Organic log-domain integrator synapse
arXiv:2203.12552 · doi:10.1002/aelm.202100724
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.
arXiv commentAccepted by Advanced Electronic Materials (18 pages, 17 figures)
References in corpus (4)
- A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
- Neuromorphic electronic circuits for building autonomous cognitive systems
- An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
- A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems