Organic neuromorphic devices

The neuro-inspired paradigm of information processing at the hardware-based level is commonly termed as neuromorphic computing. In our group, we develop organic neuromorphic devices based on electrochemical concepts. These are low-power consumption devices, have the ability to operate in electrolytes, support the transport of various ionic and molecular species and exhibit spatiotemporal response. Due to these features, organic neuromorphic devices are able to capture more precisely the biological phenomena and to enhance biophysical realism in devices. By leveraging these features, we develop a variety of neuromorphic aspects of processing including short- and long-term synaptic plasticity phenomena, spatiotemporal processing functions. Next to that, organic devices based on electrochemical concepts have been traditionally used in bioelectronics. Merging the fields of neuromorphics and bioelectronics will potentially lead in novel computational paradigms at the interface between electronics and biology.

 

References

T. Sarkar, K. Lieberth, A. Pavlou, T. Frank, V. Mailaender, I. McCulloch, P. W. M. Blom, F. Torricelli, P. Gkoupidenis, An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing, Nat. Electron. (2022).

R. Nawrocki, M. Parker, P. Gkoupidenis, Artificial neurons emulate biological counterparts to enable synergetic operation, Nat. Electr. Research Briefing (2022).

B. Jeong, P. Gkoupidenis, K. Asadi, Solution-processed perovskite field-effect transistor artificial synapses, Adv. Mater. 2104034 (2021).

H. Ling, D. Koutsouras, S. Kazemzadeh, Y. van de Burgt, F. Yan, P. Gkoupidenis, Electrolyte-gated transistors for synaptic electronics, neuromorphic computing and adaptable biointerfacing, Appl. Phys. Rev. 7, 011307 (2020).

M. H. Amiri, J. Heidler, K. Müllen, P. Gkoupidenis, K. Asadi, Designing multi‐Level resistance states in graphene ferroelectric transistors, Adv. Funct. Mater. 30, 34, 2003085 (2020).

P. Gkoupidenis, D. A. Koutsouras, G. G. Malliaras, Neuromorphic Device Architectures with Global Connectivity through Electrolyte Gating, Nat. Comm. 8, 15448 (2017).

P. Gkoupidenis, D.A. Koutsouras, T. Lonjaret, J. A. Fairfield, G. G. Malliaras, Orientation Selectivity in a Multi-gated Organic Electrochemical Transistor, Sci. Rep. 6, 27007 (2016).

P. Gkoupidenis, N. Schaefer, X. Strakosas, J. A. Fairfield, G. G. Malliaras, Synaptic Plasticity Functions in an Organic Electrochemical Transistor, Appl. Phys. Lett. 107, 263302 (2015).

P. Gkoupidenis, N. Schaefer, B. Garlan, G. G. Malliaras, Neuromorphic Functions in PEDOT:PSS Organic Electrochemical Transistors, Adv. Mater. 27, 7176 (2015).

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