Organic log-domain integrator synapse

TL;DR

This paper introduces a flexible, organic log-domain integrator synapse circuit that mimics biological synaptic behavior with tunable, biologically plausible time constants, suitable for brain-inspired applications.

Contribution

The development of a biocompatible, flexible organic synapse circuit with adjustable time constants and tunable gain for neuromorphic systems.

Findings

Time constant of 126 ms before bending

Time constant of 221 ms during bending

Effect of voltage, capacitance, and signal disparity on time constant

Abstract

Synapses play a critical role in memory, learning, and cognition. Their main functions include converting pre-synaptic voltage spikes to post-synaptic currents, as well as scaling the input signal. Several brain-inspired architectures have been proposed to emulate the behavior of biological synapses. While these are useful to explore the properties of nervous systems, the challenge of making biocompatible and flexible circuits with biologically plausible time constants and tunable gain remains. Here, a physically flexible organic log-domain integrator synaptic circuit is shown to address this challenge. In particular, the circuit is fabricated using organic-based materials that are electrically active, offer flexibility and biocompatibility, as well as time constants (critical in learning neural codes and encoding spatiotemporal patterns) that are biologically plausible. Using a 10 nF synaptic capacitor, the time constant reached 126 ms and 221 ms before and during bending, respectively. The flexible synaptic circuit is characterized before and during bending, followed by studies on the effects of weighting voltage, synaptic capacitance, and disparity in pre-synaptic signals on the time constant.