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A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways

Title: A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways
Authors: Matrone, Giovanni Maria; van Doremaele, Eveline R.W.; Surendran, Abhijith; Laswick, Zachary; Griggs, Sophie; Ye, Gang; McCulloch, Iain; Santoro, Francesca; Rivnay, Jonathan; van de Burgt, Yoeri
Contributors: Chemistry; Chemical Science Program; KAUST Solar Center; KAUST Solar Center (KSC); Physical Sciences and Engineering; Physical Science and Engineering (PSE) Division; Microsystems, Institute for Complex Molecular Systems, Eindhoven University of Technology, 5612AJ, Eindhoven, The Netherlands; Department of Biomedical Engineering, Northwestern University, 60208, Evanston, IL, USA; Department of Chemistry, Chemistry Research Laboratory, University of Oxford, OX1 3TA, Oxford, UK; Center for Biomedical Optics and Photonics (CBOP) & College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems, Shenzhen University, 518060, Shenzhen, PR China; Tissue Electronics, Istituto Italiano di Tecnologia, 80125, Naples, Italy; Institute of Biological Information Processing IBI-3 Bioelectronics, Forschungszentrum Juelich, 52428, Juelich, Germany; Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT, RWTH Aachen, 52074, Aachen, Germany
Publisher Information: Springer Science and Business Media LLC
Publication Year: 2024
Collection: King Abdullah University of Science and Technology: KAUST Repository
Description: Signal communication mechanisms within the human body rely on the transmission and modulation of action potentials. Replicating the interdependent functions of receptors, neurons and synapses with organic artificial neurons and biohybrid synapses is an essential first step towards merging neuromorphic circuits and biological systems, crucial for computing at the biological interface. However, most organic neuromorphic systems are based on simple circuits which exhibit limited adaptability to both external and internal biological cues, and are restricted to emulate only specific the functions of an individual neuron/synapse. Here, we present a modular neuromorphic system which combines organic spiking neurons and biohybrid synapses to replicate a neural pathway. The spiking neuron mimics the sensory coding function of afferent neurons from light stimuli, while the neuromodulatory activity of interneurons is emulated by neurotransmitters-mediated biohybrid synapses. Combining these functions, we create a modular connection between multiple neurons to establish a pre-processing retinal pathway primitive. ; E.R.W.D. and Y.v.d.B. acknowledge financial support from The European Union’s Horizon 2020 Research and Innovation Programme, grant agreement no. 802615. This research was funded in part, by the European Union’s Horizon 2020 research and innovation programme under grant agreement n°952911, project BOOSTER, grant agreement n°862474, project RoLA-FLEX and grant agreement n°101007084 CITYSOLAR, as well as EPSRC Project EP/T026219/1 EP/W017091/1. We gratefully acknowledge Alberto Salleo as a source of inspiration for the spiking circuit approach. The authors thank Bastiaan de Jong and Lucio Cinà of Cicci Research who helped with the design and implementation of the the custom post processing code for the Arkeo platform.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: unknown
ISSN: 2041-1723
Relation: https://www.nature.com/articles/s41467-024-47226-3; 2-s2.0-85189511308; Nature Communications; http://hdl.handle.net/10754/697988; 15
DOI: 10.1038/s41467-024-47226-3
Availability: http://hdl.handle.net/10754/697988; https://doi.org/10.1038/s41467-024-47226-3
Rights: Archived with thanks to Nature Communications under a Creative Commons license, details at: https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0
Accession Number: edsbas.7005AFE
Database: BASE