High performance ambipolar organic mixed ionic-electronic conductor for adaptive logic circuits and neuromorphic electronics

Organic mixed ionic-electronic conductors (OMIECs) are central to bioelectronic applications such as biosensors, health monitoring devices and neural interfaces, and have facilitated efficient next-generation brain-inspired computing and biohybrid systems. Most OMIECs are hole-conducting (p-type) materials, while complimentary logic circuits and various biosensors require electron-conducting (n-type) materials too. Here we show an ambipolar mixed ionic-electronic polymer that achieves high on/off ratios with high ambient p- and n- type stability. We highlight the versatility of the material by demonstrating its use as a neuromorphic memory element, an adaptable ambipolar complementary logic inverter, and a neurotransmitter sensor. The ambipolar operation of this material allows for straightforward monolithic fabrication and integration, and opens a route towards more sophisticated complex logic and adaptive circuits.

MODELING OF BASIC STATION SERVICE AREA OF WIRELESS ACCESS NETWORK

The purpose of the work consists in the model development of basic station service area in the wireless wideband access network unambiguously connecting information reception quality with spatial-energetic characteristics of radio-signals. The investigation method is a simulation. There is presented a mathematical apparatus allowing the fulfillment of the service area estimation of a basic station at data rate control at the expense of the use of adaptive circuits of modulation and enciphering with the fulfillment of requirements to service quality on the basis of initial data on parameters of the equipment used and conditions of its application. A service area model allows estimating quantitatively a basic station range at different data rates and the fulfillment of service quality requirements for different conditions of wireless access network functioning. With the aid of the model offered it is also possible to define power parameters of wireless access equipment required for the fulfillment of the specified values of service quality on the service area required.

A module for Rac temporal signal integration revealed with optogenetics

Sensory systems use adaptation to measure changes in signaling inputs rather than absolute levels of signaling inputs. Adaptation enables eukaryotic cells to directionally migrate over a large dynamic range of chemoattractant. Because of complex feedback interactions and redundancy, it has been difficult to define the portion or portions of eukaryotic chemotactic signaling networks that generate adaptation and identify the regulators of this process. In this study, we use a combination of optogenetic intracellular inputs, CRISPR-based knockouts, and pharmacological perturbations to probe the basis of neutrophil adaptation. We find that persistent, optogenetically driven phosphatidylinositol (3,4,5)-trisphosphate (PIP3) production results in only transient activation of Rac, a hallmark feature of adaptive circuits. We further identify the guanine nucleotide exchange factor P-Rex1 as the primary PIP3-stimulated Rac activator, whereas actin polymerization and the GTPase-activating protein ArhGAP15 are essential for proper Rac turnoff. This circuit is masked by feedback and redundancy when chemoattractant is used as the input, highlighting the value of probing signaling networks at intermediate nodes to deconvolve complex signaling cascades.