Andreas Hoenselaar

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Understanding the mechanisms of learning requires characterizing how the response properties of individual neurons and interactions across populations of neurons change over time. To study learning in vivo, we need the ability to track an electrophysiological signature that uniquely identifies each recorded neuron for extended periods of time. We have(More)
The forced swimming test of rats or mice is a frequently used behavioral test to evaluate compounds for antidepressant activity in vivo. The aim of this study was to replace the human observer, needed to score and analyze the behavior of animals, by a fully automated method. For this purpose, in a first step from a video recording of each rat, an activity(More)
The rise of big data in modern research poses serious challenges for data management: Large and intricate datasets from diverse instrumentation must be precisely aligned, annotated , and processed in a variety of ways to extract new insights. While high levels of data integrity are expected, research teams have diverse backgrounds, are geographically(More)
This paper gives a constructive proof for the existence of correlated equi-libria in multi-player games and shows how elements of the proof can be used for the computation of correlated equilibria in polynomial time for an important subset of succinct games. None of this work is novel, it merely aims at a more detailed and approachable description of the(More)
As the sole author of this thesis, I authorize Brown University to lend it to other institutions or individuals for the purpose of scholarly research. I further authorize Brown University to reproduce this thesis by photocopying or other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research.(More)
Logothetis NK. Recording chronically from the same neurons in awake, behaving primates.ing the mechanisms of learning requires characterizing how the response properties of individual neurons and interactions across populations of neurons change over time. To study learning in vivo, we need the ability to track an electrophysiological signature that(More)
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