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Fig. 1. Figure 1. Representative Spinicaudata and their typical head shapes. A in Pseudosesarma crassimanum
Fig. 1. Figure 1. Representative Spinicaudata and their typical head shapes. A) Ozestheria altus Shu et al., 2015, male head left lateral view; B) Cyzicus californicus (Packard, 1874), female head left lateral view; C) Ozestheria pilosa (Rogers et al., 2013), male head left lateral view; D) Leptestheria kunmingensis Shu et al., 2015, male head left lateral view; E) L. kunmingensis Shu, et al., 2015, female head left lateral view; F) Eocyzicus taiwanensis Rogers et al., 2017, male head left lateral view; G) Ozestheria sp. "Mongolia", DCR collection 729, male head left lateral view; H) Ozestheria sp. "Mongolia", DCR collection 729, male limb I endopod distal portion, right lateral view; I) Metalimnadia sp. DCR collection 853, male head left lateral view; J) Eoleptestheria cf. ticinensis from Australia, male head left lateral view. Designations: f = fornix; on = occipital notch; oc = occipital condyle; rs = rostral spine; r = rostrum.
Fig. 2 in New finds of the fossil genus representatives of Tonomochota Tiunov et Gusev, 2021 (Lagomorpha, Ochotonidae) in Korydornaya Cave (Jewish Autonomous Oblast, Far East of Russia)
Fig. 2. Plan (A) and section (B) of Korydornaya Cave and a sketch of the section along the northeast wall of the pit (C). The description of the lithologic layers: 1 — light-brown medium loam; 2 — brown-ochre heavy loam; 3 — brown heavy loam; 4 — yellow-brown clay; 5 — red crumbly clay, a lot of small well-rounded pebbles; 6 — cave deposits. Black circles indicate the places of fossil remains for which dating was obtained. Рис. 2. ПΛан (A) и разрез (B) пещеры КориΔорная и эскиз разреза по северо-восточной стенки шурфа (С). Описание ΛитоΛогических сΛоев: 1 — светΛо-бурый среΔний сугΛинок; 2 — буро-охристый тяжеΛый сугΛинок; 3 — бурый тяжеΛый сугΛинок; 4 — жеΛтобурая гΛина; 5 — красная рассыпчатая гΛина, много меΛкой хорошо окатанной гаΛьки, 6 — пещерные отΛожения. Черными кругами обозначены места нахоΔок ископаемых остатков, ΔΛя которых быΛи поΛучены Δатировки
Fig. 8 in New finds of the fossil genus representatives of Tonomochota Tiunov et Gusev, 2021 (Lagomorpha, Ochotonidae) in Korydornaya Cave (Jewish Autonomous Oblast, Far East of Russia)
Fig. 8. Vertical distribution of pica fossils in Korydornaya Cave. The layers correspond to the layers from the excavation section (Fig. 2C) Рис. 8. ВертикаΛьное распреΔеΛение ископаемых остатков пищуховых в пещере КориΔорная. СΛои соответствуют сΛоям из разреза раскопа (Рис. 2C)
Fig. 6 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 6. Tylototriton ziegleri larvae from Bao Lac district, Cao Bang Province with indication of the corresponding developmental stage and scale. Photographs of stages 27 to 36 are from preserved eggs photographed under a digital microscope (photos C. Michel) and photographs of stages 44 and 45 are from individuals in life kept at the Me Linh station (photos T. Ziegler).
Fig. 4 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 4. Drawing of a formol-preserved larva of Tylototriton ziegleri at stage 35. Drawing C. Michel.
Fig. 2 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 2. Percentage of the number of adults of Tylototriton vietnamensis and T. ziegleri found at each interval of percentage of canopy cover measured above the water of the breeding site.
Fig. 5 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 5. Metamorph of Tylototriton ziegleri at stage 44, with an additional finger on left hand, collected in Ha Giang Province in 2012 and preserved in ethanol. Photo M. Bernardes.
Fig. 1. A in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 1. A. Adult male of Tylototriton ziegleri; B. Habitat type in Bao Lac district, Cao Bang Province; C. Adult male of Tylototriton vietnamensis; D. Habitat type in Tay Yen Tu Nature Reserve, Bac Giang Province. Photos M. Bernardes.
Fig. 7 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 7. Dark and light phenotypic variations of Tylototriton vietnamensis found at the type locality. Photo M. Bernardes.
Fig. 3. A in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 3. A: Typical clutch of Tylototriton ziegleri composed by single eggs; B: an exceptional case of "stickiness" where eggs were aggregated in groups of 2–4. Photos M. Bernardes.
Fig. 2 Micromorphological differences between Drepanocladus longifolius and D in Do Antarctic populations represent local or widespread phylogenetic and ecological lineages? Complicated fate of bipolar moss concepts with Drepanocladus longifolius as a case study
Fig. 2 Micromorphological differences between Drepanocladus longifolius and D. capillifolius. Alar cells of D. longifolius a, b—from Lyall 47, Falkland Islands. Alar cells of D. capillifolius c―from Nelson 4262, USA, Wyoming (KRAM), d―from isolectotype of Hypnum capillifolium var. fallax Renauld, Canada, Quebec. Scale bar 100 μm
Fig. 1 in Do Antarctic populations represent local or widespread phylogenetic and ecological lineages? Complicated fate of bipolar moss concepts with Drepanocladus longifolius as a case study
Fig. 1 Geographical distribution of the studied accessions and detected genetic lineages corresponding to Drepanocladus longifolius (blue dots) and D. capillifolius (green triangles) according to present circumscription.
Fig. 2 Landmark templates for representative a lateral and b in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 2 Landmark templates for representative a lateral and b ventral standardised views. Filled circles show fixed landmarks. Empty circles show semilandmarks, processed as sliding landmarks
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 15. Input Sources of an Affective Neuro-Symbol Representing an Emotion
<p>Based on the descriptions given above and the concept of neuro-symbolic information<br> processing outlined in Section 4.2, so-called “affective neuro-symbols” were defined for the<br> affective situation assessment architecture (see Figure 15). These affective neuro-symbols can<br> principally receive information from four different sources: (1) body states, (2) objects and events<br> perceived in the environment (external perception), (3) from other emotions and (4) cognitive<br> (reasoning) processes. An input from one of these sources can in certain circumstances already be<br> sufficient to activate an affective neuro-symbol. Different sources can either have an exhibitory or<br> inhibitory effect on the activation of an affective neuro-symbol.</p>
BRAIN Journal-Suicide: Neurochemical Approaches-Figure 3. Representative gel electrophoreses showing the mRNA levels of BDNF, Trk B, NGF and Trk A
<p>Our present study, provides the evidence for the first time that two major neurotrophins<br> BDNF and NGF along with their cognitive TrkB and TrkA receptors are not only less expressed in<br> their protein levels but also their transcription levels are also compromised in postmortem brains of<br> suicide subjects as evident from the mRNA studies of the present experiment.</p>
BRAIN Journal-Suicide: Neurochemical Approaches-Figure 1. Representative bands of Western Blot showing the Protein levels of BDNF, Trk B, NGF and Trk A
<p>The molecular weights of BDNF, TrkB, NGF, TrkA and β-actin were 14 kDa, 145 kDa,<br> 13.5 kDa, 140 kDa and 46 kDa, respectively. The expression levels of BDNF, NGF, TrkB, and<br> TrkA proteins were normalized against the β-actin protein level, which was used as an internal<br> control. The results showed that the expression of BDNF, NGF, TrkB and TrkA in the hippocampus<br> decreased significantly in the suicide subjects when compared to the control subjects (P<0.05,<br> Figure 1).</p>
Figure 10.a. Simulation's display: The characters "\__/" represents the front part of the car that should pass through the string "....==..=.==..==" representing the range of obstacles-Designing a Growing Functional Modules "Artificial Brain"
<p>Once performed the design and configuration, the controller and the local application are<br> executed by pressing the corresponding button. In case of a local simulation, two terminal windows<br> are generated. The first one, localized on the left side of the screen (figure 10.a), displays the<br> behavior of the simulation; the second one, localized on the right side of the screen (figure 10.b),<br> displays the behavior of the controller. Both application run concurrently and their respective<br> contents allow the user to observe and monitor the control session. The last text line of figure 10.b<br> displays the set of commands at cycle 201.</p>
Figure 2. The mean results, representing the importance of online/blended course components, for all participants-How to Mix the Ingredients for a Blended Course Recipe
<p>Almost two thirds (62%) of the institutions provide access to Open Source LMSs, while only a<br> third use proprietary LMSs (such as AeL or Blackboard), and we can also note that almost half (43%)<br> of the participants are not even interested in proprietary LMSs. All these figures demonstrate once<br> again the openness of the Romanian educa-tional system towards online/blended learning and,<br> furthermore, towards Open Source or free solutions. Specific policies related to open/blended courses<br> and trainings for devel-oping such courses are offered only by a third of the institutions, thus the<br> education managers and policy makers should pay an increased attention to these issues.<br> The importance of course elements was assessed on a five-point Likert scale, where 1 means<br> “not at all important” and 5 means “very important”. Nineteen elements of an online course were<br> evaluated on this scale. The results synthesized in Figure 2 illustrate the importance of each element for<br> all participants in this study, regardless of their e-learning experience.</p>
New Ideas for Brain Modelling 4-Figure 4. LHS relates to neuron binding ensemble mass, with central column activated. RHS relates to hierarchy, with a direct mapping. The two red lines show where the ensemble is missing and so it needs to be learned. The blue lines show extra neurons from the hierarchy back to the ensemble, but can be removed as error. The other paired black squares represent where the patterns match and can oscillate together.
<p>This paper continues the research that considers a new cognitive model based strongly on the human brain, last updated in Greer (2016). In particular, it considers figure 4 of that paper (Figure below) and how it might be useful in practice. The paper also describes some new methods in the areas of image processing and behaviour simulation. The image processing introduces a most classical form of pattern cross-referencing, while the behaviour equations used feedback for a memory-type of cross-referencing. The work is all based on earlier research by the author and the new additions are intended to fit in with the overall design. For image processing, a grid-like structure is used with ‘full linking’, if you like. Each cell in the classifier grid stores a list of all other cells it gets associated with and this is used as the learned image that new input is compared with. For the behaviour metric, a new prediction equation is suggested, as part of a simulation, that uses feedback and history to dynamically determine its current state and course of action. While the new methods are from widely different topics, both can be compared with the binary-analog type of interface that is the main focus of the paper. Sensory input may be static and binary, but cross- references result in variable comparisons that make the input more dynamic. It is suggested that the simplest of linking between a tree and ensemble can explain neural binding and variable signal strengths.</p>
Where and how our brain represents the temporal structure of observed action
<p>Dataset includes resting state function and structural scans used in the paper with the same title.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.