Vectorial representation of spatial goals in the hippocampus of bats

By Ayelet Sarel, Arseny Finkelstein, Liora Las, Nachum Ulanovsky. Science, 2017

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How researchers see this paper

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Learning Structures: Predictive Representations, Replay, and Generalization (2020, background): “Counter to a merely Euclidean representation, it has been shown that place field representations are path-dependent [10] and skew asymmetrically toward goal locations [11], and sequential trajectories to goal locations twist around obstacles [10,12 ,13,14].”
The content of hippocampal “replay” (2018, background): “Sarel et al. recently reported that hippocampal neurons in bats can specifically encode the distance and direction to a goal (Sarel et al., 2017).”
A dedicated population for reward coding in the hippocampus (2018, unknown): “Perhaps the cells with the most similar properties to rewardassociated cells are the ‘‘goal-distance cells’’ recently reported in bats (Sarel et al., 2017).”