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Laura DeNardo, Ph.D.

Laura DeNardo, Ph.D.

Publications

A selected list of publications:

Laura A DeNardo, Cindy D Liu, William E Allen, Eliza L Adams, Drew Friedmann, Ehsan Dadgar-Kiani, Lisa Fu, Casey J Guenthner, Jin Hyung Lee, Marc Tessier-Lavigne, Liqun Luo   Temporal Evolution of Cortical Ensembles Promoting Remote Memory Retrieval , 2018; .
Berns Dominic S, DeNardo Laura A, Pederick Daniel T, Luo Liqun   Teneurin-3 controls topographic circuit assembly in the hippocampus Nature, 2018; 554(7692): 328-333.
Savas Jeffrey N, Wang Yi-Zhi, DeNardo Laura A, Martinez-Bartolome Salvador, McClatchy Daniel B, Hark Timothy J, Shanks Natalie F, Cozzolino Kira A, Lavallée-Adam Mathieu, Smukowski Samuel N, Park Sung Kyu, Kelly Jeffery W, Koo Edward H, Nakagawa Terunaga, Masliah Eliezer, Ghosh Anirvan, Yates John R   Amyloid Accumulation Drives Proteome-wide Alterations in Mouse Models of Alzheimer’s Disease-like Pathology Cell reports, 2017; 21(9): 2614-2627.
Allen William E, DeNardo Laura A, Chen Michael Z, Liu Cindy D, Loh Kyle M, Fenno Lief E, Ramakrishnan Charu, Deisseroth Karl, Luo Liqun   Thirst-associated preoptic neurons encode an aversive motivational drive Science (New York, N.Y.), 2017; 357(6356): 1149-1155.
DeNardo Laura, Luo Liqun   Genetic strategies to access activated neurons Current opinion in neurobiology, 2017; 45(6356): 121-129.
Savas JN, Ribeiro LF, Wierda KD, Wright R, DeNardo-Wilke LA, Chamma I, Wang Yi-Zhi, Zemla R, Lavallee- Adam M, Vennekens KM, O’Sullivan ML, Antonios JK, Hall EA, Thoumine O, Attie AD, Yates JR, Ghosh A, De Wit J   The Sorting Receptor SorCS1 Regulates Trafficking of Neurexin and AMPA receptors, Neuron, 2015; 87: 764-80.
DeNardo Laura A, Berns Dominic S, DeLoach Katherine, Luo Liqun   Connectivity of mouse somatosensory and prefrontal cortex examined with trans-synaptic tracing Nature neuroscience, 2015; 18(11): 1687-1697.
DeNardo Laura A, de Wit Joris, Otto-Hitt Stefanie, Ghosh Anirvan   NGL-2 regulates input-specific synapse development in CA1 pyramidal neurons Neuron, 2012; 76(4): 762-75.
Wilke Scott A, Hall Benjamin J, Antonios Joseph K, Denardo Laura A, Otto Stefanie, Yuan Bo, Chen Fading, Robbins Elissa M, Tiglio Katie, Williams Megan E, Qiu Zilong, Biederer Thomas, Ghosh Anirvan   NeuroD2 regulates the development of hippocampal mossy fiber synapses Neural development, 2012; 7(4): 9.

Dean Buonomano, Ph.D.

Biography

NEURAL DYNAMICS: THE NEURAL BASIS OF LEARNING AND MEMORY AND TEMPORAL PROCESSING Behavior and cognition are not the product of isolated neurons, but rather emerge from the dynamics of interconnected neurons embedded in complex recurrent networks. Significant progress has been made towards understanding cellular and synaptic properties in isolation, as well as in establishing which areas of the brain are active during specific tasks. However, elucidating how the activity of hundreds of thousands of neurons within local cortical circuits underlie computations remains an elusive and fundamental goal in neuroscience. The primary goal of my laboratory is to understand how functional computations emerge from networks of neurons. One computation we are particularly interested in is how the brain tells time. Temporal processing refers to your ability to distinguish the interval and duration of sensory stimuli, and is a fundamental component of speech and music perception. To answer these questions the main approaches in my laboratory involve: (1) In Vitro Electrophysiology: Using acute and chronic brain slices we study the spatio-temporal dynamics of cortical circuits, as well as the learning rules that allow networks to develop, organize and perform computations ??? that is, to learn. (2) Computer Simulations: Computer models are used to simulate how networks perform computations, as well as test and generate predictions in parallel with our experimental research. (3) Human Psychophysics: We also use human pyschophysical experiments to characterize learning and generalization of temporal tasks, such as interval discrimination.

Publications

A selected list of publications:

Goel Anubhuti, Buonomano Dean V   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, 2014; 369(1637): 20120460.
Laje Rodrigo, Buonomano Dean V   Robust timing and motor patterns by taming chaos in recurrent neural networks Nature neuroscience, 2013; 16(7): 925-33.
Buonomano Dean V, Laje Rodrigo   Population clocks: motor timing with neural dynamics Trends in cognitive sciences, 2010; 14(12): 520-7.
Johnson Hope A, Goel Anubhuthi, Buonomano Dean V   Neural dynamics of in vitro cortical networks reflects experienced temporal patterns Nature neuroscience, 2010; 13(8): 917-9.
Liu Jian K, Buonomano Dean V   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, 2009; 29(42): 13172-81.
Buonomano Dean V   Harnessing chaos in recurrent neural networks Neuron, 2009; 63(4): 423-5.
Buonomano Dean V, Bramen Jennifer, Khodadadifar Mahsa   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, 2009; 364(1525): 1865-73.
Buonomano Dean V, Maass Wolfgang   State-dependent computations: spatiotemporal processing in cortical networks Nature reviews. Neuroscience, 2009; 10(2): 113-25.
Johnson Hope A, Buonomano Dean V   A method for chronic stimulation of cortical organotypic cultures using implanted electrodes Journal of neuroscience methods, 2009; 176(2): 136-43.
van Wassenhove V, Buonomano DV, Shimojo S, Shams L.   Distortions of subjective time perception within and across senses, PLoS ONE, 2008; 3(1): e1437.
Johnson, Hope A. Buonomano, Dean V.   Development and Plasticity of Spontaneous Activity and Up States in Cortical Organotypic Slices J. Neurosci, 2007; 27(22): 5915-5925.
Buonomano, D. V.   The biology of time across different scales Nat Chem Biol, 2007; 3(10): 594-7.
Karmarkar, U. R. Buonomano, D. V.   Timing in the absence of clocks: encoding time in neural network states Neuron, 2007; 53(3): 427-38.
Karmarkar, U. R. Buonomano, D. V.   Different forms of homeostatic plasticity are engaged with distinct temporal profiles, Eur J Neurosci, 2006; 23(6): 1575-84.
Eagleman, D. M. Tse, P. U. Buonomano, D. Janssen, P. Nobre, A. C. Holcombe, A. O.   Time and the brain: how subjective time relates to neural time, J Neurosci, 2005; 25(45): 10369-71.
Dong, H. W. Buonomano, D. V.   A technique for repeated recordings in cortical organotypic slices, J Neurosci Methods, 2005; 146(1): 69-75.
Buonomano, D. V.   A learning rule for the emergence of stable dynamics and timing in recurrent networks, J Neurophysiol, 2005; 94(4): 2275-83.
Marder, C. P. Buonomano, D. V.   Timing and balance of inhibition enhance the effect of long-term potentiation on cell firing, J Neurosci, 2004; 24(40): 8873-84.
Mauk, M. D. Buonomano, D. V.   The Neural Basis of Temporal Processing, Annual Rev. Neuroscience, 2004; 27: 304-340.
Karmarkar, U. R. Buonomano, D. V.   Temporal specificity of perceptual learning in an auditory discrimination task, Learn Mem, 2003; 10(2): 141-7.
Buonomano, D. V.   Timing of Neural Responses in Cortical Organotypic Slices, Proc. Natl. Acad. Sci. USA, 2003; 100: 4897-4902.
Marder, C. P. Buonomano, D. V.   Differential effects of short- and long-term potentiation on cell firing in the CA1 region of the hippocampus, J Neurosci, 2003; 23(1): 112-21.
Karmarkar, U. R. Buonomano, D. V.   A model of spike-timing dependent plasticity: one or two coincidence detectors?, J Neurophysiol, 2002; 88(1): 507-13.
Buonomano, D. V. Karmarkar, U. R.   How do we tell time?, Neuroscientist, 2002; 8(1): 42-51.
Karmarkar, U. R. Najarian, M. T. Buonomano, D. V.   Mechanisms and significance of spike-timing dependent plasticity, Biol Cybern, 2002; 87(5-6): 373-82.
Buonomano, D. V.   Decoding temporal information: a model based on short-term synaptic plasticity, J Neurosci, 2000; 20: 1129-1141.
Buonomano, D. V.   Distinct functional types of associative long-term potentiation in neocortical and hippocampal pyramidal neurons, J Neurosci, 1999; 19: 6748-6754.
Buonomano, D. V. Merzenich, M.   A neural network model of temporal code generation and position-invariant pattern recognition, Neural Comput, 1999; 11(1): 103-16.
Buonomano, D. V. Merzenich, M. M.   Cortical plasticity: from synapses to maps, Annual Rev. Neuroscience, 1998; 21: 149-186.
Buonomano, D. V. Merzenich, M. M.   Temporal information transformed into a spatial code by a neural network with realistic properties, Science, 1995; 267: 1028-30.
Buonomano, D. V. Byrne, J. H.   Long-term synaptic changes produced by a cellular analog of classical conditioning in Aplysia, Science, 1990; 249(4967): 420-3.
Stephen Caldwell Cannon, M.D., Ph.D.

Steve Cannon, M.D., Ph.D.

Biography

The primary research interests of our laboratory are how ion channels regulate the electrical excitability of cells and how defects in these channels lead to human disease. In the past two decades, mutations of ion channel genes have been found to be the primary cause for over 100 human diseases. Our research program is focused on the mechanistic basis for a group of inherited conditions that alter the electrical excitability of skeletal muscle, including periodic paralysis and myotonia. We have characterized the gating defects of mutant channels, generated computational models of muscle excitability, and produced genetically-engineered mice to gain insights on the pathomechanisms of these disorders and to explore therapeutic interventions.

David Glanzman, Ph.D.

Publications

A selected list of publications:

Roberts Adam C, Bill Brent R, Glanzman David L   Learning and memory in zebrafish larvae Frontiers in neural circuits, 2013; 7: 126.
Glanzman David L   PKM and the maintenance of memory F1000 biology reports, 2013; 5: 4.
Glanzman David L   David L. Glanzman Current biology : CB, 2012; 22(21): R895-7.
Cai Diancai, Pearce Kaycey, Chen Shanping, Glanzman David L   Reconsolidation of long-term memory in Aplysia Current biology : CB, 2012; 22(19): 1783-8.
Glanzman David L   Behavioral neuroscience: no easy path from genes to cognition Current biology : CB, 2012; 22(9): R302-4.
Glanzman David L   Olfactory habituation: fresh insights from flies Proceedings of the National Academy of Sciences of the United States of America, 2011; 108(36): 14711-2.
Cai Diancai, Pearce Kaycey, Chen Shanping, Glanzman David L   Protein kinase M maintains long-term sensitization and long-term facilitation in aplysia The Journal of neuroscience : the official journal of the Society for Neuroscience, 2011; 31(17): 6421-31.
Roberts Adam C, Reichl Jun, Song Monica Y, Dearinger Amanda D, Moridzadeh Naseem, Lu Elaine D, Pearce Kaycey, Esdin Joseph, Glanzman David L   Habituation of the C-start response in larval zebrafish exhibits several distinct phases and sensitivity to NMDA receptor blockade PloS one, 2011; 6(12): e29132.
Issa Fadi A, O’Brien Georgeann, Kettunen Petronella, Sagasti Alvaro, Glanzman David L, Papazian Diane M   Neural circuit activity in freely behaving zebrafish (Danio rerio) The Journal of experimental biology, 2011; 214(Pt 6): 1028-38.
Glanzman David L   Common mechanisms of synaptic plasticity in vertebrates and invertebrates Current biology : CB, 2010; 20(1): R31-6.
Glanzman David L   Ion pumps get more glamorous Nature neuroscience, 2010; 13(1): 4-5.
Esdin Joseph, Pearce Kaycey, Glanzman David L   Long-term habituation of the gill-withdrawal reflex in aplysia requires gene transcription, calcineurin and L-type voltage-gated calcium channels Frontiers in behavioral neuroscience, 2010; 4(1): 181.
Glanzman David L   Habituation in Aplysia: the Cheshire cat of neurobiology Neurobiology of learning and memory, 2009; 92(2): 147-54.
Villareal Greg, Li Quan, Cai Diancai, Fink Ann E, Lim Travis, Bougie Joanna K, Sossin Wayne S, Glanzman David L   Role of protein kinase C in the induction and maintenance of serotonin-dependent enhancement of the glutamate response in isolated siphon motor neurons of Aplysia californica The Journal of neuroscience : the official journal of the Society for Neuroscience, 2009; 29(16): 5100-7.
Fulton Daniel, Condro Michael C, Pearce Kaycey, Glanzman David L   The potential role of postsynaptic phospholipase C activity in synaptic facilitation and behavioral sensitization in Aplysia Journal of neurophysiology, 2008; 100(1): 108-16.
Glanzman DL   New tricks for an old slug: The critical role of postsynaptic mechanisms in learning and memory in Aplysia, Prog. Brain Res, 2008; 169C: 277-292.
Glanzman David L   New tricks for an old slug: the critical role of postsynaptic mechanisms in learning and memory in Aplysia Progress in brain research, 2008; 169(12): 277-92.
Glanzman David L   Octopus conditioning: a multi-armed approach to the LTP–learning question Current biology : CB, 2008; 18(12): R527-30.
Cai Diancai, Chen Shanping, Glanzman David L   Postsynaptic regulation of long-term facilitation in Aplysia Current biology : CB, 2008; 18(12): 920-5.
Villareal Greg, Li Quan, Cai Diancai, Glanzman David L   The role of rapid, local, postsynaptic protein synthesis in learning-related synaptic facilitation in aplysia Current biology : CB, 2007; 17(23): 2073-80.
Jami SA, Wright WG, Glanzman DL.   Differential classical conditioning of the gill-withdrawal reflex in Aplysia recruits both NMDA receptor-dependent enhancement and NMDA receptor-dependent depression of the reflex, J Neurosci, 2007; 27(12): 3064-8.
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Glanzman, D. L   Simple minds: the neurobiology of invertebrate learning and memory, Invertebrate Neurobiology, 2007; 347-380.
Villareal G, Li Q, Cai D, Glanzman DL   The role of rapid, local, postsynaptic protein synthesis in learning-related synaptic facilitation in Aplysia, Curr. Biol, 2007; 17(23): 2073-2080.
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Jami Shekib A, Wright William G, Glanzman David L   Differential classical conditioning of the gill-withdrawal reflex in Aplysia recruits both NMDA receptor-dependent enhancement and NMDA receptor-dependent depression of the reflex The Journal of neuroscience : the official journal of the Society for Neuroscience, 2007; 27(12): 3064-8.
Glanzman DL.   The cellular mechanisms of learning in Aplysia: of blind men and elephants, Biol Bull, 2006; 210(3): 271-9.
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Glanzman David L   The cellular mechanisms of learning in Aplysia: of blind men and elephants The Biological bulletin, 2006; 210(3): 271-9.
Li Q, Roberts AC, Glanzman DL.   Synaptic facilitation and behavioral dishabituation in Aplysia: dependence on release of Ca2+ from postsynaptic intracellular stores, postsynaptic exocytosis, and modulation of postsynaptic AMPA receptor efficacy, J Neurosci, 2005; 25(23): 5623-37.
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Li Quan, Roberts Adam C, Glanzman David L   Synaptic facilitation and behavioral dishabituation in Aplysia: dependence on release of Ca2+ from postsynaptic intracellular stores, postsynaptic exocytosis, and modulation of postsynaptic AMPA receptor efficacy The Journal of neuroscience : the official journal of the Society for Neuroscience, 2005; 25(23): 5623-37.
Roberts AC, Glanzman DL.   Learning in Aplysia: looking at synaptic plasticity from both sides, Trends Neurosci, 2003; 26(12): 662-70.
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Ezzeddine Y, Glanzman DL.   Prolonged habituation of the gill-withdrawal reflex in Aplysia depends on protein synthesis, protein phosphatase activity, and postsynaptic glutamate receptors, J Neurosci, 2003; 23(29): 9585-94.
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Chitwood RA, Li Q, Glanzman DL.   Serotonin facilitates AMPA-type reponses in isolated siphon motor neurons of Aplysia in culture, J Physiol, 2001; 534(Pt 2): 501-10.
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Murphy GG, Glanzman DL.   Cellular analog of differential classical conditioning in Aplysia: disruption by the NMDA receptor antagonist DL-2-amino-5-phosphonovalerate, J Neurosci, 1999; 19(23): 10595-602.
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