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. 2015 May 22;9:51. doi: 10.3389/fncom.2015.00051

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Copyright © 2015 Schönfeld and Wiskott.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Screenshots of our software tool. (A) Rendered overview of a simulated square environment featuring a white cue card and the position of the virtual animal marked by a black arrow. (B) Exemplary image frame produced by the software; a sequence of such 320 by 40 pixel frames is used to train our network. (C) Trajectory of a virtual rat running for 10 simulated minutes within a circular environment. (D) Trajectory of a real rat exploring a circular environment of the same radius for 10 min of real time. Note that the virtual agent runs at a constant speed of 20 cm/s and does not slow down or stop as real rats do. Thus, simulated rats tend to cover more ground than their real-life counterparts in the same amount of time.