Fig. 7 | Nature Communications

Fig. 7

From: A hierarchical anti-Hebbian network model for the formation of spatial cells in three-dimensional space

Fig. 7The alternative text for this image may have been generated using AI.

Emergence of 3D border and 2D plane cells. ad 3D rate maps of four LAHN neurons that show affinity towards the 3D borders or walls of the box. Each 3D border cell has its own preferred border (either single or double preferred borders) to fire akin to the 2D border cells in the rodents. Border score (BS) (average of top two BS) of each neuron is shown near to each box. e, f (Left) Raw data (movement trajectories in gray and action potentials in red) of three neurons that activate predominantly on a 2D plane in 3D space, that is, they are coding for a lower-dimensional subspace and hence termed as plane cells. (Right) 3D plane fitted to each plane cell firing field to quantify their planeness in terms of the R2 value of the fitted plane. g (Left) Raw data (movement trajectories in gray and action potentials in red) of a neuron showing activity on multiple 2D planes and termed as stack cells. (Right) Two 3D planes fitted to the upper and lower firing fields. R2 value of each plane is shown near to the box

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