Literature DB >> 10669497

Intrinsic dynamics in neuronal networks. II. experiment.

P E Latham1, B J Richmond, S Nirenberg, P G Nelson.   

Abstract

Neurons in many regions of the mammalian CNS remain active in the absence of stimuli. This activity falls into two main patterns: steady firing at low rates and rhythmic bursting. How these firing patterns are maintained in the presence of powerful recurrent excitation, and how networks switch between them, is not well understood. In the previous paper, we addressed these issues theoretically; in this paper we address them experimentally. We found in both studies that a key parameter in controlling firing patterns is the fraction of endogenously active cells. The theoretical analysis indicated that steady firing rates are possible only when the fraction of endogenously active cells is above some threshold, that there is a transition to bursting when it falls below that threshold, and that networks becomes silent when the fraction drops to zero. Experimentally, we found that all steadily firing cultures contain endogenously active cells, and that reducing the fraction of such cells in steadily firing cultures causes a transition to bursting. The latter finding implies indirectly that the elimination of endogenously active cells would cause a permanent drop to zero firing rate. The experiments described here thus corroborate the theoretical analysis.

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Year:  2000        PMID: 10669497     DOI: 10.1152/jn.2000.83.2.828

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


  20 in total

1.  Controlling bursting in cortical cultures with closed-loop multi-electrode stimulation.

Authors:  Daniel A Wagenaar; Radhika Madhavan; Jerome Pine; Steve M Potter
Journal:  J Neurosci       Date:  2005-01-19       Impact factor: 6.167

2.  Effects of random external background stimulation on network synaptic stability after tetanization: a modeling study.

Authors:  Zenas C Chao; Douglas J Bakkum; Daniel A Wagenaar; Steve M Potter
Journal:  Neuroinformatics       Date:  2005

3.  Persistent dynamic attractors in activity patterns of cultured neuronal networks.

Authors:  Daniel A Wagenaar; Zoltan Nadasdy; Steve M Potter
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-05-11

4.  Added astroglia promote greater synapse density and higher activity in neuronal networks.

Authors:  Michael D Boehler; Bruce C Wheeler; Gregory J Brewer
Journal:  Neuron Glia Biol       Date:  2007-05

5.  Functional phase response curves: a method for understanding synchronization of adapting neurons.

Authors:  Jianxia Cui; Carmen C Canavier; Robert J Butera
Journal:  J Neurophysiol       Date:  2009-05-06       Impact factor: 2.714

6.  How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?

Authors:  Agnieszka Grabska-Barwińska; Peter E Latham
Journal:  J Comput Neurosci       Date:  2013-10-05       Impact factor: 1.621

7.  Synaptic and intrinsic balancing during postnatal development in rat pups exposed to valproic acid in utero.

Authors:  Elisabeth C Walcott; Emily A Higgins; Niraj S Desai
Journal:  J Neurosci       Date:  2011-09-14       Impact factor: 6.167

8.  A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity.

Authors:  Joachim Hass; Loreen Hertäg; Daniel Durstewitz
Journal:  PLoS Comput Biol       Date:  2016-05-20       Impact factor: 4.475

9.  Firing patterns in the adaptive exponential integrate-and-fire model.

Authors:  Richard Naud; Nicolas Marcille; Claudia Clopath; Wulfram Gerstner
Journal:  Biol Cybern       Date:  2008-11-15       Impact factor: 2.086

10.  Compensating for synaptic loss in Alzheimer's disease.

Authors:  Kamal Abuhassan; Damien Coyle; Ammar Belatreche; Liam Maguire
Journal:  J Comput Neurosci       Date:  2013-06-02       Impact factor: 1.621

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