Nonlinear Behavior of Dendritic Polymer Networks for Reservoir Computing

Abstract

silicon-based semiconductor technology, enormous progress has been made with the development of spiking neural network architectures (SpiNNaker). [2] However, emulating intelligence with conventional computers requires massive resources as they rely on the von Neumann architecture in which data storage and processing are physically separated, and hence, carried sequentially.

Photopatternable solid electrolyte for integrable organic electrochemical transistors: operation and hysteresis

“…OECTs and OMIECs cover thereby a broad range from biosensing, 5,6 to local computing, 7,8 and on-chip data classification, due to their intrinsic synaptic functionalities. 9–11 Moreover, traditional circuitry can be implemented using OECTs. For example, inkjet printing of OECTs has been successfully used to fabricate integrated device structures for digital circuitry 12,13 as well as low-cost shift registers and binary-coded decimal decoders.…”

“…Furthermore, the electrolyte inherently creates unwanted crosstalk between different devices on the same substrate. Although such global gate configuration can be harnessed for unconventional computing and electronics, 9,11,17 it is a hurdle for digital integrated circuits (ICs).…”

Growth and design strategies of organic dendritic networks

“…Here, the stochastic nature of the process can harm the stability of inorganic devices, like in the case of batteries [15], but it is especially useful for the fabrication of devices where non-linearity, stability in wet environment, and ease of processing are required, such as artificial synapses or organic electrochemical transistors (OECTs). Interesting demonstrations of synaptic processes 1 3 such as Pavlovian conditioning [5,16] and nonlinear dynamics [17] that can be exploited for machine learning brought forth this in operando polymerization technique. Although the process is simple and fast, having precise control over the reaction dynamics and the polymerization direction is often hard: unraveling the details of the physical processes that control the growth is key for large-scale electronic implementation.…”

Membrane-Free, Selective Ion Sensing by Combining Organic Electrochemical Transistors and Impedance Analysis of Ionic Diffusion

“…The latter have recently been in the spotlight of research − because of their use in bioelectronics and neuromorphic computing, , superior mechanical properties, and excellent performance measures in ion sensitivity . Furthermore, such materials are potentially biocompatible, allowing for the integration of ion sensors into biological systems to promptly detect imbalances of ions that regulate chemical and biological processes.…”

“…2 Several materials have been employed for ion-selective electrodes such as carbon allotropes (graphene 3 or carbon nanotubes 4 ), metallic nanoparticles, 5 metal alloys, 6 or semiconducting polymers. 7 The latter have recently been in the spotlight of research 7−11 because of their use in bioelectronics 12 and neuromorphic computing, 13,14 superior mechanical properties, and excellent performance measures in ion sensitivity. 15 Furthermore, such materials are potentially biocompatible, allowing for the integration of ion sensors into biological systems to promptly detect imbalances of ions that regulate chemical and biological processes.…”