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C. Canavier, Ph.D.

Professor and Vice Chair for Research
Department of Cell Biology and Anatomy

1901 Perdido Street, 6135
New Orleans, LA 70112

Phone: (504) 599-0486

Fax: (504) 568-5801

ccanav@lsuhsc.edu

 2012 3:22:50 PM

2011 Lab Members from left to right: Lakshmi Chandrsekaran, Shuoguo Wang, Carmen Canavier, Sai Achuthan, Marco Huertas, Kun Qian, and Ruben Tikidji-Hamburyan

 

 2010 10:18:45 AM
Selva's going away party with the Canavier Lab on the occasion of his doctorate.

http://www.medschool.lsuhsc.edu/faculty/docs/canavier_retreat.pdf

Degrees

1987-1991: Ph.D., Rice University, Houston TX
1975-1979: B.E., Vanderbilt University, Nashville TN

Bio

Positions:

2011 - present:  Professor and Vice-Chair for Research, Department of Cell Biology and Anatomy, LSU Health Sciences Center, New Orleans, LA

2009 - 2011:  Professor of Neuroscience and Ophthalmology, LSU Health Sciences Center, New Orleans, LA

2005 – 2009: Associate Professor of Ophthalmology and Neuroscience, Neuroscience Center of Excellence, LSU Health Sciences Center, New Orleans, LA

2001-2005: Associate Professor, University of New Orleans

1999-2001: Assistant Professor, University of New Orleans

1997-1999: Associate Professor/Research, University of New Orleans

1995-1997: Research Assistant Professor, UT Health Sciences Center, Houston TX

1994-1995: Postdoctoral Fellow, UT Health Sciences Center, Houston TX

1993-1994: Research Fellow, Baylor Medical School, Houston TX

1991-1993: Postdoctoral Fellow, UT Health Sciences Center, Houston TX
 

Study Sections 

  • Permanent Member of the Cognitive Neuroscience Study Section at the Center for Scientific Review through June 30, 2009.
  • Ad hoc member of the NINDS study section NSD-B, Feb. 28, 2008.
  • NSF CRCNS B Panel to review grants submitted to the Joint NSF/NIH Collaborative Research on Computational Neuroscience, Jan. 15-16, 2009.
  • ARRA R15 AREA Special Emphasis panel for NIH CSR on Dec. 7, 2009.
  • NIH Special Emphasis Panel ZRG1 IFCN-L (02) M Vision and Cognition Jan. 20-21, 2010.
  • NSF-NIH Panel to review grants submitted to the Collaborative Research in Computational Neuroscience program and the German-USA Collaboration in Computational Neuroscience Feb. 22-23, 2010.
  • National Institute of Mental Health Special Emphasis Panel Conte Center Review, Feb. 25, 2010.
  • Ad hoc member of BPNS CSR study section, June 10, 2010
  • NIH/NSF/BMBS joint review for the CRCNS Collaborative Research Computational Neuroscience, March 25-25, 2011
  • NIH Special Emphasis Panel ZDA1 -MXL -F -(10) to review T90/R90 Training in Computational Neuroscience, March 30, 2011
  • Permanent Member of the NIH Center for Scientific Review Biophysics of Neural System (BPNS) July 1, 2011 to June 30, 2014. Alternate Chair for June 5, 2014 meeting.
  • Stage 1 reviewer for ZRG1 RPHB-W 53 R, RFA-RM-13-009: NIH Director's Early Independence Awards Review April 10, 2014
  • Reviewer for NIH Center for Scientific Review's pilot study to evaluate the relative quality of grant applications, February 16, 2015
  • Served on the NIH NINDS Special Emphasis Panel/Scientific Review Group 2015/05 NST-2 reviewing F30/F31 and K99/00 applications March 9-10, 2015
Research Interests

Computational Neuroscience: Nonlinear Dynamics of Single Neurons and Small Networks

Oscillations and Synchrony: How do neurons synchronize their activity? How are pacemaking and bursting oscillations generated and modulated?

My major area of research interest is computational neuroscience, specifically the nonlinear dynamics of neurons and small networks, synchronization, oscillation, central pattern generation, bursting neurons, midbrain dopaminergic neurons, and the regulation of the firing pattern in neurons.

I have pursued two lines of research during my career. The first is the synchronization and phase locking of small networks of neurons. One application of this research is a better understanding of central pattern generating networks for respiration, locomotion, and other repetitive motor activities. I have utilized primarily a technique called phase resetting, or phase response curves. This technique can be applied to any cyclical process, and was developed initially to better understand circadian rhythms. I have contributed to the application of these methods to neural oscillators, which have additional complications such as threshold behavior and pulsatile coupling. I have published many original proofs regarding the synchronization of neural oscillators. These proofs utilize both nonlinear systems theory (manifested as phase resetting) and linear systems theory (manifested as stability analyses) applied to neural networks. Currently, I am collaborating with invertebrate electrophysiologists to test these methods in hybrid circuits comprised of one biological neuron and one computational model neuron using a technique called the dynamic clamp. One goal of this work is to generalize to larger oscillatory networks such as those observed in mammalian cortex.

  The second line of research involves the biophysical basis of different firing patterns in neurons, such as regular pacemaker firing, burst firing and irregular firing. My initial work was on neuron R15 in Aplysia, but my current research focuses on the dopaminergic neurons of the mammalian midbrain. These neurons exhibit a wide variety of electrical activity both in a slice preparation and in the intact animal. In collaboration with electro-physiologists, this line of research focuses on how the intrinsic currents generate the firing pattern, and how they interact with synaptic currents and neuromodulators to produce alterations in the firing pattern. Dysfunctional dopaminergic signaling has been implicated in a number of diseases, and the firing pattern in these neurons, in particular the timing of burst firing, is thought to have important functional consequences. I utilize techniques from the mathematical field of nonlinear dynamics, including bifurcation theory, as well as computational techniques to simulate multi-compartment neurons, in order to synthesize the experimental data into a theoretical model of dopamine neurons. One goal of this research is to predict the effect of different types of plasticity as well as various pharmaceutical agents on the electrical activity of dopamine neurons.

Current Research

    The work in my lab is computational in nature. Funded collaborations, generally use the Dynamic Clamp to integrate theory and experiment, and currently include the following experimental labs: Dr. Robert Butera (Georgia Tech), Dr. Astrid Prinz (Emory), Dr. Paul Shepard (Maryland Psychiatric Research Institute), Dr. Edwin Levitan (Pittsburgh Medical School), and Dr. John A. White (University of Utah).  Synchronization of neural activity is one unifying theme of the research conducted in my lab. Synchronization in its broadest sense encompasses the generation of the phase locked patterns exhibited by the central pattern generators responsible for rhythmic activity such as respiration and locomotion. Hence we have developed general criteria under which such lockings can occur in oscillators in which the duration of the postsynaptic potential is short compared to a cycle period.  Synchronized oscillations are also thought to underlie many aspects of cognition. Rapid, internally generated synchronization between distal regions in the brain that relies on intrinsic oscillation has been shown to be important for encoding, retention, and retrieval of information and proposed to underlie binding and conscious perception. Cross frequency synchronization between theta and gamma has been suggested to match the information stored in working memory with incoming sensory information, and synchronization between alpha and theta has been suggested as a mechanism for retrieving items from long-term memory and loading them in working memory. Synchronization of brain rhythms is known to be affected in most psychiatric disorders.  We have recently produced a novel proof that synchrony is a generic solution of identical pulse coupled oscillators separated by a conduction delay, and shown that the robustness of the near synchronous solution in the presence of heterogeneity increases with coupling strength. We have also recently established existence and stability criteria for N:1 cross frequency lockings for pulse coupled oscil-lators. Another focus area is the oscillatory dynamics of bursting and pacemaking rhythms. The dopaminergic neurons of the mammalian midbrain have been extensively modeled in my lab. The coupled oscillator theory of the dopamine neurons holds that the spiking rate is usually driven by slow calcium oscillations in the soma and larger dendrites but during bursting the activation of distal NMDA receptors allows the smaller dendrites to dominate. Recently we have shown that in the presence of spiking activity, the intuition that the natural frequency of the smaller dendrites is faster does not hold. We have also recently suggested critical roles for the L-type calcium current and the SK potassium current in bursting activity, as well as a role for the ether a-go-go related potassium current in relieving depolarization block. Abnormal dopaminergic signaling has been implicated in Parkinson's, schizophrenia, and drug abuse.

Teaching Activities

Lecturer:

ANAT 264 - Synaptic Organization of the Brain
NERUO 203 - Investigative Neuroscience
SPM 100 - Houses Program, Basic Science Mentor, Napoleon House
ANAT 280 - Special Topics Co-Coordinator

Selected Publications

Recent Papers:

Yu N and Canavier CC. A mathematical model of a midbrain dopamine neuron identifies two slow variables likely responsible for bursts evoked by SK channel antagonists and terminated by depolarization block. Accepted to Journal of Mathematical Neuroscience.

Canavier CCPhase resetting as a tool of information transmission. Current Opinion in Neurobiology,Volume 31, April 2015, pages 206–213.

Qian K, Yu N, Tucker KR, Levitan ES and Canavier CC. Mathematical analysis of depolarization block mediated by slow inactivation of fast sodium channels in midbrain dopamine neurons.  J. Neurophysiol. 2014 112(11):2779-90.

Thounaojam US, Cui J, Norman SE, Butera RJ and Canavier CC. Slow noise in the period of a biological oscillator underlies gradual trends and abrupt transitions in phasic relationships in hybrid neural networks. PLoS Comput Biol  2014 10(5): e1003622. doi:10.1371/journal.pcbi.1003622

Tikidji-Hamburyan R, Lin EC, Gasparini S and Canavier CC. Effect of Heterogeneity and Noise on Cross Frequency Phase-Phase and Phase-Amplitude Coupling.Network: Computation in Neural Systems 25:38-62, 2014.

Canavier CC,  Wang S, and Chandrasekaran L. Effect of Phase Resetting Skew on Synchronization with and without Conduction Delays.Front Neural Circuits. 2013 Dec 11;7:194. doi: 10.3389/fncir.2013.00194.

Wang S, Musarof M, Canavier CC and Gasparini S. Hippocampal CA1 pyramidal cells exhibit Type 1 phase response curves and excitability.J Neurophysiol 109: 2757–2766, 2013.

Tucker KR, Huertas MA, Horn JP, Canavier CC, Levitan ES. Pacemaker rate and depolarization block in nigral dopamine neurons: a somatic sodium channel balancing act.J Neurosci. 2012 Oct 17;32(42):14519-31. doi: 10.1523/JNEUROSCI.1251-12.2012. PMID: 23077037 [PubMed - indexed for MEDLINE]

Sieling FH, Archila S, Hooper R, Canavier CC, Prinz AA. Phase response theory extended to nonoscillatory network components. Phys Rev E Stat Nonlin Soft Matter Phys. 2012 May;85(5 Pt 2):056208. Epub 2012 May 14. PMID: 23004844 [PubMed - in process]Free PMC Article

Ji H, Tucker KR, Putzier I, Huertas MA, Horn JP, Canavier CC, Levitan ES, Shepard PD. Functional characterization of ether-à-go-go-related gene potassium channels in midbrain dopamine neurons - implications for a role in depolarization block. Eur J Neurosci. 2012 Oct;36(7):2906-16. doi: 10.1111/j.1460-9568.2012.08190.x. Epub 2012 Jul 11. PMID: 22780096 [PubMed - in process]

Wang S, Chandrasekaran L, Fernandez FR, White JA, Canavier CC. Short conduction delays cause inhibition rather than excitation to favor synchrony in hybrid neuronal networks of the entorhinal cortex. PLoS Comput Biol. 2012 Jan;8(1):e1002306. doi: 10.1371/journal.pcbi.1002306. Epub 2012 Jan 5. PMID: 22241969 [PubMed - indexed for MEDLINE] Free PMC Article

Maran SK, Sieling FH, Demla K, Prinz AA, Canavier CC. Responses of a bursting pacemaker to excitation reveal spatial segregation between bursting and spiking mechanisms. J Comput Neurosci. 2011 Oct;31(2):419-40. doi: 10.1007/s10827-011-0319-y. Epub 2011 Mar 1. PMID: 21360137 [PubMed - indexed for MEDLINE] Free PMC Article

Woodman MM, Canavier CC. Effects of conduction delays on the existence and stability of one to one phase locking between two pulse-coupled oscillators. J Comput Neurosci. 2011 Oct;31(2):401-18. doi: 10.1007/s10827-011-0315-2. Epub 2011 Feb 23. PMID: 21344300 [PubMed - indexed for MEDLINE] Free PMC Article

Sieling FH, Canavier CC, Prinz AA. Inclusion of noise in iterated firing time maps based on the phase response curve. Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jun;81(6 Pt 1):061923. Epub 2010 Jun 25. PMID: 20866456 [PubMed - indexed for MEDLINE] Free PMC Article

Chandrasekaran L, Achuthan S, Canavier CC. Stability of two cluster solutions in pulse coupled networks of neural oscillators. J Comput Neurosci. 2011 Apr;30(2):427-45. doi: 10.1007/s10827-010-0268-x. Epub 2010 Aug 20. PMID: 20725773 [PubMed - indexed for MEDLINE] Free PMC Article

Achuthan S, Butera RJ, Canavier CC. Synaptic and intrinsic determinants of the phase resetting curve for weak coupling. J Comput Neurosci. 2011 Apr;30(2):373-90. doi: 10.1007/s10827-010-0264-1. Epub 2010 Aug 11. PMID: 20700637 [PubMed - indexed for MEDLINE] Free PMC Article

Canavier CC, Achuthan S. Pulse coupled oscillators and the phase resetting curve. Math Biosci. 2010 Aug;226(2):77-96. doi: 10.1016/j.mbs.2010.05.001. Epub 2010 May 10. Review. PMID: 20460132 [PubMed - indexed for MEDLINE] Free PMC Article

Kuznetsova AY, Huertas MA, Kuznetsov AS, Paladini CA, Canavier CC. Regulation of firing frequency in a computational model of a midbrain dopaminergic neuron. J Comput Neurosci. 2010 Jun;28(3):389-403. doi: 10.1007/s10827-010-0222-y. Epub 2010 Mar 10. PMID: 20217204 [PubMed - indexed for MEDLINE] Free PMC Article

Additional Info

Funding

"Mentoring Neuroscience in Louisiana: A Biomedical Program to Enhance Neuroscience"
Computational Core Director and Mentor:  Carmen C. Canavier, Ph.D.
Agency:  NIH/NIGMS (P30GM103340)
Period:  09/01/2012-5/31/2017

"Collaborative Research in Computational Neuroscience: Analysis of synchronization in hybrid neural circuits"
Principal Investigator: Carmen C. Canavier, Ph.D.
Agency: NIH-NINDS (R01NS054281)
Period: 09/15/2005-05/31/2015

Previous Funding

"Intrinsic currents modulate synaptic integration in dopamine neurons"
Principal Investigator: Carmen C. Canavier, Ph.D.
Agency: NIH-NINDS (R01NS061097)
Period: 01/01/2009-12/31/2013  

 "Phase resetting predicts synchronization in hybrid hippocampal circuits"
Principal Investigators: Carmen C. Canavier, Ph.D. and John A White, Ph.D.
Agency: NIH-NIMH (R01MH085387)
Period:08/20/2008-06/30/2011