Now showing items 1-13 of 13

    • Adaptive Locomotor Behavior in Larval Zebrafish 

      Portugues, Ruben; Engert, Florian (Frontiers Media SA, 2011)
      In this study we report that larval zebrafish display adaptive locomotor output that can be driven by unexpected visual feedback. We develop a new assay that addresses visuomotor integration in restrained larval zebrafish. ...
    • Applying Learning Algorithms to Preference Elicitation 

      Lahaie, Sébastien M.; Parkes, David C. (Association for Computing Machinery, 2004)
      We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that learning algorithms can be used as a basis ...
    • Asking the Right Questions About Leadership: Discussion and Conclusions 

      Hackman, J.; Wageman, Ruth (American Psychological Association, 2007)
      Five questions prompted by the articles in the American Psychologist special issue on leadership (January 2007, Vol. 62, No. 1) suggest some new directions for leadership research: (1) Not do leaders make a difference, but ...
    • Consistency and Cautious Fictitious Play 

      Fudenberg, Drew; Levine, David (Elsevier, 1995)
      We study a variation of fictitious play, in which the probability of each action is an exponential function of that action's utility against the historical frequency of opponents' play. Regardless of the opponents' strategies, ...
    • Getting Better or Feeling Better? How Equity Investors Respond to Investment Experience 

      Campbell, John Y.; Ramadorai, Tarun; Ranish, Benjamin (National Bureau of Economic Research, 2014)
      Using a large representative sample of Indian retail equity investors, many of them new to the stock market, we show that both years of investment experience and feedback from investment returns have significant effects ...
    • Learning and Adaption in Multiagent Systems 

      Parkes, David C.; Ungar, Lyle H. (Association for the Advancement of Artificial Intelligence, 1997)
      The goal of a self-interested agent within a multiagent system is to maximize its utility over time. In a situation of strategic interdependence, where the actions of one agent may a ect the utilities of other agents, the ...
    • Mind wandering and education: from the classroom to online learning 

      Szpunar, Karl K.; Moulton, Samuel T.; Schacter, Daniel L. (Frontiers Media S.A., 2013)
      In recent years, cognitive and educational psychologists have become interested in applying principles of cognitive psychology to education. Here, we discuss the importance of understanding the nature and occurrence of ...
    • On Waves, Clusters, and Diffusion: A Conceptual Framework 

      Elkins, Zachary; Simmons, Beth (SAGE Publications, 2005)
      This article makes a conceptual and theoretical contribution to the study of diffusion. The authors suggest that the concept of diffusion be reserved for processes (not outcomes) characterized by a certain uncoordinated ...
    • Opposite initialization to novel cues in dopamine signaling in ventral and posterior striatum in mice 

      Menegas, William; Babayan, Benedicte M; Uchida, Naoshige; Watabe-Uchida, Mitsuko (eLife Sciences Publications, Ltd, 2017)
      Dopamine neurons are thought to encode novelty in addition to reward prediction error (the discrepancy between actual and predicted values). In this study, we compared dopamine activity across the striatum using fiber ...
    • A parametric study of fear generalization to faces and non-face objects: relationship to discrimination thresholds 

      Holt, Daphne J.; Boeke, Emily A.; Wolthusen, Rick P. F.; Nasr, Shahin; Milad, Mohammed R.; Tootell, Roger B. H. (Frontiers Media S.A., 2014)
      Fear generalization is the production of fear responses to a stimulus that is similar—but not identical—to a threatening stimulus. Although prior studies have found that fear generalization magnitudes are qualitatively ...
    • Recency, Records and Recaps: Learning and Non-Equilibrium Behavior in a Simple Decision Problem 

      Fudenberg, Drew; Peysakhovich, Alexander (Association for Computing Machinery, 2014)
      Nash equilibrium takes optimization as a primitive, but suboptimal behavior can persist in simple stochastic decision problems. This has motivated the development of other equilibrium concepts such as cursed equilibrium ...
    • Training Restricted Boltzmann Machines on Word Observations 

      Dahl, George E.; Adams, Ryan Prescott; Larochelle, Hugo (International Machine Learning Society, 2012)
      The restricted Boltzmann machine (RBM) is a flexible tool for modeling complex data, however there have been significant computational difficulties in using RBMs to model high-dimensional multinomial observations. In natural ...
    • Valproate reopens critical-period learning of absolute pitch 

      Gervain, Judit; Vines, Bradley W.; Chen, Lawrence M.; Seo, Rubo J.; Hensch, Takao K.; Werker, Janet F.; Young, Allan H. (Frontiers Media S.A., 2013)
      Absolute pitch, the ability to identify or produce the pitch of a sound without a reference point, has a critical period, i.e., it can only be acquired early in life. However, research has shown that histone-deacetylase ...