Skip to main content
[Preprint]. 2023 Apr 4:2023.04.04.535512. [Version 1] doi: 10.1101/2023.04.04.535512

Fig 8. Untrained RNNs can also be used to estimate value.

Fig 8.

a. Time-varying activations of 20 example units in response to an odor input, in an untrained RNN (“ESN”) with 50 units, initialized with a gain of 0.1. b. Same as panel a, but for an initialization gain of 1.9, and a wider range shown on the x-axis. c. Number of time steps it took each ESN’s activity to return to its fixed point following an odor observation (“odor memory”; see Materials and Methods), as a function of ESN initialization gain. Points labeled “>200” indicate those that did not fit within the plot. d. RPE MSE (see Fig 3D) as a function of ESN initialization gain, after training each ESN’s value weights to estimate value during Task 2. Dashed line indicates average levels of a Task 2 Value RNN with the same number of units. e. Belief R2 (see Fig 4B) as a function of ESN initialization gain. Same conventions as panel d.