Low voltage and time constant organic synapse-transistor

Abstract

Abstract.We report on an artificial synapse, an organic synapse-transistor (synapstor) working at 1 volt and with a typical response time in the range 100-200 ms. This device (also called NOMFET, Nanoparticle Organic Memory Field Effect Transistor) combines a memory and a transistor effect in a single device. We demonstrate that short-term plasticity (STP), a typical synaptic behavior, is observed when stimulating the device with input spikes of 1 volt. Both significant facilitating and depressing behaviors of this artificial synapse are observed with a relative amplitude of about 50% and a dynamic response < 200 ms. From a series of in-situ experiments, i.e. measuring the current-voltage characteristic curves in-situ and in real time, during the growth of the pentacene over a network of gold nanoparticles, we elucidate these results by analyzing the relationship between the organic film morphology and the transport properties. This synapstor works at a low energy of about 2 nJ/spike. We discuss the implications of these results for the development of neuro-inspired computing architectures and interfacing with biological neurons.

Biological Spiking Synapse Constructed from Solution Processed Bimetal Core–Shell Nanoparticle Based Composites

“…The energy consumption can be extracted from the equation d E = V × I × d t , where V , I , t are the pulse amplitude, postsynaptic current, and pulse duration, respectively. The energy consumption of a single spike event of this work ( V = 5 V, I = 1.2 × 10 −6 A, t = 0.01 s) can be estimated to be 60 nJ, which is comparable to some reported results . The energy consumption for an individual device would decrease to 6 pJ if 500 nm technology is adopted.…”

A Dual‐Organic‐Transistor‐Based Tactile‐Perception System with Signal‐Processing Functionality

“…Many artificial synaptic devices, which are bionic signal‐processing elements, have been explored by using both two‐terminal memristors and three‐terminal transistors . Take a two‐terminal memristor for example, the conductance of several inorganic devices can be incrementally adjusted by modulating the charge or flux through it to perform as an artificial synaptic element .…”

“…Short‐term synaptic plasticity (STP), including facilitation and depression, refers to the change in strength of a synapse's response to external stimuli over a time range of milliseconds to a few minutes . It allows the critical information‐processing functions in neural circuits to build the foundations of learning and memory.…”

Parameter Exploration to Improve Performance of Memristor-Based Neuromorphic Architectures

“…By using nonvolatile memory, we can guarantee to store the last synaptic weight which is necessary for network training but the synapse can not forget. To be able to have a synapse which is able to forget, scientists used a volatile memory cell [50], [51]. We have proposed in [21] to combined both kinds of memories in order to improve the learning capabilities of the network.…”