, Kato S, Albrecht DR, Nakagawa T, Abbott LF, Bargmann CI. Neuropeptide feedback modifies odor-evoked dynamics in Caenorhabditis elegans olfactory neurons. Nature Neuroscience. 13: 615-21. PMID 20364145 DOI: 10.1038/Nn.2526  0.608
2010 Rajan K, Abbott LF, Sompolinsky H. Inferring stimulus selectivity from the spatial structure of neural network dynamics Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.638
2009 Sussillo D, Abbott LF. Generating coherent patterns of activity from chaotic neural networks. Neuron. 63: 544-57. PMID 19709635 DOI: 10.1016/J.Neuron.2009.07.018  0.761
2009 Muzzio IA, Levita L, Kulkarni J, Monaco J, Kentros C, Stead M, Abbott LF, Kandel ER. Attention enhances the retrieval and stability of visuospatial and olfactory representations in the dorsal hippocampus. Plos Biology. 7: e1000140. PMID 19564903 DOI: 10.1371/journal.pbio.1000140  0.783
2009 George MS, Abbott LF, Siegelbaum SA. HCN hyperpolarization-activated cation channels inhibit EPSPs by interactions with M-type K(+) channels. Nature Neuroscience. 12: 577-84. PMID 19363490 DOI: 10.1038/Nn.2307  0.354
2009 Vogels TP, Abbott LF. Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. Nature Neuroscience. 12: 483-91. PMID 19305402 DOI: 10.1038/nn.2276  0.782
2008 Itskov V, Abbott LF. Pattern capacity of a perceptron for sparse discrimination. Physical Review Letters. 101: 018101. PMID 18764154 DOI: 10.1103/Physrevlett.101.018101  0.719
2008 Brozovi? M, Abbott LF, Andersen RA. Mechanism of gain modulation at single neuron and network levels. Journal of Computational Neuroscience. 25: 158-68. PMID 18214663 DOI: 10.1007/s10827-007-0070-6  0.387
2007 Parga N, Abbott LF. Network model of spontaneous activity exhibiting synchronous transitions between up and down States. Frontiers in Neuroscience. 1: 57-66. PMID 18982119 DOI: 10.3389/Neuro.  0.481
2007 Vogels TP, Abbott LF. Gating deficits in model networks: a path to schizophrenia? Pharmacopsychiatry. 40: S73-7. PMID 18080946 DOI: 10.1055/s-2007-992130  0.758
2007 Abbott LF, Luo SX. A step toward optimal coding in olfaction. Nature Neuroscience. 10: 1342-3. PMID 17965649 DOI: 10.1038/nn1107-1342  0.625
2007 Abbott LF, Rohrkemper R. A simple growth model constructs critical avalanche networks. Progress in Brain Research. 165: 13-9. PMID 17925237 DOI: 10.1016/S0079-6123(06)65002-4  0.418
2007 Rajan K, Abbott LF. Temperature-compensated chemical reactions. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 75: 022902. PMID 17358384 DOI: 10.1103/PhysRevE.75.022902  0.391
2007 Fusi S, Abbott LF. Limits on the memory storage capacity of bounded synapses. Nature Neuroscience. 10: 485-93. PMID 17351638 DOI: 10.1038/nn1859  0.675
2007 Monaco JD, Abbott LF, Kahana MJ. Lexico-semantic structure and the word-frequency effect in recognition memory. Learning & Memory (Cold Spring Harbor, N.Y.). 14: 204-13. PMID 17351146 DOI: 10.1101/lm.363207  0.748
2007 Abbott L. Invited talk: The role of spontaneous activity in sensory processing Bmc Neuroscience. 8: 1-1. DOI: 10.1186/1471-2202-8-S2-S18  0.377
2006 Swinehart CD, Abbott LF. Dimensional reduction for reward-based learning. Network (Bristol, England). 17: 235-52. PMID 17162613 DOI: 10.1080/09548980600773215  0.801
2006 Rajan K, Abbott LF. Eigenvalue spectra of random matrices for neural networks. Physical Review Letters. 97: 188104. PMID 17155583 DOI: 10.1103/PhysRevLett.97.188104  0.567
2006 Rumsey CC, Abbott LF. Synaptic democracy in active dendrites. Journal of Neurophysiology. 96: 2307-18. PMID 16837665 DOI: 10.1152/jn.00149.2006  0.653
2006 Billimoria CP, DiCaprio RA, Birmingham JT, Abbott LF, Marder E. Neuromodulation of spike-timing precision in sensory neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 5910-9. PMID 16738233 DOI: 10.1523/Jneurosci.4659-05.2006  0.64
2006 Drew PJ, Abbott LF. Extending the effects of spike-timing-dependent plasticity to behavioral timescales. Proceedings of the National Academy of Sciences of the United States of America. 103: 8876-81. PMID 16731625 DOI: 10.1073/pnas.0600676103  0.617
2006 Drew PJ, Abbott LF. Models and properties of power-law adaptation in neural systems. Journal of Neurophysiology. 96: 826-33. PMID 16641386 DOI: 10.1152/jn.00134.2006  0.562
2006 Abbott LF. Causality and learning in neural systems Deserfest: a Celebration of the Life and Works of Stanley Deser: Michigan Center For Theoretical Physics, University of Michigan, Ann Arbor, Usa, 3-5 April 2004. 8-14. DOI: 10.1142/9789812774804_0001  0.314
2005 Vogels TP, Abbott LF. Signal propagation and logic gating in networks of integrate-and-fire neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 10786-95. PMID 16291952 DOI: 10.1523/JNEUROSCI.3508-05.2005  0.793
2005 Abbott LF, Chance FS. Drivers and modulators from push-pull and balanced synaptic input. Progress in Brain Research. 149: 147-55. PMID 16226582 DOI: 10.1016/S0079-6123(05)49011-1  0.558
2005 Vogels TP, Rajan K, Abbott LF. Neural network dynamics. Annual Review of Neuroscience. 28: 357-76. PMID 16022600 DOI: 10.1146/annurev.neuro.28.061604.135637  0.798
2005 Swinehart CD, Abbott LF. Supervised learning through neuronal response modulation. Neural Computation. 17: 609-31. PMID 15802008 DOI: 10.1162/0899766053019980  0.824
2005 Fusi S, Drew PJ, Abbott LF. Cascade models of synaptically stored memories. Neuron. 45: 599-611. PMID 15721245 DOI: 10.1016/j.neuron.2005.02.001  0.737
2004 Prinz AA, Abbott LF, Marder E. The dynamic clamp comes of age. Trends in Neurosciences. 27: 218-24. PMID 15046881 DOI: 10.1016/j.tins.2004.02.004  0.696
2004 Rumsey CC, Abbott LF. Equalization of synaptic efficacy by activity- and timing-dependent synaptic plasticity. Journal of Neurophysiology. 91: 2273-80. PMID 14681332 DOI: 10.1152/jn.00900.2003  0.636
2004 Rumsey CC, Abbott LF. Synaptic equalization by anti-STDP Neurocomputing. 58: 359-364. DOI: 10.1016/j.neucom.2004.01.067  0.672
2004 Swinehart CD, Bouchard K, Partensky P, Abbott LF. Control of network activity through neuronal response modulation Neurocomputing. 58: 327-335. DOI: 10.1016/j.neucom.2004.01.063  0.826
2003 Abbott LF. Balancing homeostasis and learning in neural circuits. Zoology (Jena, Germany). 106: 365-71. PMID 16351920 DOI: 10.1078/0944-2006-00133  0.328
2003 Drew PJ, Abbott LF. Model of song selectivity and sequence generation in area HVc of the songbird. Journal of Neurophysiology. 89: 2697-706. PMID 12612042 DOI: 10.1152/jn.00801.2002  0.611
2002 Chance FS, Abbott LF, Reyes AD. Gain modulation from background synaptic input. Neuron. 35: 773-82. PMID 12194875 DOI: 10.1016/S0896-6273(02)00820-6  0.786
2002 Abbott LF, Chance FS. Rethinking the taxonomy of visual neurons. Nature Neuroscience. 5: 391-2. PMID 11976697 DOI: 10.1038/nn0502-391  0.521
2002 Golowasch J, Goldman MS, Abbott LF, Marder E. Failure of averaging in the construction of a conductance-based neuron model. Journal of Neurophysiology. 87: 1129-31. PMID 11826077 DOI: 10.1152/Jn.00412.2001  0.728
2002 Goldman MS, Maldonado P, Abbott LF. Redundancy reduction and sustained firing with stochastic depressing synapses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 22: 584-91. PMID 11784806 DOI: 10.1523/Jneurosci.22-02-00584.2002  0.606
2002 Drew PJ, Abbott LF. Modeling temporal combination selective neurons of the songbird Neurocomputing. 44: 789-794. DOI: 10.1016/S0925-2312(02)00473-3  0.625
2001 Song S, Abbott LF. Cortical development and remapping through spike timing-dependent plasticity. Neuron. 32: 339-50. PMID 11684002 DOI: 10.1016/S0896-6273(01)00451-2  0.608
2001 Salinas E, Abbott LF. Coordinate transformations in the visual system: how to generate gain fields and what to compute with them. Progress in Brain Research. 130: 175-90. PMID 11480274 DOI: 10.1016/S0079-6123(01)30012-2  0.51
2001 Goldman MS, Golowasch J, Marder E, Abbott LF. Global structure, robustness, and modulation of neuronal models. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 21: 5229-38. PMID 11438598 DOI: 10.1523/Jneurosci.21-14-05229.2001  0.724
2001 Brunel N, Chance FS, Fourcaud N, Abbott LF. Effects of synaptic noise and filtering on the frequency response of spiking neurons. Physical Review Letters. 86: 2186-9. PMID 11289886 DOI: 10.1103/PhysRevLett.86.2186  0.717
2001 Soto-Treviño C, Thoroughman KA, Marder E, Abbott LF. Activity-dependent modification of inhibitory synapses in models of rhythmic neural networks. Nature Neuroscience. 4: 297-303. PMID 11224547 DOI: 10.1038/85147  0.695
2001 Chance FS, Abbott LF. Input-specific adaptation in complex cells through synaptic depression Neurocomputing. 38: 141-146. DOI: 10.1016/S0925-2312(01)00550-1  0.595
2000 Abbott LF, Nelson SB. Synaptic plasticity: taming the beast. Nature Neuroscience. 3: 1178-83. PMID 11127835 DOI: 10.1038/81453  0.602
2000 Song S, Miller KD, Abbott LF. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neuroscience. 3: 919-26. PMID 10966623 DOI: 10.1038/78829  0.664
2000 Chance FS, Abbott LF. Divisive inhibition in recurrent networks. Network (Bristol, England). 11: 119-29. PMID 10880002  0.55
2000 Salinas E, Abbott LF. Do simple cells in primary visual cortex form a tight frame? Neural Computation. 12: 313-35. PMID 10636945 DOI: 10.1162/089976600300015817  0.612
2000 Zhang J, Abbott LF. Gain modulation of recurrent networks Neurocomputing. 32: 623-628. DOI: 10.1016/S0925-2312(00)00224-1  0.445
2000 Song S, Abbott LF. Temporally asymmetric Hebbian learning and neuronal response variability Neurocomputing. 32: 523-528. DOI: 10.1016/S0925-2312(00)00208-3  0.635
2000 Chance FS, Nelson SB, Abbott LF. A recurrent network model for the phase invariance of complex cell responses Neurocomputing. 32: 339-344. DOI: 10.1016/S0925-2312(00)00183-1  0.733
2000 Goldman MS, Golowasch J, Marder E, Abbott LF. Dependence of firing pattern on intrinsic ionic conductances: Sensitive and insensitive combinations Neurocomputing. 32: 141-146. DOI: 10.1016/S0925-2312(00)00155-7  0.736
1999 Birmingham JT, Szuts ZB, Abbott LF, Marder E. Encoding of muscle movement on two time scales by a sensory neuron that switches between spiking and bursting modes. Journal of Neurophysiology. 82: 2786-97. PMID 10561445 DOI: 10.1152/Jn.1999.82.5.2786  0.661
1999 Golowasch J, Abbott LF, Marder E. Activity-dependent regulation of potassium currents in an identified neuron of the stomatogastric ganglion of the crab Cancer borealis. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 19: RC33. PMID 10516335 DOI: 10.1523/Jneurosci.19-20-J0004.1999  0.602
1999 Golowasch J, Casey M, Abbott LF, Marder E. Network stability from activity-dependent regulation of neuronal conductances. Neural Computation. 11: 1079-96. PMID 10418158 DOI: 10.1162/089976699300016359  0.696
1999 Chance FS, Nelson SB, Abbott LF. Complex cells as cortically amplified simple cells. Nature Neuroscience. 2: 277-82. PMID 10195222 DOI: 10.1038/6381  0.712
1999 Abbott LF, Dayan P. The effect of correlated variability on the accuracy of a population code. Neural Computation. 11: 91-101. PMID 9950724 DOI: 10.1162/089976699300016827  0.352
1999 Goldman MS, Nelson SB, Abbott LF. Decorrelation of spike trains by synaptic depression Neurocomputing. 26: 147-153. DOI: 10.1016/S0925-2312(99)00068-5  0.706
1999 Marder E, Golowasch J, Richards KS, Soto-Treviňo C, Miller WL, Abbott LF. Self-assembly of oscillatory neurons and networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1606: 1-11. DOI: 10.1007/BFb0098155  0.687
1999 Chance FS, Nelson SB, Abbott LF. Recurrent cortical amplification produces complex cell responses Advances in Neural Information Processing Systems. 90-96.  0.631
1998 Jorge-Rivera JC, Sen K, Birmingham JT, Abbott LF, Marder E. Temporal dynamics of convergent modulation at a crustacean neuromuscular junction. Journal of Neurophysiology. 80: 2559-70. PMID 9819263 DOI: 10.1152/Jn.1998.80.5.2559  0.683
1998 Chance FS, Nelson SB, Abbott LF. Synaptic depression and the temporal response characteristics of V1 cells. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 4785-99. PMID 9614252 DOI: 10.1523/Jneurosci.18-12-04785.1998  0.675
1998 Liu Z, Golowasch J, Marder E, Abbott LF. A model neuron with activity-dependent conductances regulated by multiple calcium sensors. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 2309-20. PMID 9502792 DOI: 10.1523/Jneurosci.18-07-02309.1998  0.649
1998 Kopell N, Abbott LF, Soto-Treviño C. On the behavior of a neural oscillator electrically coupled to a bistable element Physica D: Nonlinear Phenomena. 121: 367-395. DOI: 10.1016/S0167-2789(98)00031-1  0.341
1997 Baddeley R, Abbott LF, Booth MC, Sengpiel F, Freeman T, Wakeman EA, Rolls ET. Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proceedings. Biological Sciences / the Royal Society. 264: 1775-83. PMID 9447735 DOI: 10.1098/Rspb.1997.0246  0.366
1997 Varela JA, Sen K, Gibson J, Fost J, Abbott LF, Nelson SB. A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 17: 7926-40. PMID 9315911 DOI: 10.1523/Jneurosci.17-20-07926.1997  0.682
1997 Salinas E, Abbott LF. Invariant visual responses from attentional gain fields. Journal of Neurophysiology. 77: 3267-72. PMID 9212273 DOI: 10.1152/Jn.1997.77.6.3267  0.517
1997 Manor Y, Nadim F, Abbott LF, Marder E. Temporal dynamics of graded synaptic transmission in the lobster stomatogastric ganglion. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 17: 5610-21. PMID 9204942 DOI: 10.1523/Jneurosci.17-14-05610.1997  0.691
1997 Gerstner W, Abbott LF. Learning navigational maps through potentiation and modulation of hippocampal place cells. Journal of Computational Neuroscience. 4: 79-94. PMID 9046453 DOI: 10.1023/A:1008820728122  0.658
1997 Abbott LF, Varela JA, Sen K, Nelson SB. Synaptic depression and cortical gain control. Science (New York, N.Y.). 275: 220-4. PMID 8985017 DOI: 10.1126/Science.275.5297.221  0.724
1996 Marder E, Abbott LF, Turrigiano GG, Liu Z, Golowasch J. Memory from the dynamics of intrinsic membrane currents. Proceedings of the National Academy of Sciences of the United States of America. 93: 13481-6. PMID 8942960 DOI: 10.1073/pnas.93.24.13481  0.69
1996 Salinas E, Abbott LF. A model of multiplicative neural responses in parietal cortex. Proceedings of the National Academy of Sciences of the United States of America. 93: 11956-61. PMID 8876244 DOI: 10.1073/pnas.93.21.11956  0.662
1996 Sen K, Jorge-Rivera JC, Marder E, Abbott LF. Decoding synapses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 16: 6307-18. PMID 8815910  0.713
1996 Turrigiano GG, Marder E, Abbott LF. Cellular short-term memory from a slow potassium conductance. Journal of Neurophysiology. 75: 963-6. PMID 8714669 DOI: 10.1152/Jn.1996.75.2.963  0.672
1996 Abbott LF, Rolls ET, Tovee MJ. Representational capacity of face coding in monkeys. Cerebral Cortex (New York, N.Y. : 1991). 6: 498-505. PMID 8670675 DOI: 10.1093/cercor/6.3.498  0.378
1996 Abbott LF, Blum KI. Functional significance of long-term potentiation for sequence learning and prediction. Cerebral Cortex (New York, N.Y. : 1991). 6: 406-16. PMID 8670667 DOI: 10.1093/cercor/6.3.406  0.41
1996 Blum KI, Abbott LF. A model of spatial map formation in the hippocampus of the rat. Neural Computation. 8: 85-93. PMID 8564805 DOI: 10.1162/Neco.1996.8.1.85  0.315
1995 Marder E, Abbott LF. Theory in motion. Current Opinion in Neurobiology. 5: 832-40. PMID 8805418 DOI: 10.1016/0959-4388(95)80113-8  0.605
1995 Salinas E, Abbott LF. Transfer of coded information from sensory to motor networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 15: 6461-74. PMID 7472409 DOI: 10.1523/Jneurosci.15-10-06461.1995  0.581
1995 Idiart M, Berk B, Abbott LF. Reduced representation by neural networks with restricted receptive fields Neural Computation. 7: 507-517. DOI: 10.1162/Neco.1995.7.3.507  0.397
1994 Van Vreeswijk C, Abbott LF, Ermentrout GB. When inhibition not excitation synchronizes neural firing. Journal of Computational Neuroscience. 1: 313-21. PMID 8792237 DOI: 10.1007/BF00961879  0.738
1994 Salinas E, Abbott LF. Vector reconstruction from firing rates. Journal of Computational Neuroscience. 1: 89-107. PMID 8792227 DOI: 10.1007/BF00962720  0.529
1994 Turrigiano G, Abbott LF, Marder E. Activity-dependent changes in the intrinsic properties of cultured neurons. Science (New York, N.Y.). 264: 974-7. PMID 8178157 DOI: 10.1126/Science.8178157  0.697
1994 Abbott LF. Decoding neuronal firing and modelling neural networks. Quarterly Reviews of Biophysics. 27: 291-331. PMID 7899551 DOI: 10.1017/S0033583500003024  0.354
1994 Siegel M, Marder E, Abbott LF. Activity-dependent current distributions in model neurons. Proceedings of the National Academy of Sciences of the United States of America. 91: 11308-12. PMID 7526395 DOI: 10.1073/pnas.91.24.11308  0.703
1994 Marom S, Abbott LF. Modeling state-dependent inactivation of membrane currents. Biophysical Journal. 67: 515-20. PMID 7524708 DOI: 10.1016/S0006-3495(94)80518-1  0.308
1994 Sharp AA, O'Neil MB, Abbott LF, Marder E. Reply Trends in Neurosciences. 17: 147-148. DOI: 10.1016/0166-2236(94)90089-2  0.501
1993 Sharp AA, O'Neil MB, Abbott LF, Marder E. Dynamic clamp: computer-generated conductances in real neurons. Journal of Neurophysiology. 69: 992-5. PMID 8463821 DOI: 10.1152/Jn.1993.69.3.992  0.684
1993 LeMasson G, Marder E, Abbott LF. Activity-dependent regulation of conductances in model neurons. Science (New York, N.Y.). 259: 1915-7. PMID 8456317 DOI: 10.1126/Science.8456317  0.672
1993 Sharp AA, O'Neil MB, Abbott LF, Marder E. The dynamic clamp: artificial conductances in biological neurons. Trends in Neurosciences. 16: 389-94. PMID 7504352 DOI: 10.1016/0166-2236(93)90004-6  0.695
1993 Abbott LF, LeMasson G. Analysis of Neuron Models with Dynamically Regulated Conductances Neural Computation. 5: 823-842. DOI: 10.1162/neco.1993.5.6.823  0.432
1993 Vanvreeswijk C, Abbott LF. Self-sustained firing in populations of integrate-and-fire neurons Siam Journal On Applied Mathematics. 53: 253-264. DOI: 10.1137/0153015  0.396
1993 Marder E, Abbott LF, Buchholtz F, Epstein IR, Golowasch J, Hooper SL, Kepler TB. Physiological insights from cellular and network models of the stomatogastric nervous system of lobsters and crabs Integrative and Comparative Biology. 33: 29-39. DOI: 10.1093/Icb/33.1.29  0.653
1993 Idiart MAP, Abbott LF. Propagation of excitation in neural network models Network: Computation in Neural Systems. 4: 285-294. DOI: 10.1088/0954-898X_4_3_003  0.385
1992 Sharp AA, Abbott LF, Marder E. Artificial electrical synapses in oscillatory networks. Journal of Neurophysiology. 67: 1691-4. PMID 1629771 DOI: 10.1152/Jn.1992.67.6.1691  0.653
1992 Kepler TB, Abbott LF, Marder E. Reduction of conductance-based neuron models. Biological Cybernetics. 66: 381-7. PMID 1562643 DOI: 10.1007/BF00197717  0.646
1991 Abbott LF, Farhi E, Gutmann S. The path integral for dendritic trees. Biological Cybernetics. 66: 49-60. PMID 1768712 DOI: 10.1007/Bf00196452  0.304
1991 Abbott LF. Realistic synaptic inputs for model neural networks Network: Computation in Neural Systems. 2: 245-258. DOI: 10.1088/0954-898X_2_3_002  0.484
1990 Kepler TB, Marder E, Abbott LF. The effect of electrical coupling on the frequency of model neuronal oscillators. Science (New York, N.Y.). 248: 83-5. PMID 2321028 DOI: 10.1126/Science.2321028  0.659
1990 Abbott LF. Learning in neural network memories Network: Computation in Neural Systems. 1: 105-122. DOI: 10.1088/0954-898X_1_1_008  0.346
1989 Abbott LF, Kepler TB. Universality in the space of interactions for network models Journal of Physics a: Mathematical and General. 22: 2031-2038. DOI: 10.1088/0305-4470/22/12/008  0.346
1978 Abbott LF, Grisaru MT, Schnitzer HJ. A supercurrent anomaly in supergravity Physics Letters B. 73: 71-74. DOI: 10.1016/0370-2693(78)90174-0  0.502
1977 Abbott LF, Grisaru MT, Schnitzer HJ. Possible supersymmetry breaking by pseudoparticles Physical Review D. 16: 3002-3007. DOI: 10.1103/Physrevd.16.3002  0.497
1977 Abbott LF, Grisaru MT, Schnitzer HJ. Supercurrent anomaly in a supersymmetric gauge theory Physical Review D. 16: 2995-3001. DOI: 10.1103/Physrevd.16.2995  0.49
1977 Abbott LF, Grisaru MT, Schnitzer HJ. Cancellation of the supercurrent anomaly in a supersymmetric gauge theory Physics Letters B. 71: 161-164. DOI: 10.1016/0370-2693(77)90767-5  0.505
1976 Abbott LF, Schnitzer HJ. Semiclassical bound-state methods in four-dimensional field theory: Trace identities, mode sums, and renormalization for scalar theories Physical Review D. 14: 1977-1987. DOI: 10.1103/Physrevd.14.1977  0.522
1976 Abbott LF, Kang JS, Schnitzer HJ. Bound states, tachyons, and restoration of symmetry in the 1N expansion Physical Review D. 13: 2212-2226. DOI: 10.1103/Physrevd.13.2212  0.51
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