Apex Network Download ~UPD~
Mayme Cahee
By default, the ability to interact with network services is disabled in Oracle Database 11g Release 2 or later. Therefore, if you are running Oracle APEX with Oracle Database 11g Release 2 or later, you must use the new DBMS_NETWORK_ACL_ADMIN package to grant connect privileges to any host for the APEX_220100 database user. Failing to grant these privileges results in issues with:
Automated analysis designed to prevent SSL/TLS certificate expirations and insecure sessions from going unnoticed. Provides security and network engineers with real-time analysis, reporting, and notifications, keeping teams one step ahead of certificate expirations. Allows for easy identification of servers publishing insecure sessions. Enables teams to swiftly retire outdated or insecure protocols, improving the overall security posture. Identifying and remediating certificate-related issues, helps to prevent potential outages and ensure a seamless user experience.
Purpose-built dashboards combined with highly efficient workflows provide actionable insights for global, site-specific, and single-call UC visibility. Interactive Call Details visualizations show the paths calls take through the network infrastructure, pinpointing exactly where and why quality degradation occurs. One-click access to relevant packet data is also provided, ensuring VoIP and UC experts have all the information they need to monitor call quality and perform efficient troubleshooting.
On-demand application dependency mapping offers fast discovery of app interdependencies. Maps are built automatically to display complex relationships with simple clarity. This allows users to determine worst connections, app tiers, and network delay threshold deviations, while sorting all connections by status; critical, marginal, and acceptable.
By compiling Layer 2 to Layer 3 insights into a single enriched flow record, Observer can produce unique, interactive visualizations that illustrate the relationships between User, IP, MAC, and application usage in the network. A NetOps or SecOps user can simply enter a name enter in a username and immediately find all devices, interfaces, and applications associated with it. Finding out what is connected and who is communicating across your network has never been easier.
Gaining in-depth insights into network traffic can be challenging. The added visibility provided by DPI allows network engineers to easily identify traffic running on non-standard ports, recognize and classify various traffic types, and take a deeper look into protocols like HTTP and HTTPS.
Observer Apex collects and aggregates data from Observer GigaStor, Observer GigaStor M, Observer GigaFlow to achieve enterprise-wide network observabilityand security visibility for NetOps and SecOps teams. By intelligently combining packet information, metadata, and enriched flow records, Apex delivers centralized management of end-user experience scoring, performance, and cybersecurity intelligence.
What is the cognitive and neural architecture of core reasoning systems for understanding people and places? In this talk, we will outline a novel theoretical framework, arguing that internal models of people and places are implemented by two systems that are separate but parallel, both in cognitive structure and neural machinery. Both of these systems are anatomically positioned at the apex of the cortical hierarchy, and both interact closely with the medial temporal lobe declarative memory system, to update models of specific familiar people and places based on experience. Next, we test foundational predictions of this framework with a human fMRI experiment. Participants were scanned on tasks involving visual perception, semantic judgment, and episodic simulation of close familiar people and places. Across the three tasks, conditions involving familiar people and places elicited responses in distinct but parallel networks of association cortex, including zones within medial prefrontal cortex, medial parietal cortex, and the temporo-parietal junction. Lastly, we address the question of how these systems emerged in evolution. By assessing fMRI responses in nonhuman primates viewing images of familiar and unfamiliar animals and objects, we identify subregions of medial prefrontal cortex with a similar profile of functional response and anatomical organization to human social reasoning areas. These results indicate that the cognitive and neural architecture supporting human social understanding may have emerged by a modification of existing cortical systems for spatial cognition and long-term memory.
Networks of widely distributed regions populate human association cortex. One network, often called the default network, is positioned at the apex of a gradient of sequential networks that radiate outward from primary cortex. Here, extensive anatomical data made available through the Marmoset Brain Architecture Project are explored to show a homologue exists in marmoset. Results reveal that a gradient of networks extend outward from primary cortex to progressively higher-order transmodal association cortex in both frontal and temporal cortex. The apex transmodal network comprises frontopolar and rostral temporal association cortex, parahippocampal areas TH / TF, the ventral posterior midline, and lateral parietal association cortex. The positioning of this network in the gradient and its composition of areas make it a candidate homologue to the human default network. That the marmoset, a physiologically- and genetically-accessible primate, might possess a default-network-like candidate creates opportunities for study of higher cognitive and social functions.
The common marmoset, Callithrix jacchus, is a small New World primate that is increasingly being chosen as a model system for neuropsychiatric illness and studies of higher cognitive and social functions1,2,3,4,5,6. Of particular interest, marmosets possess a frontopolar granular area 10 sharing properties with the large-brained New World and Old World monkeys7,8,9,10,11 as well as the human12,13. Area 10 falls at the rostral apex of prefrontal cortex and is implicated in advanced forms of planning, abstract reasoning, and handling multiple competing task demands14,15,16. Area 10, particularly its medial extent, is a consistent node in the human default network17 raising the possibility of a homologous network in the marmoset.
Human association cortex is populated by a series of large-scale networks20,21. Multiple separable networks include canonical sensory-motor networks through to the widely distributed association networks. In terms of spatial topology, these networks form an orderly progression that radiates outwards from sensory cortex to transmodal association cortex22,23,24. A first open question is whether the marmoset possesses a macroscale organization similar to the human.
Situated at the farthest end of the macroscale sequence of networks in the human is the transmodal default network22,23. The default network behaves in peculiar ways as compared to other well-studied cortical networks. In particular, the default network increases activity when attention to the external environment is relaxed and internal, constructive modes of cognition emerge17,25,26. It is also active during directed tasks involving remembering and social inferences drawing a great deal of interest27. A second open question is whether the marmoset possesses an apex transmodal network with homology to the human default network.
The human default network comprises widely distributed regions, including (I) medial prefrontal cortex extending from the frontal pole to the anterior cingulate, (II) precuneus, posterior cingulate and retrosplenial cortex, (III) a caudal region of the inferior parietal lobule, (IV) temporal association cortex extending into the temporal pole, and (V) parahippocampal cortex17,28,29. At a coarse scale, the five highlighted zones are repeatedly identified in analyses of human neuroimaging data and can serve as an anchor for identifying a candidate homolog, specifically the network recently labeled default network-A23,30. Default network-A is distinguished from the spatially adjacent default network-B by strong correlation with parahippocampal and retrosplenial cortex. Moreover, there is evidence in the macaque for homology17,31,32,33,34.
In the present paper, extensive tract tracing data from the Marmoset Brain Architecture Project are combined to explore (1) whether there is a macroscale gradient of multiple networks in the marmoset that progresses from sensory zones to an apex transmodal network and (2) whether the apex transmodal network has properties to suggest provisional homology with the human default network. We discover that the marmoset possesses an apex transmodal network that has many parallels with the human default network.
The sequential pairings of frontal and posterior cortical injections suggest multiple distinct potentially parallel networks (Figs. 1 and 2). These multiple networks are spatially near to one another along a caudal to rostral sequence in frontal cortex.
Aggregate analysis of anatomical connectivity reveals a macroscale organization of networks. Each row displays a candidate network that is based on a frontal injection (left column), replication of the frontal injection (middle column), and corroboration of the network using a posterior injection (right column). Flat map format from Fig. 1. These displayed networks represent a partial subset of possible networks that could be plotted and do not reflect the full complexity of the projection patterns. Nonetheless, they reveal a sequence by which progressively more distributed networks populate the cortex as one goes from primary motor cortex (A4ab) through to frontopolar A10. In each map, the tracer injection is shown with a red dot (all retrograde). Injection cases are labeled in the bottom right as annotated in the Marmoset Brain Architecture Project archive
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