1. Bakhurin KI, Goudar V, Shobe JL, Claar LD, Buonomano DV, Masmanidis SC. Differential Encoding of Time by Prefrontal and Striatal Network Dynamics J Neurosci 37: 854-870, 2017 PDF
  2. Goel A, Buonomano DV Temporal Interval Learning in Cortical Cultures Is Encoded in Intrinsic Network Dynamics Neuron 91: 320-327, 2016 PDF
  3. Hardy NF, Buonomano DV. Neurocomputational models of interval and pattern timing. Current Opinion in Behavioral Sciences 8: 250-257, 2016 PDF
  4. Finnerty GT, Shadlen MN, Jazayeri M, Nobre AC, Buonomano DV. Time in Corcial Circuits. J Neurosci 35: 13912-13916, 2015 PDF
  5. Motanis H, Buonomano D Delayed in vitro Development of Up States but Normal Network Plasticity in Fragile X Circuits. Eur J Neurosci. 42: 2312-21, 2015 PDF
  6. Motanis H, Buonomano DV. Neural coding: time contraction and dilation in the striatum. Curr Biol 25: R374-376, 2015 PDF
  7. Shtrahman M, Aharoni DB, Hardy NF, Buonomano DV, Arisaka K, Otis TS. Multifocal fluorescence microscope for fast optical recordings of neuronal action potentials. Biophys J 108: 520-529, 2015 PDF
  8. 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. J. Neurophysiol. 113: 509-523, 2015 PDF
  9. Bueti D, Buonomano DV. Temporal Perceptual Learning. Timing & Time Perception 2: 261-289, 2014 PDF
  10. Goudar V, Buonomano DV Useful dynamic regimes emerge in recurrent networks. Nat Neurosci 17: 487-489., 2014 PDF
  11. Goel A, Buonomano DV Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments. Philos Trans R Soc Lond B Biol Sci 369: 20120460, 2014 PDF
  12. Laje R, Buonomano DV. Robust timing and motor patterns by taming chaos in recurrent neural networks. Nat. Neurosci. 16: 925-933., 2013 PDF
  13. Goel A, Buonomano DV. Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity. J. Neurophys. 109: 1824-1836., 2013 PDF
  14. Lee TP, Buonomano DV Unsupervised formation of vocalization-sensitive neurons: a cortical model based on short-term and homeostatic plasticity. Neural Comput. 24: 2579-2603., 2012 PDF
  15. Chen WX, Buonomano DV Developmental shift of short-term plasticity in cortical organotypic slices. Neurosci. 213: 38-46, 2012 PDF
  16. Laje R, Cheng K, Buonomano, DV. Learning of temporal motor patterns: an analysis of continuous versus reset timing. Frontiers Integrative Neurosci 5: 61, 2011 PDF
  17. Carvalho, T.P. and Buonomano, D.V. A novel learning rule for long-term plasticity of short-term synaptic plasticity enhances temporal procesing. Frontiers Integrative Neurosci 5: 20, 2011 PDF
  18. Buonomano, D.V. and Laje, R. Population clocks: motor timing with neural dynamics. Trends in Cognitive Science. 14: 520-527, 2010 PDF
  19. Johnson HA, Goel A, Buonomano DV. Neural dynamics of in vitro cortical networks reflects experienced temporal patterns. Nature Neurosci 13: 917-919, 2010 PDF
  20. Liu, J.K., Buonomano, D.V. Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner. J. Neurosci. 29: 13172-13181, 2009 PDF
  21. Buonomano, D.V. Harnessing chaos in recurrent neural networks. Neuron 63: 423-425, 2009 PDF
  22. Buonomano DV, Bramen J, Khodadadifar M. Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model. Phil. Trans. R. Soc. B 364: 1865-1873, 2009 PDF
  23. Carvalho, T.P. and Buonomano, D.V. Differential effects of excitatory and inhibitory plasticity on synaptically driven neuronal input-output function. Neuron 61: 774-785, 2009 PDF
  24. Buonomano D.V. and Maass W. State-dependent Computations: Spatiotemporal Processing in Cortical Networks. Nat. Rev. Neurosci. 10: 113-125, 2009 PDF
  25. Johnson, H.A. and Buonomano, D.V. A method for chronic stimulation of cortical organotypic cultures using implanted electrodes. J. Neurosci. Methods 176: 136-143, 2009 PDF
  26. van Wassenhove V, Buonomano DV, Shimojo S, Shams L. Distortions of Subjective Time Perception Within and Across Senses. PLoS ONE 3: e1437, 2008 PDF
  27. Buonomano, D.V. The biology of time across different scales. Nat. Chem. Bio. 3: 594-597, 2007 PDF
  28. Johnson, H.A. and Buonomano, D.V. Development and plasticity of spontaneous activity and UP states in cortical organotypic slices. J. Neuroscience 27: 5915-5925, 2007 PDF
  29. Karmarkar, U.R. and Buonomano, D.V. Timing in the absence of clocks: Encoding time in neural network states. Neuron 53: 427-438, 2007 PDF
  30. Karmarkar, U.R. and Buonomano, D.V. Bi-directional homeostatic inhibitory plasticity. European. J. Neuroscience 23: 1575-1584, 2006 PDF
  31. Eagleman DM, Tse PU, Janssen P, Nobre AC, Buonomano D, Holcombe AO. Time and the brain: how subjective time relates to neural time. J. Neuroscience 25: 10369–10371,, 2005 PDF
  32. Buonomano, D.V. A Learning Rule for the Emergence of Stable Dynamics and Timing in Recurrent Networks. J. Neurophysiol. 94: 2275-2283, 2005 PDF
  33. Dong, H. and Buonomano, D.V. A technique for repeated recordings from cortical organotypic slices. J. Neurosci. Methods 146: 69-75, 2005 PDF
  34. Marder, C.P. and Buonomano D.V. Timing and Balance of Inhibition Enhance the Effect of LTP on Cell Firing. J. Neurosci. 24: 8873-8884,, 2004 PDF
  35. Mauk M.D. and Buonomano D.V. The Neural Basis of Temporal Processing. Annual Rev. Neuroscience. 27: 304-340, 2004 PDF
  36. Buonomano, D.V. Timing of Neural Responses in Cortical Organotypic Slices. Proc. Natl. Acad. Sci. USA. 100: 4897-4902, 2003 PDF
  37. Karmarkar, U. and Buonomano D.V. Temporal specificity of perceptual learning in an auditory discrimination task. Learning & Memory 10: 141-147, 2003 PDF
  38. Marder, C.P. and Buonomano D.V. Differential effects of short- and long-term potentiation on cell firing in the CA1 region of the hippocampus. J. Neurosci. 23: 112-121, 2003 PDF
  39. Karmarkar, U.R. Najarian, M.T. and Buonomano, D.V. Mechanisms and significance of spike-timing dependent plasticity. Biol. Cybernetics 87: 373-382, 2002 PDF
  40. Buonomano, D.V. and Karmarkar, U.R. How do we tell time? Neuroscientist 8: 42- 51, 2002 PDF
  41. Karmarkar, U.R. and Buonomano, D.V. A Model of Spike-Timing Dependent Plasticity: One or Two Coincidence Detectors? J. Neurophysiol. 88: 507-513, 2002 PDF
  42. Buonomano, D.V. Decoding temporal information: a model based on short-term synaptic plasticity. J. Neurosci. 20: 1129-1141,, 2000 PDF
  43. Buonomano, D.V. Distinct functional types of associative long-term potentiation in neocortical and hippocampal pyramidal neurons. J. Neurosci. 19: 6748-6754, 1999 PDF
  44. Buonomano, D.V. and Merzenich, M.M. A neural network model of temporal code generation of position invariant pattern recognition. Neural Computation 11: 103-116, 1999 PDF
  45. Buonomano, D.V. and Merzenich M.M. Cortical plasticity: from synapses to maps. Annual Rev. Neuroscience 21: 149-186, 1998 PDF
  46. Buonomano, D.V. and Merzenich, M.M. Net interaction between different forms of short-term synaptic plasticity and slow-IPSPs in the hippocampus and auditory cortex. J. Neurophysiol. 80: 1765-1774, 1998 PDF
  47. Buonomano, D.V., Hickmott, P.W., and Merzenich, M.M. Temporal to spatial transformations and context-sensitive plasticity in hippocampal slices. Proc. Natl. Acad. Sci. USA. 94: 10403-10408, 1997 PDF
  48. Wright, B.A., Buonomano, D.V., Mahncke, H.W., Merzenich, M.M. Learning and generalization of auditory temporal-interval discrimination in humans. J. Neurosci. 17: 3956-3963, 1997 PDF
  49. Buonomano, D.V. and Merzenich, M.M. Associative synaptic plasticity in hippocampal CA1 neurons is not sensitive to unpaired presynaptic activity. J. Neurophysiol. 76: 631-636,, 1996 PDF
  50. Buonomano, D.V. and Merzenich, M.M. Temporal information transformed into a spatial code by a neural network with realistic properties. Science 267: 1028-1030, 1995 PDF
  51. Buonomano, D.V. and Mauk, M.D. Neural network model of the cerebellum: temporal discrimination and the timing of motor responses. Neural Computation 6: 38-55, 1994 PDF
  52. Buonomano, D.V., Cleary, L.J. and Byrne, J.H. Inhibitory neuron produces heterosynaptic inhibition of the sensory-to-motor neuron in Aplysia. Brain Res. 577: 147 -150, 1992 PDF
  53. Raymond, J.L., Baxter, D.A., Buonomano, D.V. and Byrne J.H. A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network. Neural Networks 5: 789-803, 1992 PDF
  54. Buonomano, D.V, D.A. Baxter and Byrne, J.H. Simulations of small networks based on empirically derived adaptive elements predict some higher-order features of classical conditioning. Neural Networks 3: 507-527, 1990 PDF
  55. Buonomano, D.V. and Byrne, J.H. Long-term synaptic changes produced by a cellular analog of classical conditioning in Aplysia. Science 249: 421-422, 1990 PDF


  1. Buonomano, D.V. Brain Bugs: How the brain's flaws shape our lives. Norton 2011 WEBSITE


  1. Buonomano, D.V. and Laje, R. Population Clocks: Motor Timing with Neural Dynamics.. In Space, Time and Number in the Brain , 2011
  2. Buonomano, D.V. and Carvalho T.P. Spike Timing Dependent Plasticity. In New Encyclopedia of Neuroscience. , 2008
  3. Buonomano, D.V. and Johnson H.A. Cortical Plasticity: Mechanisms and Models. In New Encyclopedia of Neuroscience. , 2008
  4. Raymond, J.L., Byrne, J.H. and Buonomano, D.V. Conditioning, Cellular and Network Schemes for Higher Order Features of Classical Conditioning.. In Encyclopedia of Learning and Memory. , 2003
  5. Buonomano, D.V. and Merzenich. M.M. Temporal Information processing: A Computational role for Paired-pulse Facilitation and Slow Inhibition.. In Neural-Network Models of Complex Behavior: Biobehavioral Foundations. , 1997
  6. Baxter, D.A., Buonomano, D.V., Raymond, J.L., Cook, D.G., Kuenzi, F.M, Carew, T.J. and Byrne, J.H. Empirically derived adaptive elements and networks simulate associative learning.. In Quantitative Analyses of Behavior: Neural Networks of Conditioning and Action , 1991
  7. Byrne, J.H., Baxter, D.A., Buonomano, D.V., Cleary, L.J., Eskin, A., Goldsmith, J.R., McClendon, E., Nazif, F.A., Noel, F. and Scholz, K.P. Neural and molecular bases of nonassociative and associative learning in Aplysia,. In Ann. N.Y. Acad. Sci. , 1991
  8. Byrne, J.H., Baxter, D.A., Buonomano, D.V. and Raymond, J.L. Neuronal and network determinants of simple and higher-order features of associative learning: Experimental and modeling approaches.. In Cold Spring Harbor Symposium on Quantitative Biology , 1991