Figure 2 (IMAGE)

Tohoku University

Figure 2

Caption

Example of time-series learning using physical reservoir computing with cultured neurons. A 30-second-period sine wave was provided as the target signal. In the absence of input, the BNN exhibits high-dimensional, complex activity; with FORCE learning and feedback, the activity becomes structured and reproduces the target waveform. Under suitable conditions, the network continues to autonomously generate trained signals even after the learning is stopped.

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Yuki Sono et al.

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