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  1. 4 Απρ 2016 · Example: If you turn on the Bluetooth on your phone, it often states it is discoverable and then it will list a number of devices around you. The Master device then will initiate a connection by paging a specific Slave device. If the Slave device is amenable, it will respond with a Page response.

  2. The pairing process for 4.0 and 4.1 devices, also known as LE Legacy Pairing, uses a custom key exchange protocol unique to the BLE standard. In this setup, the devices exchange a Temporary Key (TK) and use it to create a Short Term Key (STK) which is used to encrypt the connection.

  3. 17 Απρ 2024 · Represents a physical Bluetooth (not specifically BLE) device that the app can connect to, bond (pair) with, or both. This class provides key information, including the device name, if it’s available, its MAC address, and its current bond state.

  4. 17 Φεβ 2016 · Pairing: Devices that are initially connected can exchange encryption keys and encrypt the link. When they have, the link is secure and they are paired. Bonding: Paired devices can be bonded. This means that they store the keys that have already been exchanged when they paired and use those again the next time they connect.

  5. 4 Αυγ 2020 · Here I review what is known about behavioral synchrony with respect to pair bonding and discuss using synchrony as such a variable as well as a framework to expand on our understanding of pair bonding across timescales, contexts and species.

  6. 1 Νοε 2021 · Pair bonding is a key behavioral concept that has been well studied in behavioral neuroendocrinology, with many studies focused in one key species, the prairie vole (Microtus ochrogaster). These studies are foundational to our understanding of both the neural and hormonal basis of pair bonding.

  7. A neurobiological model for pair-bond formation has emerged from studies in monogamous rodents. The neuropeptides oxytocin and vasopressin contribute to the processing of social cues necessary for individual recognition. Mesolimbic dopamine is involved in reinforcement and reward learning.

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