| Year |
Citation |
Score |
| 2023 |
Kourdougli N, Suresh A, Liu B, Juarez P, Lin A, Chung DT, Graven Sams A, Gandal MJ, Martínez-Cerdeño V, Buonomano DV, Hall BJ, Mombereau C, Portera-Cailliau C. Improvement of sensory deficits in fragile X mice by increasing cortical interneuron activity after the critical period. Neuron. PMID 37451263 DOI: 10.1016/j.neuron.2023.06.009 |
0.602 |
|
| 2022 |
Liu B, Seay MJ, Buonomano DV. Creation of neuronal ensembles and cell-specific homeostatic plasticity through chronic sparse optogenetic stimulation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 36400529 DOI: 10.1523/JNEUROSCI.1104-22.2022 |
0.326 |
|
| 2022 |
Soldado-Magraner S, Seay MJ, Laje R, Buonomano DV. Paradoxical self-sustained dynamics emerge from orchestrated excitatory and inhibitory homeostatic plasticity rules. Proceedings of the National Academy of Sciences of the United States of America. 119: e2200621119. PMID 36251988 DOI: 10.1073/pnas.2200621119 |
0.741 |
|
| 2022 |
Zhou S, Masmanidis SC, Buonomano DV. Encoding time in neural dynamic regimes with distinct computational tradeoffs. Plos Computational Biology. 18: e1009271. PMID 35239644 DOI: 10.1371/journal.pcbi.1009271 |
0.342 |
|
| 2020 |
Seay MJ, Natan RG, Geffen MN, Buonomano DV. Differential short-term plasticity of PV and SST neurons accounts for adaptation and facilitation of cortical neurons to auditory tones. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 33097639 DOI: 10.1523/JNEUROSCI.0686-20.2020 |
0.373 |
|
| 2020 |
Motanis H, Buonomano D. Decreased reproducibility and abnormal experience-dependent plasticity of network dynamics in Fragile X circuits. Scientific Reports. 10: 14535. PMID 32884028 DOI: 10.1038/s41598-020-71333-y |
0.443 |
|
| 2018 |
Motanis H, Seay MJ, Buonomano DV. Short-Term Synaptic Plasticity as a Mechanism for Sensory Timing. Trends in Neurosciences. 41: 701-711. PMID 30274605 DOI: 10.1016/j.tins.2018.08.001 |
0.385 |
|
| 2018 |
Paton JJ, Buonomano DV. The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions. Neuron. 98: 687-705. PMID 29772201 DOI: 10.1016/j.neuron.2018.03.045 |
0.336 |
|
| 2018 |
Goudar V, Buonomano DV. Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks. Elife. 7. PMID 29537963 DOI: 10.7554/eLife.31134 |
0.339 |
|
| 2017 |
Hardy NF, Buonomano DV. Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model. Neural Computation. 1-19. PMID 29162002 DOI: 10.1162/Neco_A_01041 |
0.36 |
|
| 2017 |
Bakhurin KI, Goudar V, Shobe JL, Claar LD, Buonomano DV, Masmanidis SC. Differential Encoding of Time by Prefrontal and Striatal Network Dynamics. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 37: 854-870. PMID 28123021 DOI: 10.1523/JNEUROSCI.1789-16.2017 |
0.349 |
|
| 2016 |
Goel A, Buonomano DV. Temporal Interval Learning in Cortical Cultures Is Encoded in Intrinsic Network Dynamics. Neuron. PMID 27346530 DOI: 10.1016/j.neuron.2016.05.042 |
0.584 |
|
| 2015 |
Motanis H, Buonomano D. Delayed in vitro development of Up states but normal network plasticity in Fragile X circuits. The European Journal of Neuroscience. 42: 2312-21. PMID 26138886 DOI: 10.1111/ejn.13010 |
0.348 |
|
| 2015 |
Goudar V, Buonomano DV. A model of order-selectivity based on dynamic changes in the balance of excitation and inhibition produced by short-term synaptic plasticity. Journal of Neurophysiology. 113: 509-23. PMID 25339707 DOI: 10.1152/jn.00568.2014 |
0.358 |
|
| 2014 |
Buonomano DV. Neural dynamics based timing in the subsecond to seconds range. Advances in Experimental Medicine and Biology. 829: 101-17. PMID 25358707 DOI: 10.1007/978-1-4939-1782-2_6 |
0.379 |
|
| 2014 |
Goel A, Buonomano DV. Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 369: 20120460. PMID 24446494 DOI: 10.1098/rstb.2012.0460 |
0.582 |
|
| 2013 |
Laje R, Buonomano DV. Robust timing and motor patterns by taming chaos in recurrent neural networks. Nature Neuroscience. 16: 925-33. PMID 23708144 DOI: 10.1038/nn.3405 |
0.746 |
|
| 2013 |
Goel A, Buonomano DV. Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity. Journal of Neurophysiology. 109: 1824-36. PMID 23324317 DOI: 10.1152/jn.00612.2012 |
0.533 |
|
| 2012 |
Lee TP, Buonomano DV. Unsupervised formation of vocalization-sensitive neurons: a cortical model based on short-term and homeostatic plasticity. Neural Computation. 24: 2579-603. PMID 22845822 DOI: 10.1162/NECO_a_00345 |
0.389 |
|
| 2012 |
Chen WX, Buonomano DV. Developmental shift of short-term synaptic plasticity in cortical organotypic slices. Neuroscience. 213: 38-46. PMID 22521823 DOI: 10.1016/J.Neuroscience.2012.04.018 |
0.662 |
|
| 2011 |
Laje R, Cheng K, Buonomano DV. Learning of temporal motor patterns: an analysis of continuous versus reset timing. Frontiers in Integrative Neuroscience. 5: 61. PMID 22016724 DOI: 10.3389/fnint.2011.00061 |
0.757 |
|
| 2011 |
Carvalho TP, Buonomano DV. A novel learning rule for long-term plasticity of short-term synaptic plasticity enhances temporal processing. Frontiers in Integrative Neuroscience. 5: 20. PMID 21660100 DOI: 10.3389/fnint.2011.00020 |
0.523 |
|
| 2010 |
Buonomano DV, Laje R. Population clocks: motor timing with neural dynamics. Trends in Cognitive Sciences. 14: 520-7. PMID 20889368 DOI: 10.1016/j.tics.2010.09.002 |
0.748 |
|
| 2010 |
Johnson HA, Goel A, Buonomano DV. Neural dynamics of in vitro cortical networks reflects experienced temporal patterns. Nature Neuroscience. 13: 917-9. PMID 20543842 DOI: 10.1038/Nn.2579 |
0.751 |
|
| 2010 |
Buonomano DV, Carvalho TP. Spike-Timing-Dependent Plasticity (STDP) Encyclopedia of Neuroscience. 265-268. DOI: 10.1016/B978-008045046-9.00822-6 |
0.514 |
|
| 2009 |
Liu JK, Buonomano DV. Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 13172-81. PMID 19846705 DOI: 10.1523/Jneurosci.2358-09.2009 |
0.434 |
|
| 2009 |
Buonomano DV, Bramen J, Khodadadifar M. Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 364: 1865-73. PMID 19487189 DOI: 10.1098/rstb.2009.0019 |
0.751 |
|
| 2009 |
Carvalho TP, Buonomano DV. Differential effects of excitatory and inhibitory plasticity on synaptically driven neuronal input-output functions. Neuron. 61: 774-85. PMID 19285473 DOI: 10.1016/j.neuron.2009.01.013 |
0.531 |
|
| 2009 |
Buonomano DV, Maass W. State-dependent computations: spatiotemporal processing in cortical networks. Nature Reviews. Neuroscience. 10: 113-25. PMID 19145235 DOI: 10.1038/nrn2558 |
0.353 |
|
| 2009 |
Johnson HA, Buonomano DV. A method for chronic stimulation of cortical organotypic cultures using implanted electrodes. Journal of Neuroscience Methods. 176: 136-43. PMID 18835297 DOI: 10.1016/j.jneumeth.2008.08.037 |
0.66 |
|
| 2008 |
van Wassenhove V, Buonomano DV, Shimojo S, Shams L. Distortions of subjective time perception within and across senses. Plos One. 3: e1437. PMID 18197248 DOI: 10.1371/journal.pone.0001437 |
0.604 |
|
| 2007 |
Johnson HA, Buonomano DV. Development and plasticity of spontaneous activity and Up states in cortical organotypic slices. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 5915-25. PMID 17537962 DOI: 10.1523/JNEUROSCI.0447-07.2007 |
0.709 |
|
| 2007 |
Karmarkar UR, Buonomano DV. Timing in the absence of clocks: encoding time in neural network states. Neuron. 53: 427-38. PMID 17270738 DOI: 10.1016/j.neuron.2007.01.006 |
0.719 |
|
| 2006 |
Karmarkar UR, Buonomano DV. Different forms of homeostatic plasticity are engaged with distinct temporal profiles. The European Journal of Neuroscience. 23: 1575-84. PMID 16553621 DOI: 10.1111/j.1460-9568.2006.04692.x |
0.719 |
|
| 2005 |
Eagleman DM, Tse PU, Buonomano D, Janssen P, Nobre AC, Holcombe AO. Time and the brain: how subjective time relates to neural time. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 10369-71. PMID 16280574 DOI: 10.1523/JNEUROSCI.3487-05.2005 |
0.346 |
|
| 2005 |
Buonomano DV. A learning rule for the emergence of stable dynamics and timing in recurrent networks. Journal of Neurophysiology. 94: 2275-83. PMID 16160088 DOI: 10.1152/jn.01250.2004 |
0.383 |
|
| 2004 |
Marder CP, Buonomano DV. Timing and balance of inhibition enhance the effect of long-term potentiation on cell firing. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 24: 8873-84. PMID 15470154 DOI: 10.1523/JNEUROSCI.2661-04.2004 |
0.783 |
|
| 2004 |
Mauk MD, Buonomano DV. The neural basis of temporal processing. Annual Review of Neuroscience. 27: 307-40. PMID 15217335 DOI: 10.1146/annurev.neuro.27.070203.144247 |
0.303 |
|
| 2003 |
Buonomano DV. Timing of neural responses in cortical organotypic slices. Proceedings of the National Academy of Sciences of the United States of America. 100: 4897-902. PMID 12668762 DOI: 10.1073/pnas.0736909100 |
0.363 |
|
| 2003 |
Karmarkar UR, Buonomano DV. Temporal specificity of perceptual learning in an auditory discrimination task. Learning & Memory (Cold Spring Harbor, N.Y.). 10: 141-7. PMID 12663752 DOI: 10.1101/lm.55503 |
0.713 |
|
| 2003 |
Marder CP, Buonomano DV. Differential effects of short- and long-term potentiation on cell firing in the CA1 region of the hippocampus. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 112-21. PMID 12514207 DOI: 10.1523/Jneurosci.23-01-00112.2003 |
0.772 |
|
| 2002 |
Karmarkar UR, Najarian MT, Buonomano DV. Mechanisms and significance of spike-timing dependent plasticity. Biological Cybernetics. 87: 373-82. PMID 12461627 DOI: 10.1007/s00422-002-0351-0 |
0.733 |
|
| 2002 |
Karmarkar UR, Buonomano DV. A model of spike-timing dependent plasticity: one or two coincidence detectors? Journal of Neurophysiology. 88: 507-13. PMID 12091572 DOI: 10.1152/Jn.2002.88.1.507 |
0.702 |
|
| 2002 |
Buonomano DV, Karmarkar UR. How do we tell time? The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry. 8: 42-51. PMID 11843098 DOI: 10.1177/107385840200800109 |
0.717 |
|
| 2000 |
Buonomano DV. Decoding temporal information: A model based on short-term synaptic plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 20: 1129-41. PMID 10648718 |
0.404 |
|
| 1999 |
Buonomano DV. Distinct functional types of associative long-term potentiation in neocortical and hippocampal pyramidal neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 19: 6748-54. PMID 10436032 |
0.344 |
|
| 1999 |
Buonomano DV, Merzenich M. A neural network model of temporal code generation and position-invariant pattern recognition. Neural Computation. 11: 103-16. PMID 9950725 DOI: 10.1162/089976699300016836 |
0.521 |
|
| 1998 |
Buonomano DV, Merzenich MM. Net interaction between different forms of short-term synaptic plasticity and slow-IPSPs in the hippocampus and auditory cortex. Journal of Neurophysiology. 80: 1765-74. PMID 9772237 DOI: 10.1152/Jn.1998.80.4.1765 |
0.592 |
|
| 1998 |
Buonomano DV, Merzenich MM. Cortical plasticity: from synapses to maps. Annual Review of Neuroscience. 21: 149-86. PMID 9530495 DOI: 10.1146/annurev.neuro.21.1.149 |
0.544 |
|
| 1997 |
Buonomano DV, Hickmott PW, Merzenich MM. Context-sensitive synaptic plasticity and temporal-to-spatial transformations in hippocampal slices. Proceedings of the National Academy of Sciences of the United States of America. 94: 10403-8. PMID 9294223 DOI: 10.1073/pnas.94.19.10403 |
0.721 |
|
| 1997 |
Wright BA, Buonomano DV, Mahncke HW, Merzenich MM. Learning and generalization of auditory temporal-interval discrimination in humans. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 17: 3956-63. PMID 9133413 DOI: 10.1523/Jneurosci.17-10-03956.1997 |
0.764 |
|
| 1996 |
Buonomano DV, Merzenich MM. Associative synaptic plasticity in hippocampal CA1 neurons is not sensitive to unpaired presynaptic activity. Journal of Neurophysiology. 76: 631-6. PMID 8836251 |
0.571 |
|
| 1995 |
Buonomano DV, Merzenich MM. Temporal information transformed into a spatial code by a neural network with realistic properties. Science (New York, N.Y.). 267: 1028-30. PMID 7863330 DOI: 10.1126/Science.7863330 |
0.583 |
|
| 1994 |
Buonomano DV, Mauk MD. Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses Neural Computation. 6: 38-55. DOI: 10.1162/neco.1994.6.1.38 |
0.347 |
|
| 1994 |
Raymond JL, Baxter DA, Buonomano DV, Byrne JH. Response to letter by Gaudiano et al Neural Networks. 7: 406-407. DOI: 10.1016/0893-6080(94)90034-5 |
0.57 |
|
| 1992 |
Buonomano DV, Cleary LJ, Byrne JH. Inhibitory neuron produces heterosynaptic inhibition of the sensory-to-motor neuron synapse in Aplysia. Brain Research. 577: 147-50. PMID 1521140 DOI: 10.1016/0006-8993(92)90548-N |
0.677 |
|
| 1992 |
Raymond JL, Baxter DA, Buonomano DV, Byrne JH. A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network Neural Networks. 5: 789-803. DOI: 10.1016/S0893-6080(05)80140-6 |
0.689 |
|
| 1991 |
Byrne JH, Baxter DA, Buonomano DV, Cleary LJ, Eskin A, Goldsmith JR, McClendon E, Nazif FA, Noel F, Scholz KP. Neural and molecular bases of nonassociative and associative learning in Aplysia. Annals of the New York Academy of Sciences. 627: 124-49. PMID 1679307 DOI: 10.1111/J.1749-6632.1991.Tb25918.X |
0.716 |
|
| 1990 |
Buonomano DV, Byrne JH. Long-term synaptic changes produced by a cellular analog of classical conditioning in Aplysia. Science (New York, N.Y.). 249: 420-3. PMID 2165631 DOI: 10.1126/Science.2165631 |
0.564 |
|
| 1990 |
Byrne JH, Baxter DA, Buonomano DV, Raymond JL. Neuronal and network determinants of simple and higher-order features of associative learning: experimental and modeling approaches. Cold Spring Harbor Symposia On Quantitative Biology. 55: 175-86. PMID 1983443 DOI: 10.1101/Sqb.1990.055.01.020 |
0.666 |
|
| 1990 |
Buonomano DV, Baxter DA, Byrne JH. Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning Neural Networks. 3: 507-523. DOI: 10.1016/0893-6080(90)90002-3 |
0.514 |
|
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