Integration of Organic Artificial Neurons in Control Systems

Emulating neurons with biocompatible hardware allows machines to more efficiently interact with the human nervous system and vice versa. Recent advancements (Ref. [1,2,3]) utilizing organic electrochemical transistors have enabled the emulation of neuronal activity, facilitating interactions with nerves in living animals. While significant progress has been made in generating biorealistic action potentials, in-system usage of the complex response characteristics of organic artificial neurons (OAN) in remain largely uncovered. We present possible integrations of OAN into control operations and create usable models in Verilog-A and spice for explorative simulations. We foresee our efforts contributing to insights into the usability of neuronal complexity for adapative control.

References
1. Harikesh, P. C. et al. Ion-tunable antiambipolarity in mixed
ion–electron conducting polymers enables biorealistic organic
electrochemical neurons. Nat. Mater. 22, 242–248 (2023).

2. Sarkar, T. et al. An organic artificial spiking neuron for in situ
neuromorphic sensing and biointerfacing. Nat. Electron. 5,
774–783 (2022).

3. Matrone, G.M., van Doremaele, E.R.W., Surendran, A. et al. A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways. Nat Commun 15, 2868 (2024).