cached image

Dean Buonomano - Publications

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
Website:
http://www.neurobio.ucla.edu/~dbuono/

62 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
2024 Liu B, Buonomano DV. Ex Vivo Cortical Circuits Learn to Predict and Spontaneously Replay Temporal Patterns. Biorxiv : the Preprint Server For Biology. PMID 38853859 DOI: 10.1101/2024.05.30.596702  0.333
2024 Zhou S, Buonomano DV. Unified control of temporal and spatial scales of sensorimotor behavior through neuromodulation of short-term synaptic plasticity. Science Advances. 10: eadk7257. PMID 38701208 DOI: 10.1126/sciadv.adk7257  0.332
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  0.325
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  0.737
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  0.345
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  0.442
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  0.389
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  0.339
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  0.343
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  0.364
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  0.586
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  0.345
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  0.361
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  0.382
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  0.584
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  0.743
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  0.534
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  0.392
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  0.652
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  0.755
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  0.525
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  0.745
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  0.749
2010 Buonomano DV, Carvalho TP. Spike-Timing-Dependent Plasticity (STDP) Encyclopedia of Neuroscience. 265-268. DOI: 10.1016/B978-008045046-9.00822-6  0.516
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  0.435
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  0.747
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  0.357
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  0.658
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  0.602
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  0.707
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  0.72
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  0.349
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  0.386
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  0.782
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  0.307
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  0.366
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  0.712
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  0.771
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  0.734
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  0.408
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  0.349
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  0.523
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  0.594
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  0.765
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  0.574
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  0.585
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  0.351
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  0.567
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  0.715
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  0.566
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  0.665
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  0.516
Show low-probability matches.