@article{Reber2014,
  author    = {Reber, Elisabeth},
  title     = {Constructing evidence at Prime Minister's Question Time: An analysis of the grammar, semantics and pragmatics of the verb see},
  series = {Intercultural Pragmatics},
  volume    = {11},
  journal   = {Intercultural Pragmatics},
  number    = {3},
  issn      = {1613-365X},
  doi       = {10.1515/ip-2014-0017},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-195549},
  pages     = {357 -- 387},
  year      = {2014},
  abstract  = {Abstract Constructing evidence constitutes a practice to establish the speaker's authority at Prime Minister's Question Time (PMQT), a weekly half-hour session in the British House of Commons. Here the verb see constitutes a resource for both the questioning Leader of the Opposition (LO) and Members of Parliament (MP) as well as for the responding Prime Minister (PM) to claim first-hand perceptual experience. This paper takes an integrated approach, offering a combined analysis of the grammatical formatting, semantics and pragmatics of the verb see in the context of evidential moves at PMQT. It shows how the verb see is functional in referring to the perceptual basis of a claim made and how its grammatical formatting is reflective of the contingencies of the local interactional context. The analysis is grounded in 32 sessions of PMQT (ca. 16 hrs of video-recordings). The results can be summarised as follows: 1) The evidential function of the verb is achieved through its context-specific grammatical formatting and semantics. 2) The reference to the perceptual basis of a claim evoked by see may co-occur with epistemic qualification and evaluative expressions. 3) The formatting of the verb may be indexical of the political relationship between the questioner and the responding PM.},
  language  = {en}
}
@article{EhrenfeldHerbortButz2013,
  author    = {Ehrenfeld, Stephan and Herbort, Oliver and Butz, Martin V.},
  title     = {Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference},
  series = {Frontiers in Computational Neuroscience},
  volume    = {7},
  journal   = {Frontiers in Computational Neuroscience},
  number    = {148},
  doi       = {10.3389/fncom.2013.00148},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-122253},
  year      = {2013},
  abstract  = {This paper addresses the question of how the brain maintains a probabilistic body state estimate over time from a modeling perspective. The neural Modular Modality Frame (nMMF) model simulates such a body state estimation process by continuously integrating redundant, multimodal body state information sources. The body state estimate itself is distributed over separate, but bidirectionally interacting modules. nMMF compares the incoming sensory and present body state information across the interacting modules and fuses the information sources accordingly. At the same time, nMMF enforces body state estimation consistency across the modules. nMMF is able to detect conflicting sensory information and to consequently decrease the influence of implausible sensor sources on the fly. In contrast to the previously published Modular Modality Frame (MMF) model, nMMF offers a biologically plausible neural implementation based on distributed, probabilistic population codes. Besides its neural plausibility, the neural encoding has the advantage of enabling (a) additional probabilistic information flow across the separate body state estimation modules and (b) the representation of arbitrary probability distributions of a body state. The results show that the neural estimates can detect and decrease the impact of false sensory information, can propagate conflicting information across modules, and can improve overall estimation accuracy due to additional module interactions. Even bodily illusions, such as the rubber hand illusion, can be simulated with nMMF. We conclude with an outlook on the potential of modeling human data and of invoking goal-directed behavioral control.},
  language  = {en}
}