Literature DB >> 16956986

Response properties and synchronization of rhythmically firing dendritic neurons.

Joshua A Goldberg1, Chris A Deister, Charles J Wilson.   

Abstract

The responsiveness of rhythmically firing neurons to synaptic inputs is characterized by their phase-response curve (PRC), which relates how weak somatic perturbations affect the timing of the next action potential. The shape of the somatic PRC is an important determinant of collective network dynamics. Here we study theoretically and experimentally the impact of distally located synapses and dendritic nonlinearities on the synchronization properties of rhythmically firing neurons. By combining the theories of quasi-active cables and phase-coupled oscillators we derive an approximation for the dendritic responsiveness, captured by the neuron's dendritic PRC (dPRC). This closed-form expression indicates that the dPRCs are linearly filtered versions of the somatic PRC and that the filter characteristics are determined by the passive and active properties of the dendrite. The passive properties induce leftward shifts in the dPRCs and attenuate them. Our analysis yields a single dimensionless parameter that classifies active dendritic conductances as either regenerative conductances that counter the passive properties by boosting the dPRCs or restorative conductances that high-pass filter the dPRCs. Thus dendritic properties can generate a qualitative difference between the somatic and dendritic PRCs. As a result collective dynamics can be qualitatively different depending on the location of the synapse, the neuronal firing rates, and the dendritic nonlinearities. Finally, we use dual whole cell recordings from the soma and apical dendrite of cortical pyramidal neurons to test these predictions and find that empirical dPRCs are shifted leftward, as predicted, but may also display high-pass characteristics resulting from the restorative dendritic HCN (h) current.

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Year:  2006        PMID: 16956986     DOI: 10.1152/jn.00810.2006

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  27 in total

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Authors:  Michael A Farries; Charles J Wilson
Journal:  J Neurophysiol       Date:  2012-07-11       Impact factor: 2.714

Review 2.  Neurophysiological and computational principles of cortical rhythms in cognition.

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3.  Phase-resetting curve determines how BK currents affect neuronal firing.

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4.  Phase-response curves and synchronized neural networks.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

5.  Engineering the synchronization of neuron action potentials using global time-delayed feedback stimulation.

Authors:  Craig G Rusin; Sarah E Johnson; Jaideep Kapur; John L Hudson
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-12-06

Review 6.  Functional connectivity and integrative properties of globus pallidus neurons.

Authors:  D Jaeger; H Kita
Journal:  Neuroscience       Date:  2011-07-27       Impact factor: 3.590

7.  Synchronous and asynchronous bursting states: role of intrinsic neural dynamics.

Authors:  Takashi Takekawa; Toshio Aoyagi; Tomoki Fukai
Journal:  J Comput Neurosci       Date:  2007-03-27       Impact factor: 1.621

8.  Spectral reconstruction of phase response curves reveals the synchronization properties of mouse globus pallidus neurons.

Authors:  Joshua A Goldberg; Jeremy F Atherton; D James Surmeier
Journal:  J Neurophysiol       Date:  2013-08-21       Impact factor: 2.714

9.  Responses of a bursting pacemaker to excitation reveal spatial segregation between bursting and spiking mechanisms.

Authors:  Selva K Maran; Fred H Sieling; Kavita Demla; Astrid A Prinz; Carmen C Canavier
Journal:  J Comput Neurosci       Date:  2011-03-01       Impact factor: 1.621

10.  The role of ongoing dendritic oscillations in single-neuron dynamics.

Authors:  Michiel W H Remme; Máté Lengyel; Boris S Gutkin
Journal:  PLoS Comput Biol       Date:  2009-09-04       Impact factor: 4.475

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