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W L Dunin-Barkowski

Publications and source records attributed to W L Dunin-Barkowski.

5 recordsLinked to original sources

Respiratory pattern generator model using Ca++-induced Ca++ release in neurons shows both pacemaker and reciprocal network properties.

There are two contradictory explanations for central respiratory rhythmogenesis. One suggests that respiratory rhythm emerges from interaction between inspiratory and expiratory neural semicenters that inhibit each other and thereby provide reciprocal rhythmic activity (Brown 1914). The other uses bursting pacemaker activity of individual neurons to produce the rhythm (Feldman and Cleland 1982). Hybrid models have been developed to reconcile these two seemingly conflicting mechanisms (Smith et al. 2000; Rybak et al. 2001). Here we report computer simulations that demonstrate a unified mechanism of the two types of oscillator. In the model, we use the interaction of Ca(++)-dependent K+ channels (Mifflin et al. 1985) with Ca(++)-induced Ca++ release from intracellular stores (McPherson and Campbell 1993), which was recently revealed in neurons (Hernandez-Cruz et al. 1997; Mitra and Slaughter 2002a,b; Scornik et al. 2001). Our computations demonstrate that uncoupled neurons with these intracellular mechanisms show conditional pacemaker properties (Butera et al. 1999) when exposed to steady excitatory inputs. Adding weak inhibitory synapses (based on increased K+ conductivity) between two model neural pools surprisingly synchronizes the activity of both neural pools. As inhibitory synaptic connections between the two pools increase from zero to higher values, the model produces first dissociated pacemaker activity of individual neurons, then periodic synchronous bursts of all neurons (inspiratory and expiratory), and finally reciprocal rhythmic activity of the neural pools.

Biological Clocks↗

Suppression of diaphragmatic activity during spontaneous ponto-geniculo-occipital waves in cat.

It has been reported that spontaneous ponto-geniculo-occipital (PGO) waves, which occur during REM sleep in the cat, are associated with a brief inhibition of diaphragmatic activity (Orem, 1980). This report was preliminary and not supported by a detailed analysis. We report here analysis of the relationship between PGO waves and diaphragmatic activity based on 3073 PGO waves recorded simultaneously with diaphragmatic activity. The results show that there is indeed an inhibition of diaphragmatic activity during PGO waves. This inhibition has an amplitude up to 20% of background, and a duration (approximately 80 ms) approximately coinciding with the temporal duration of the PGO wave. In addition, we analyzed the relationships among the activity of medullary respiratory neurons, PGO waves, and diaphragmatic activity. Two neurons were observed whose relationships to diaphragmatic activity and PGO waves were consistent with the idea that they mediated the PGO-associated inhibition of diaphragmatic activity. However, the number of PGO waves involved in the analysis of the interaction between medullary respiratory neuronal activity and diaphragmatic activity was small and, although suggestive, was not conclusive.

Animals↗

Computer simulation of a cerebellar cortex compartment. II. An information learning and its recall in the Marr's memory unit.

Computer simulation experiments are described regarding information storage and retrieval at a network consisting of one Purkinje cell and 20,000 granule cells. The information content depends on a scheme type and the properties of Purkinje cells. It is shown that a practically attainable information record efficiency is of the order 0.6 bit per binary memorising synapse. Associative information recall is demonstrated for the Marr's memory unit and expressions are derived for an information-content estimation based on parameter values obtained by simulation. The consequences of this computer simulation for physiological experiments are extensively discussed.

Animals↗