Dean Buonomano

Summary

Affiliation: University of California
Country: USA

Publications

  1. pmc Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments
    Anubhuti Goel
    Departments of Neurobiology and Psychology, and Integrative Center for Learning and Memory, University of California, 695 Young Drive, Gonda, Los Angeles, CA 90095, USA
    Philos Trans R Soc Lond B Biol Sci 369:20120460. 2014
  2. pmc Neural dynamics of in vitro cortical networks reflects experienced temporal patterns
    Hope A Johnson
    Champalimaud Neuroscience Programme, Instituto Gulbenkian de Ciencia, Oeiras, Portugal
    Nat Neurosci 13:917-9. 2010
  3. pmc A novel learning rule for long-term plasticity of short-term synaptic plasticity enhances temporal processing
    Tiago P Carvalho
    Gulbenkian Ph D Program in Biomedicine Oeiras, Portugal
    Front Integr Neurosci 5:20. 2011
  4. pmc Learning of temporal motor patterns: an analysis of continuous versus reset timing
    Rodrigo Laje
    Department of Neurobiology, University of California Los Angeles, CA, USA
    Front Integr Neurosci 5:61. 2011
  5. pmc Robust timing and motor patterns by taming chaos in recurrent neural networks
    Rodrigo Laje
    Department of Neurobiology, University of California, Los Angeles, California, USA
    Nat Neurosci 16:925-33. 2013
  6. pmc Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity
    Anubhuti Goel
    Dept of Neurobiology and Psychology, Integrative Center for Learning and Memory, Univ of California, Los Angeles, Los Angeles, CA 90095, USA
    J Neurophysiol 109:1824-36. 2013
  7. pmc Population clocks: motor timing with neural dynamics
    Dean V Buonomano
    Department of Neurobiology, University of California, Los Angeles, Box 951761, Los Angeles, CA 90095, USA
    Trends Cogn Sci 14:520-7. 2010
  8. ncbi request reprint Harnessing chaos in recurrent neural networks
    Dean V Buonomano
    Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA
    Neuron 63:423-5. 2009
  9. pmc Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model
    Dean V Buonomano
    Brain Research Institute, Department of Neurobiology, University of California Los Angeles, Los Angeles, CA 90095, USA
    Philos Trans R Soc Lond B Biol Sci 364:1865-73. 2009
  10. doi request reprint State-dependent computations: spatiotemporal processing in cortical networks
    Dean V Buonomano
    Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, California 90095, USA
    Nat Rev Neurosci 10:113-25. 2009

Research Grants

Collaborators

Detail Information

Publications29

  1. pmc Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments
    Anubhuti Goel
    Departments of Neurobiology and Psychology, and Integrative Center for Learning and Memory, University of California, 695 Young Drive, Gonda, Los Angeles, CA 90095, USA
    Philos Trans R Soc Lond B Biol Sci 369:20120460. 2014
    ..Together, we argue that current experimental and theoretical studies provide sufficient evidence to conclude that at least some forms of temporal processing reflect intrinsic computations based on local neural network dynamics. ..
  2. pmc Neural dynamics of in vitro cortical networks reflects experienced temporal patterns
    Hope A Johnson
    Champalimaud Neuroscience Programme, Instituto Gulbenkian de Ciencia, Oeiras, Portugal
    Nat Neurosci 13:917-9. 2010
    ..We observed changes in the temporal structure of activity that reflected the intervals used during training, suggesting that cortical circuits are inherently capable of temporal processing on short timescales...
  3. pmc A novel learning rule for long-term plasticity of short-term synaptic plasticity enhances temporal processing
    Tiago P Carvalho
    Gulbenkian Ph D Program in Biomedicine Oeiras, Portugal
    Front Integr Neurosci 5:20. 2011
    ..Additionally we generate a set of experimental predictions aimed at testing our hypothesis...
  4. pmc Learning of temporal motor patterns: an analysis of continuous versus reset timing
    Rodrigo Laje
    Department of Neurobiology, University of California Los Angeles, CA, USA
    Front Integr Neurosci 5:61. 2011
    ..Specifically, we show that continuous timing, as opposed to "reset" timing, is consistent with "population clock" models in which timing emerges from the internal dynamics of recurrent neural networks...
  5. pmc Robust timing and motor patterns by taming chaos in recurrent neural networks
    Rodrigo Laje
    Department of Neurobiology, University of California, Los Angeles, California, USA
    Nat Neurosci 16:925-33. 2013
    ..These stable patterns function as 'dynamic attractors' and provide a feature that is characteristic of biological systems: the ability to 'return' to the pattern being generated in the face of perturbations. ..
  6. pmc Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity
    Anubhuti Goel
    Dept of Neurobiology and Psychology, Integrative Center for Learning and Memory, Univ of California, Los Angeles, Los Angeles, CA 90095, USA
    J Neurophysiol 109:1824-36. 2013
    ..However, in the presence of external input we propose that homeostatic learning rules seem to shift networks from spontaneous to evoked regimes...
  7. pmc Population clocks: motor timing with neural dynamics
    Dean V Buonomano
    Department of Neurobiology, University of California, Los Angeles, Box 951761, Los Angeles, CA 90095, USA
    Trends Cogn Sci 14:520-7. 2010
    ..We argue that population clocks emerge from the internal dynamics of recurrently connected networks, are biologically realistic and account for many aspects of motor timing...
  8. ncbi request reprint Harnessing chaos in recurrent neural networks
    Dean V Buonomano
    Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA
    Neuron 63:423-5. 2009
    ..In this issue of Neuron, Sussillo and Abbott describe a new learning rule that helps harness the computational power of recurrent neural networks...
  9. pmc Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model
    Dean V Buonomano
    Brain Research Institute, Department of Neurobiology, University of California Los Angeles, Los Angeles, CA 90095, USA
    Philos Trans R Soc Lond B Biol Sci 364:1865-73. 2009
    ..This interference is, however, decreased if the stimuli are presented to different sensory channels...
  10. doi request reprint State-dependent computations: spatiotemporal processing in cortical networks
    Dean V Buonomano
    Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, California 90095, USA
    Nat Rev Neurosci 10:113-25. 2009
    ....
  11. ncbi request reprint The biology of time across different scales
    Dean V Buonomano
    Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, Box 951761, Los Angeles, California 90095, USA
    Nat Chem Biol 3:594-7. 2007
  12. ncbi request reprint A neural network model of temporal code generation and position-invariant pattern recognition
    D V Buonomano
    Keck Center for Integrative Neuroscience, University of California at San Francisco, San Francisco CA 94143, USA
    Neural Comput 11:103-16. 1999
    ..This work demonstrates a manner by which the nervous system may generate temporal codes and shows that temporal encoding can be used to create position-invariant codes...
  13. pmc Timing of neural responses in cortical organotypic slices
    Dean V Buonomano
    Department of Neurobiology and Brain Research Institute, University of California, Los Angeles, CA 90095, USA
    Proc Natl Acad Sci U S A 100:4897-902. 2003
    ..These results show that cortical networks may be intrinsically able to process temporal information...
  14. ncbi request reprint Decoding temporal information: A model based on short-term synaptic plasticity
    D V Buonomano
    Department of Neurobiology and Psychology, and Brain Research Institute, University of California Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 20:1129-41. 2000
    ....
  15. ncbi request reprint A learning rule for the emergence of stable dynamics and timing in recurrent networks
    Dean V Buonomano
    Department of Neurobiology and Psychology, University of California, Los Angeles, 90095, USA
    J Neurophysiol 94:2275-83. 2005
    ..These results establish a learning rule by which cortical networks can potentially process temporal information in a self-organizing manner, in the absence of specialized timing mechanisms...
  16. ncbi request reprint How do we tell time?
    Dean V Buonomano
    Department of Neurobiology, Brain Research Institute, University of California, Los Angeles 90095, USA
    Neuroscientist 8:42-51. 2002
    ..Population models are generally better suited for parallel processing of interval, duration, order, and sequence cues and are thus more likely to underlie timing in the range of tens to hundreds of milliseconds...
  17. ncbi request reprint Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner
    Jian K Liu
    Department of Mathematics and Neurobiology, University of California, Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 29:13172-81. 2009
    ..Together, these results establish one of the first learning rules that can embed multiple trajectories, each of which recruits all neurons, within recurrent neural networks in a self-organizing manner...
  18. ncbi request reprint Mechanisms and significance of spike-timing dependent plasticity
    Uma R Karmarkar
    Department of Neurobiology, University of California Los Angeles, Box 951763, Los Angeles, CA 90095, USA
    Biol Cybern 87:373-82. 2002
    ..We suggest that more robust forms of STDP, which do not exhibit LTD at pre-before-post intervals, are not accounted for by the standard model, and are likely to rely on a second coincidence detector in addition to the NMDA receptor...
  19. ncbi request reprint Different forms of homeostatic plasticity are engaged with distinct temporal profiles
    Uma R Karmarkar
    Department of Neurobiology, and the Brain Research Institute, University of California, Los Angeles, CA 90095, USA
    Eur J Neurosci 23:1575-84. 2006
    ....
  20. ncbi request reprint Timing and balance of inhibition enhance the effect of long-term potentiation on cell firing
    Carrie P Marder
    Department of Neurobiology and Brain Research Institute, University of California, Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 24:8873-84. 2004
    ....
  21. ncbi request reprint A technique for repeated recordings in cortical organotypic slices
    Hong Wei Dong
    Department of Neurobiology, and Brain Research Institute, University of California, Box 951761, Los Angeles, CA 90095, USA
    J Neurosci Methods 146:69-75. 2005
    ..Additionally, it provides the opportunity to perform long-term morphological and pharmacological studies...
  22. ncbi request reprint Development and plasticity of spontaneous activity and Up states in cortical organotypic slices
    Hope A Johnson
    Department of Neurobiology, University of California, Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 27:5915-25. 2007
    ..Together, these results suggest that Up states reflect a fundamental mode of network dynamics that emerges through the orchestrated regulation of multiple cellular and synaptic properties in parallel...
  23. ncbi request reprint Differential effects of short- and long-term potentiation on cell firing in the CA1 region of the hippocampus
    Carrie P Marder
    Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 23:112-21. 2003
    ....
  24. pmc Timing in the absence of clocks: encoding time in neural network states
    Uma R Karmarkar
    University of California, Helen Wills Neuroscience Institute, 230 Barker Hall 3190, Berkeley, CA 94720, USA
    Neuron 53:427-38. 2007
    ..Our results provide theoretical and experimental evidence that, for short intervals, there is no linear metric of time, and that time may be encoded in the high-dimensional state of local neural networks...
  25. ncbi request reprint A model of spike-timing dependent plasticity: one or two coincidence detectors?
    Uma R Karmarkar
    Departments of Neurobiology and Psychology, University of California, Los Angeles, California 90095 1761, USA
    J Neurophysiol 88:507-13. 2002
    ..Our findings suggest that a single coincidence detector model based on the standard model of plasticity cannot account for order-specific STDP, and we predict that STDP requires two coincidence detectors...
  26. doi request reprint A method for chronic stimulation of cortical organotypic cultures using implanted electrodes
    Hope A Johnson
    Departments of Neurobiology and Psychology, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA 90095, United States
    J Neurosci Methods 176:136-43. 2009
    ..This technique establishes a reduced model for studying experience-dependent plasticity...
  27. pmc Temporal specificity of perceptual learning in an auditory discrimination task
    Uma R Karmarkar
    Departments of Neurobiology and Psychology, and the Brain Research Institute, University of California, Los Angeles, Los Angeles, California 90095 USA
    Learn Mem 10:141-7. 2003
    ..The patterns of generalization additionally indicate that temporal learning does not rely on changes in early, subcortical processing, because the nontemporal features are encoded by different channels at early stages...
  28. ncbi request reprint The neural basis of temporal processing
    Michael D Mauk
    Department of Neurobiology and Anatomy, University of Texas, Houston Medical School, Houston, Texas 77030, USA
    Annu Rev Neurosci 27:307-40. 2004
    ..Rather temporal processing may rely on state-dependent changes in network dynamics...
  29. pmc Distortions of subjective time perception within and across senses
    Virginie van Wassenhove
    Division of Biology, California Institute of Technology, Pasadena, California, United States of America
    PLoS ONE 3:e1437. 2008
    ..Yet, the critical features generating these perceptual shifts in subjective duration are not understood...

Research Grants10

  1. Experience-dependent plasticity and dynamics in vitro
    Dean V Buonomano; Fiscal Year: 2010
    ..Furthermore the development of an in vitro model of cortical function will prove valuable to the development of experimental models for diseases affecting cortical function, such as neurofibromatosis and Alzheimer's disease. ..
  2. Experience-dependent plasticity and dynamics in vitro
    Dean Buonomano; Fiscal Year: 2009
    ..Furthermore the development of an in vitro model of cortical function will prove valuable to the development of experimental models for diseases affecting cortical function, such as neurofibromatosis and Alzheimer's disease. ..
  3. Experience-dependent plasticity and dynamics in vitro
    Dean Buonomano; Fiscal Year: 2007
    ..Furthermore the development of an in vitro model of cortical function will prove valuable to the development of experimental models for diseases affecting cortical function, such as neurofibromatosis and Alzheimer's disease. ..
  4. Plasticity and the Decoding of Temporal Information
    Dean Buonomano; Fiscal Year: 2004
    ....
  5. Plasticity and the Decoding of Temporal Information
    Dean Buonomano; Fiscal Year: 2003
    ....
  6. Plasticity and the Decoding of Temporal Information
    Dean Buonomano; Fiscal Year: 2002
    ....
  7. Plasticity and the Decoding of Temporal Information
    Dean Buonomano; Fiscal Year: 2005
    ....
  8. Plasticity and the Decoding of Temporal Information
    Dean Buonomano; Fiscal Year: 2001
    ....