Extended Data Fig. 8: Mechanistic model for loss of line attractor dynamics in unreceptive states.
From: Encoding of female mating dynamics by a hypothalamic line attractor
a, Schematic illustrating the construction of a spiking recurrent neural network (RNN) with a line attractor. The line attractor is created by allowing a subset of neurons to possess a larger intrinsic time constant (20 s vs 100 ms), and by denser connectivity within the subnetwork (12% versus 1% in remaining network). b, Model simulation during the proestrus phase with pulse like input delivered at 10 s ISI. Right, activity of integration subnetwork (green) and other neurons (red). c, Schematic for hypothesis 1: we hypothesize that during non-proestrus, there is a reduction in the intrinsic constant of the integration subnetwork (from 20 s to 100 ms). d, Same as b but for hypothesis 1 during non-proestrus. e, Schematic for hypothesis 2: we test whether changes in the firing rate of different neuronal subsets can lead to the loss of attractor dynamics. To investigate this, we provide the integration subnetwork with 50% reduced input strength, while increasing the same for the remaining neurons. f, Same as b but for hypothesis 2 during non-proestrus.
