Research Topics
| Dean BuonomanoSummaryAffiliation: University of California Country: USA Publications
Research Grants
| Collaborators
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Detail Information
Publications
Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activityAnubhuti Goel
Dept of Neurobiology and Psychology, Integrative Center for Learning and Memory, Univ of California, Los Angeles, 695 Young Drive Gonda, Los Angeles, CA 90095
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...- Population clocks: motor timing with neural dynamicsDean 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... 
Harnessing chaos in recurrent neural networksDean 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...- Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network modelDean 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... - State-dependent computations: spatiotemporal processing in cortical networksDean V Buonomano
Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, California 90095, USA
Nat Rev Neurosci 10:113-25. 2009.... 
The biology of time across different scalesDean 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- A neural network model of temporal code generation and position-invariant pattern recognitionD 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... - A learning rule for the emergence of stable dynamics and timing in recurrent networksDean 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... - 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... - Timing of neural responses in cortical organotypic slicesDean 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... - Decoding temporal information: A model based on short-term synaptic plasticityD 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.... - Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing mannerJian 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... - Mechanisms and significance of spike-timing dependent plasticityUma 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... - Different forms of homeostatic plasticity are engaged with distinct temporal profilesUma 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.... - A technique for repeated recordings in cortical organotypic slicesHong-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... - Timing and balance of inhibition enhance the effect of long-term potentiation on cell firingCarrie 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.... - Development and plasticity of spontaneous activity and Up states in cortical organotypic slicesHope 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... - Timing in the absence of clocks: encoding time in neural network statesUma 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... - 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... - Differential effects of short- and long-term potentiation on cell firing in the CA1 region of the hippocampusCarrie P Marder
Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, Los Angeles, California 90095, USA
J Neurosci 23:112-21. 2003.... - A method for chronic stimulation of cortical organotypic cultures using implanted electrodesHope 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... - Temporal specificity of perceptual learning in an auditory discrimination taskUma 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... - The neural basis of temporal processingMichael 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... - Distortions of subjective time perception within and across sensesVirginie 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 Grants
- Experience-dependent plasticity and dynamics in vitroDean 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. ..
- Experience-dependent plasticity and dynamics in vitroDean 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. ..
- Plasticity and the Decoding of Temporal InformationDean Buonomano; Fiscal Year: 2005....
- Experience-dependent plasticity and dynamics in vitroDean 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. ..