61 research outputs found
Differentiated audio-tactile correspondences in sighted and blind individuals
The aim of the present study is to investigate whether the crossmodal correspondence robustly documented between auditory pitch and visual elevation has analogues in the audio-tactile domain. Across 4 experiments, the compatibility effects between intuitively congruent pairs of stimuli (i.e., outward tactile movement, going from the inside of the finger toward the fingertip and increasing pitch, or inward tactile movement and decreasing pitch) and incongruent pairs stimuli (i.e., the reverse associations) were measured. Two methods were compared to assess the behavioral effects of such a correspondence: One where participants have to respond to either the auditory or tactile stimulus presented simultaneously, while ignoring the other (speeded classification task), and the other where the auditory and tactile stimuli are presented sequentially and associated to different response buttons (implicit association test). No significant compatibility effect was observed under the speeded classification task. The implicit association test revealed a significant compatibility effect. This effect was similar in the conditions where the finger was placed vertically and horizontally. However, this implicit association between pitch and tactile movements was not observed in blind participants. These results have methodological implications for the explanation and testing of crossmodal correspondences, and the origin of the widely discussed association between pitch and vertical elevation
On the construction of the inclusion boundary neighbourhood for markov equivalence classes of bayesian network structures
peer reviewedThe problem of learning Markov equivalence classes of Bayesian network structures may be solved by searching for the maximum of a scoring metric in a space of these classes. This paper deals with the definition and analysis of one such search space. We use a theoretically motivated neighbourhood, the inclusion boundary, and represent equivalence classes by essential graphs. We show that this search space is connected and that the score of the neighbours can be evaluated incrementally. We devise a practical way of building this neighbourhood for an essential graph that is purely graphical and does not explicitely refer to the underlying independences. We find that its size can be intractable, depending on the complexity of the essential graph of the equivalence class. The emphasis is put on the potential use of this space with greedy hillclimbing search
Estimation paramétrique multirésolution de mouvements transparents
- Nous présentons une nouvelle méthode permettant d'estimer les mouvements dans des images avec transparence. Il s'agit d'une estimation par blocs basée sur une minimisation multirésolution. Elle est initialisée par la technique du downhill simplex. Un post-traitement original, effectuant des estimations séparées des mouvements sur des différences d'images recalées de manière appropriée, améliore la qualité des mouvements estimés. L'algorithme se conclut par une étape de régularisation. Nous démontrons sur un grand nombre de simulations réalistes que nous atteignons une précision d'un quart de pixel sur des images non bruitées. Le cas des images bruitées est étudié, avec des résultats satisfaisants sur des images cliniques peu contrastées. Nous présentons également une expérimentation sur des images cliniques réelles
Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users
While most task-oriented dialogues assume conversations between the agent and
one user at a time, dialogue systems are increasingly expected to communicate
with multiple users simultaneously who make decisions collaboratively. To
facilitate development of such systems, we release the Multi-User MultiWOZ
dataset: task-oriented dialogues among two users and one agent. To collect this
dataset, each user utterance from MultiWOZ 2.2 was replaced with a small chat
between two users that is semantically and pragmatically consistent with the
original user utterance, thus resulting in the same dialogue state and system
response. These dialogues reflect interesting dynamics of collaborative
decision-making in task-oriented scenarios, e.g., social chatter and
deliberation. Supported by this data, we propose the novel task of multi-user
contextual query rewriting: to rewrite a task-oriented chat between two users
as a concise task-oriented query that retains only task-relevant information
and that is directly consumable by the dialogue system. We demonstrate that in
multi-user dialogues, using predicted rewrites substantially improves dialogue
state tracking without modifying existing dialogue systems that are trained for
single-user dialogues. Further, this method surpasses training a medium-sized
model directly on multi-user dialogues and generalizes to unseen domains.Comment: To Appear in EMNLP-Findings 202
Studies of braided non-Abelian anyons using anyonic tensor networks
The content of this thesis can be broadly summarised into two categories:
first, I constructed modified numerical algorithms based on tensor networks to
simulate systems of anyons in low dimensions, and second, I used those methods
to study the topological phases the anyons form when they braid around one
another. In the first phase of my thesis, I extended the anyonic tensor network
algorithms, by incorporating U(1) symmetry to give a modified ansatz,
Anyon-U(1) tensor networks, which are capable of simulating anyonic systems at
any rational filling fraction. In the second phase, I used the numerical
methods to study some models of non-Abelian anyons that naturally allows for
exchange of anyons. I proposed a lattice model of anyons, which I dubbed
anyonic Hubbard model, which is a pair of coupled chains of anyons (or simply
called anyonic ladder). Each site of the ladder can either host a single
anyonic charge, or it can be empty. The anyons are able to move around,
interact with one another, and exchange positions with other anyons, when
vacancies exist. Exchange of anyons is a non-trivial process which may
influence the formation of different kinds of new phases of matter. I studied
this model using the two prominent species of anyons: Fibonacci and Ising
anyons, and made a number of interesting discoveries about their phase
diagrams. I identified new phases of matter arising from both the interaction
between these anyons and their exchange braid statistics.Comment: 150 pages, PhD thesis, Macquarie University, Sydney. Chapter 6 of
this thesis titled "Phase transitions in braided non-Abelian anyonic system"
contains results which are yet to be finalised and publishe
Learning new sensorimotor contingencies:Effects of long-term use of sensory augmentation on the brain and conscious perception
Theories of embodied cognition propose that perception is shaped by sensory stimuli and by the actions of the organism. Following sensorimotor contingency theory, the mastery of lawful relations between own behavior and resulting changes in sensory signals, called sensorimotor contingencies, is constitutive of conscious perception. Sensorimotor contingency theory predicts that, after training, knowledge relating to new sensorimotor contingencies develops, leading to changes in the activation of sensorimotor systems, and concomitant changes in perception. In the present study, we spell out this hypothesis in detail and investigate whether it is possible to learn new sensorimotor contingencies by sensory augmentation. Specifically, we designed an fMRI compatible sensory augmentation device, the feelSpace belt, which gives orientation information about the direction of magnetic north via vibrotactile stimulation on the waist of participants. In a longitudinal study, participants trained with this belt for seven weeks in natural environment. Our EEG results indicate that training with the belt leads to changes in sleep architecture early in the training phase, compatible with the consolidation of procedural learning as well as increased sensorimotor processing and motor programming. The fMRI results suggest that training entails activity in sensory as well as higher motor centers and brain areas known to be involved in navigation. These neural changes are accompanied with changes in how space and the belt signal are perceived, as well as with increased trust in navigational ability. Thus, our data on physiological processes and subjective experiences are compatible with the hypothesis that new sensorimotor contingencies can be acquired using sensory augmentation
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