Peripheral targets regulate the development and survival of the nerve centers that serve them, because the elimination of the target normally results in massive death of the developing neurons that innervate it. This widely accepted theory appears to be well supported by developing limbs and their innervation in tetrapods, but it is unclear whether this concept applies to primitive vertebrates that have paired appendages. In this study, we examined the development of spinal motor neurons following pectoral fin bud removal (FBR) in medaka fish. After FBR, motor axons initially extended to the plexus region in a morphologically normal pattern. During the period of fin innervation, motor axons in the FBR‐medaka failed to form the normal brachial plexus and elongated ventrally toward the abdominal region. In the ventral horn that would normally innervate the pectoral fin, however, neurons did not undergo cell death following FBR. There were no differences in the numbers of axons in the ventral roots between the FBR and control sides. Motor neuron markers, RALDH2 and FOXP1, that are expressed in limb‐innervating motor neurons in the lateral motor column in tetrapods, were also expressed in the ventral horns of both the control and FBR sides in medaka fish. These results suggest that, although both tetrapod and medaka motor neurons share the same molecular characteristics for innervating paired appendages, the fates of neurons differ following the removal of their peripheral target. Therefore, the relationship between the peripheral target and its nerve center may be altered among vertebrates.

This report attempts to apply a hybrid classification technique based on POLSAR image analysis to detect the manmade residential houses in a local mountainous area stricken by the Mid Niigata Prefecture Earthquake. The present hybrid scheme includes the scattered power decomposition method based on physical scattering nature and the scattering feature extraction method using polarimetric correlation coefficient. From the results of the image analysis for actual POLSAR data, it is verified that the present hybrid scheme provides us accurate classification of the man-made targets even in the severe mountainous area.Index Terms-man-made target classification in stricken area, scattered power decomposition, polarimetric correlation coefficient, POLSAR