Keywords--Model-based, Neural networks, Spectrum estimation, Entropy, Ionosphere, Radar, Propagation, Clutter. 1. I N T R O D U C T I O N Model-based neural networks utilize internal models of signals, processes, or objects in order to combine adaptive learning with a priori knowledge. One of the first model-based neural network was Widrow's Adaline (Widrow, 1959). Several neural networks based...

The response of atmospheric CO2 and climate to the reconstructed variability in solar irradiance and radiative forcing by volcanoes over the last millennium is examined by applying a coupled physical-biogeochemical climate model that includes the Lund-Potsdam-Jena dynamic global vegetation model (LPJ-DGVM) and a simplified analogue of a coupled atmosphere-ocean general circulation model. The mo...

Recordings of spike trains made with microwires or silicon electrodes include more noise from various sources that contaminate the observed spike shapes compared with recordings using sharp microelectrodes. This is a particularly serious problem if spike shape sorting is required to separate the several trains that might be observed on a particular electrode. However, if recordings are made wit...

Abstract Introduction Obstructive Sleep Apnea (OSA) is characterized by reduction in airflow. Hypopnea a smaller airflow compared to apnea but also accompanied drop oxygen saturation leading sympathetic activation. Frequent OSA events are correlated with incidence of cardiovascular diseases. Measuring changes requires overnight polysomnography that expensive. Electrocardiogram (ECG) available t...

Recently, Drai et al. (J Neurosci Methods 96 (2000) 119) have introduced an algorithm that segments rodent locomotor behavior into natural units of ‘staying in place’ (lingering) behavior versus going between places (progression segments). This categorization, based on the maximum speed attained within the segment, was shown to be intrinsic to the data, using the statistical method of Gaussian ...

The existence of precise temporal relations in sequences of spike intervals, referred to as ‘spatiotemporal patterns’, is suggested by brain theories that emphasize the role of temporal coding. Specific analytical methods able to assess the significance of such patterned activity are extremely important to establish its function for information processing in the brain. This study proposes a new...

Recording of multiple neurons from a single electrode is common practice during extra-cellular recordings. Separation and sorting of spikes originating from the different neurons can be performed either on-line or off-line using multiple methods for pattern matching. However, all spike sorting techniques fail either fully or partially in identifying spikes from multiple neurons when they overla...

When Horsley and Clark invented the stereotaxic technique they revolutionized experimental neurobiology. For the first time it became possible to repeatably place experimental or surgical probes at precise locations within the skull. Unfortunately, variations in the position and size of neuroanatomical structures within the cranium have always limited the efficiency of this technology. Recent a...

For serial imaging studies of the rat brain with positron emission tomography (PET), reproducible positioning of the head can facilitate spatial alignment of images and quantitative analysis. To achieve this aim, we constructed a plastic head frame and tested the positioning reproducibility on a high-resolution small-animal PET scanner, microPET. Two sets of ear bars, with tapers of either 18° ...