The Experts below are selected from a list of 47835 Experts worldwide ranked by ideXlab platform

Shaul Hochstein - One of the best experts on this subject based on the ideXlab platform.

  • Modeling behavior in different delay match to sample tasks in one simple network.
    Frontiers in Human Neuroscience, 2013
    Co-Authors: Yali Amit, Volodya Yakovlev, Shaul Hochstein
    Abstract:

    Delay match to sample (DMS) experiments provide an important link between the theory of recurrent network models and behavior and neural recordings. We define a simple recurrent network of binary neurons with stochastic neural dynamics and Hebbian synaptic learning. Most DMS experiments involve heavily learned images, and in this setting we propose a readout mechanism for match occurrence based on a smaller increment in overall network activity when the Matched Pattern is already in working memory, and a reset mechanism to clear memory from stimuli of previous trials using random network activity. Simulations show that this model accounts for a wide range of variations on the original DMS tasks, including ABBA tasks with distractors, and more general repetition detection tasks with both learned and novel images. The differences in network settings required for different tasks derive from easily defined changes in the levels of noise and inhibition. The same models can also explain experiments involving repetition detection with novel images, although in this case the readout mechanism for match is based on higher overall network activity. The models give rise to interesting predictions that may be tested in neural recordings.

Sangjin Hong - One of the best experts on this subject based on the ideXlab platform.

  • ICARCV - Map based indoor robot navigation and localization using laser range finder
    2010 11th International Conference on Control Automation Robotics & Vision, 2010
    Co-Authors: Shung Han Cho, Sangjin Hong
    Abstract:

    This paper presents a map based robot navigation and localization algorithm using laser range finder for indoor environments. A navigation path is given by the sequence of grids and global map information is represented by the list of vertexes. The grid based navigation facilities path planning as well as complements localization with priori information of the grid sequence. The Pattern of vertexes is represented by distance, adjacency, and slant among them for the comparison between map information and range data. A mobile robot is globally localized by finding the Matched Pattern between the set of vertexes from the map and the set of vertexes from the range data. The proposed method is verified with actual range data from laser range finder.

Yali Amit - One of the best experts on this subject based on the ideXlab platform.

  • Modeling behavior in different delay match to sample tasks in one simple network.
    Frontiers in Human Neuroscience, 2013
    Co-Authors: Yali Amit, Volodya Yakovlev, Shaul Hochstein
    Abstract:

    Delay match to sample (DMS) experiments provide an important link between the theory of recurrent network models and behavior and neural recordings. We define a simple recurrent network of binary neurons with stochastic neural dynamics and Hebbian synaptic learning. Most DMS experiments involve heavily learned images, and in this setting we propose a readout mechanism for match occurrence based on a smaller increment in overall network activity when the Matched Pattern is already in working memory, and a reset mechanism to clear memory from stimuli of previous trials using random network activity. Simulations show that this model accounts for a wide range of variations on the original DMS tasks, including ABBA tasks with distractors, and more general repetition detection tasks with both learned and novel images. The differences in network settings required for different tasks derive from easily defined changes in the levels of noise and inhibition. The same models can also explain experiments involving repetition detection with novel images, although in this case the readout mechanism for match is based on higher overall network activity. The models give rise to interesting predictions that may be tested in neural recordings.

Shung Han Cho - One of the best experts on this subject based on the ideXlab platform.

  • ICARCV - Map based indoor robot navigation and localization using laser range finder
    2010 11th International Conference on Control Automation Robotics & Vision, 2010
    Co-Authors: Shung Han Cho, Sangjin Hong
    Abstract:

    This paper presents a map based robot navigation and localization algorithm using laser range finder for indoor environments. A navigation path is given by the sequence of grids and global map information is represented by the list of vertexes. The grid based navigation facilities path planning as well as complements localization with priori information of the grid sequence. The Pattern of vertexes is represented by distance, adjacency, and slant among them for the comparison between map information and range data. A mobile robot is globally localized by finding the Matched Pattern between the set of vertexes from the map and the set of vertexes from the range data. The proposed method is verified with actual range data from laser range finder.

Silvana Borgognini M Tarli - One of the best experts on this subject based on the ideXlab platform.

  • short term benefits of play behavior and conflict prevention in pan paniscus
    International Journal of Primatology, 2006
    Co-Authors: Elisabetta Palagi, Tommaso Paoli, Silvana Borgognini M Tarli
    Abstract:

    Most theories on the function of play have focused on ultimate rather than proximate benefits. Play peaks during juvenility but, in some species, it is present in adulthood as well. In primates, social play and grooming often show a Matched Pattern because they bring individuals into close contact and favor social cohesion. In Pan, researchers have widely documented anticipation of competition at feeding time. Chimpanzees limit aggression over food by grooming (celebration), whereas bonobos use sociosexuality as a reassurance mechanism. We examined the function of play in the context of conflict prevention in the Apenheul bonobo colony. We analyzed the distribution of social play, grooming, and sexual contacts in periods around feeding and in a control condition. Adult-adult and adult-immature play frequencies were significantly higher during prefeeding than in any other condition, thus not supporting the commonly held view that social stress suppresses play. Further, there is a significant positive correlation between adult-adult play and rates of cofeeding. During feeding, adults engaged in their highest levels of sociosexual behaviors, whereas an increase in grooming rates occurred in prefeeding, though not significantly compared to the control rates. In conclusion, bonobos apparently cope with competition and social tension via 2 different mechanisms of conflict management: play to prevent tension, e.g., prefeeding, and sociosexual behaviors as appeasement and reassurance mechanisms once a tense situation emerges.