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Gonçalo Lopes

Researcher at University College London

Publications -  40
Citations -  1677

Gonçalo Lopes is an academic researcher from University College London. The author has contributed to research in topics: Software & Visual programming language. The author has an hindex of 16, co-authored 36 publications receiving 1208 citations. Previous affiliations of Gonçalo Lopes include Universidade Nova de Lisboa & YDreams.

Papers
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Journal ArticleDOI

Bonsai: an event-based framework for processing and controlling data streams

TL;DR: Bonsai is described, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams and demonstrated how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience.
Journal ArticleDOI

Development of social behavior in young zebrafish

TL;DR: An assay is designed to determine at what stage of development zebrafish begin to interact with and prefer other fish, and social preference and coupled interactions are differentially modified by an NMDAR antagonist and acute exposure to ethanol, both of which are known to alter social behavior in adult zebra fish.
Journal ArticleDOI

Automated monitoring and quantitative analysis of feeding behaviour in Drosophila.

TL;DR: It is demonstrated that flies ingest food by rhythmically extending their proboscis with a frequency that is not modulated by the internal state of the animal, pointing to a common strategy in how the nervous systems of different animals control food intake.
Posted ContentDOI

Bonsai: An event-based framework for processing and controlling data streams

TL;DR: Bonsai is described, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams and demonstrated how it allows for flexible and rapid prototyping of integrated experimental designs in neuroscience.
Patent

Various methods and apparatuses for achieving augmented reality

TL;DR: In this article, a matching of the resolution of the image data and actual measured depth data as well as a linking formed between the image and depth data for each pixel representing the real-world object in the scene is described.