Effects of dihydropyridines on the components of the ethanol withdrawal syndrome: possible evidence for involvement of potassium, as well as calcium?

Comparison was made of the ability of two dihydropyridine calcium channel antagonists, nitrendipine and felodipine, to prevent a range of signs of ethanol withdrawal. The increases in handling-induced behavior seen in mice during withdrawal from chronic ethanol treatment were prevented by administration of nitrendipine, 50 mg/kg, but not by, felodipine, 10 mg/kg, a dose that caused a similar displacement of dihydropyridine binding in central nervous system tissue, in vivo and in vitro. A higher dose of felodipine, 20 mg/kg, also had no effects. Nitrendipine, but not felodipine, prevented audiogenic seizures during the withdrawal phase. Similarly, nitrendipine prevented both the decrease in thresholds for N-methyl-DL-aspartate seizures and the increase in thresholds for convulsions due to 4-aminopyridine, which were seen during the withdrawal period, while felodipine did not alter either of these changes. Withdrawal from the ethanol chronic treatment increased the thresholds to seizures produced by intravenous aminophylline; this change was also prevented by nitrendipine. The significance of this increase in thresholds was lost after felodipine administration. In naive mice (not treated with ethanol) the doses of nitrendipine and felodipine used in the withdrawal studies were tested against the effects of convulsant drugs. Both dihydropyridines increased, to similar extents, the thresholds for seizures produced by bicuculline, pentylenetetrazol, and by N-methyl-DL-aspartate. The thresholds for aminophylline were unaltered by either dihydropyridine. In contrast, the thresholds for seizures due to 4-aminopyridine in the naive animals were not changed by felodipine, but were increased by nitrendipine. The results suggest that changes in potassium, as well as calcium, may possibly be involved in some of the stages of the ethanol withdrawal syndrome.

Inverse perspective mapping simplifies optical flow computation and obstacle detection.

We present a scheme for obstacle detection from optical flow which is based on strategies of biological information processing. Optical flow is established by a local "voting" (non-maximum suppression) over the outputs of correlation-type motion detectors similar to those found in the fly visual system. The computational theory of obstacle detection is discussed in terms of space-variances of the motion field. An efficient mechanism for the detection of disturbances in the expected motion field is based on "inverse perspective mapping", i.e., a coordinate transform or retinotopic mapping applied to the image. It turns out that besides obstacle detection, inverse perspective mapping has additional advantages for regularizing optical flow algorithms. Psychophysical evidence for body-scaled obstacle detection and related neurophysiological results are discussed.

Parallel integration of vision modules.

Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer.