How is the respiratory central pattern generator configured and reconfigured? A workshop summary.
University of South Florida, College of Medicine, Tampa 33612, USA.Advances in Experimental Medicine and Biology (Impact Factor: 1.96). 02/2001; 499:179-84.
Article: Determinants of inspiratory activity[Show abstract] [Hide abstract]
ABSTRACT: In vitro and in vivo studies have identified the pre-Bötzinger complex as an important kernel for the generation of inspiratory activity. The mechanisms underlying inspiratory rhythm generation involve pacemaker as well as synaptic mechanisms. In slice preparations, blockade of pacemaker properties with blockers for the persistent Na+ current, and the Ca2+-activated inward cationic current, abolishes respiratory activity. Here we show that blockade of the persistent Na+ current alone is sufficient to abolish respiratory activity in the in situ preparation. Although pacemaker neurons may be critical for establishing the basic respiratory rhythm, their rhythmic output is modulated by many elements of the respiratory network. For example, levels of synaptic inhibition control whether they burst or not, and endogenously released neuromodulators, such as serotonin and substance P modulate their intrinsic membrane currents. We hypothesize that the balance between synaptic and intrinsic pacemaker properties in the respiratory network is plastic, and that alterations of this balance may lead to dynamic reconfigurations of the respiratory network, which ultimately give rise to different activity patterns.Respiratory Physiology & Neurobiology 08/2005; 147(2-3):145-57. DOI:10.1016/j.resp.2005.05.003 · 1.97 Impact Factor
Chapter: Gravitational Clustering[Show abstract] [Hide abstract]
ABSTRACT: When multiple spike trains are simultaneously recorded, it is desirable to screen the data for signs of neuronal association. The gravity transformation does this by representing the N observed spike trains as charges on N particles moving in an N-space. An appropriate force law results in particle trajectories and aggregations that can be interpreted in terms of dynamic neuronal interactions and of neuronal assemblies.Analysis of Parallel Spike Trains, 12/2009: pages 157-172;
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.