2009/04/06 by Fabien Alibart, S. Pleutin, Alibart, F. +7
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced biosensing and bioanalysis techniques #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Neurons and Cognition (q-bio.NC) #Quantum-Dot Cellular Automata
paper · pdf · doi:10.48550/arxiv.0904.0884
openalex publication_date 2009/04/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Molecule-based devices are envisioned to complement silicon devices by providing new functions or already existing functions at a simpler process level and at a lower cost by virtue of their self-organization capabilities, moreover, they are not bound to von Neuman architecture and this may open the way to other architectural paradigms. Here we demonstrate a device made of conjugated molecules and metal nanoparticles (NPs) which behaves as a spiking synapse suitable for integration in neural network architectures. We demonstrate that this device exhibits the main behavior of a biological synapse. These results open the way to rate coding utilization of the NOMFET in perceptron and Hopfield networks. We can also envision the NOMFET as a building block of neuroelectronics for interfacing neurons or neuronal logic devices made from patterned neuronal cultures with solid-state devices and circuits.