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Nine new species of Hyperaspis from various South American localities are described, illustrated, and compared with previously described taxa. New taxa are: Hyperaspis luciae, H. corcovado, H. divaricata, H. humboldti, H. mimica, H. praecipua, H. unimaculosa, H. drechseli, and H. esmeraldas. Hyperaspis pectoralis Crotch is recognized as a valid species of Hyperaspis and integrated into the existing classification.
This paper summarizes the published information on the beetle fauna of the northern Leeward Islands (Anguilla, Antigua, Barbuda, Nevis, Saba, St. Barthélemy, St. Eustatius, St. Kitts, St. Martin-St. Maarten, and smaller associated islands, excluding Montserrat). These islands are generally smaller, lower, and drier than the remaining Leeward and Windward islands of the Lesser Antilles island arc. The fauna contains 26 families, with 155 genera, and 218 species. The families with the largest number of recorded species are Staphylinidae (36), Cerambycidae (28), Scarabaeidae (25), Tenebrionidae (23), Curculionidae (18), and Carabidae (15). At least 7 species (3.2% of the fauna) were probably introduced to the island by human activities. Sixteen species (7.3%) are endemic (restricted) to a single paleo-island bank and likely speciated there. Twenty nine species (13.3%) are shared only with other islands of the Lesser Antilles (Lesser Antillean endemics), and 43 species (19.7%) are more widespread Antilles endemics. The remaining 123 species (56.4%) in the fauna are otherwise mostly widely distributed in the Antilles and the Neotropical Region. The local beetle fauna is largely an immigrant fauna and has mostly originated elsewhere than on the islands of the northern Leewards. Summary data on total species endemicity of the entire Lesser Antilles indicate the presence of at least 1278 endemic beetle species, which is a density of about 20.7 species per 100 km2. This is now equivalent to that of the endemic vascular plants of the Caribbean islands. This truly makes the Caribbean islands a biodiversity hotspot for beetles. For the northern Leewards, it is evident that the beetle diversity is markedly understudied, and that the actual number of species is many times higher than now known.
The biogeographic significance of Diplopoda is substantiated by 50 maps documenting indigenous occurrences of the 16 orders, the three Spirostreptida s. l. suborders – Cambalidea, Epinannolenidea, Spirostreptidea – and all higher taxa including Diplopoda itself. The class is indigenous to all continents except Antarctica and islands/archipelagos in all temperate and tropical seas and oceans except the Arctic; it ranges from Kodiak Island and the northern Alaskan Panhandle, United States (USA), southern Hudson Bay, Canada, and near or north of the Arctic Circle in Iceland, continental Scandinavia, and Siberia to southern “mainland” Argentina, the southern tips of Africa and Tasmania, and Campbell Island, subantarctic New Zealand. The vast, global distribution is interrupted by sizeable, poorly- or unsampled areas including the Great Basin, USA; the Atacama Desert region of Chile and neighboring countries; southern South American islands; the central Kalahari and Sahara deserts; the Gobi Desert, Mongolia, and all of north-central and western China; from north of the Caspian Sea, Russia, to central Kazakhstan; and the “Outback” of central Australia. Five Arabian countries lack both samples and published records of indigenous diplopods – Bahrain, Kuwait, Oman, Qatar, and United Arab Emirates – as do Turks and Caicos, in the New World, and Mauritania and possibly Egypt, Africa. New records, including the first for Chilognatha from Botswana and the first specific localities from Northern Territory, Australia, are cited in the Appendix. Increased emphasis on mappings in taxonomic research is warranted along with investigations of insular “species swarms” that constitute a microcosm of the early evolution of the class. The largest “species swarm” in the Diplopoda is Diplopoda itself!
The investigation of distributed coding across multiple neurons in the cortex remains to this date a challenge. Our current understanding of collective encoding of information and the relevant timescales is still limited. Most results are restricted to disparate timescales, focused on either very fast, e.g., spike-synchrony, or slow timescales, e.g., firing rate. Here, we investigated systematically multineuronal activity patterns evolving on different timescales, spanning the whole range from spike-synchrony to mean firing rate. Using multi-electrode recordings from cat visual cortex, we show that cortical responses can be described as trajectories in a high-dimensional pattern space. Patterns evolve on a continuum of coexisting timescales that strongly relate to the temporal properties of stimuli. Timescales consistent with the time constants of neuronal membranes and fast synaptic transmission (5–20 ms) play a particularly salient role in encoding a large amount of stimulus-related information. Thus, to faithfully encode the properties of visual stimuli the brain engages multiple neurons into activity patterns evolving on multiple timescales.
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the phoneme level and one at the utterance level, with a phoneme-level bagging scheme. We control for many parameters and other choices, such as the state inference scheme used. In an unbiased experiment, we clearly show that the gain of boosting methods compared to a single hidden Markov model is in all cases only marginal, while bagging significantly outperforms all other methods. We thus conclude that bagging methods, which have so far been overlooked in favour of boosting, should be examined more closely as a potentially useful ensemble learning technique for speech recognition.