A compact nanoscale device emulating the functionality of biological synapses is an essential element for neuromorphic systems. Here we present for the first time a synapse based on a single ferroelectric FET (FeFET) integrated in a 28nm HKMG technology, having hafnium oxide as the ferroelectric and a resistive element in series. The gradual and non-volatile ferroelectric switching is exploited to mimic the synaptic weight. We demonstrate both the spike-timing dependent plasticity (STDP) and the signal transmission and discuss the effect of the spike properties and circuit design on STDP
Neuromorphic computing is a computing architecture that mimics biological neural systems. Successful...
Neuromorphic computing that mimics the biological brain has been demonstrated as a next-generation c...
International audienceThe last few decades have witnessed the rapid development of electronic comput...
Artificial synapses based on ferroelectric Schottky barrier field-effect transistors (FE-SBFETs) are...
In this paper, artificial synapses based on four terminal ferroelectric Schottky barrier field effec...
Neuromorphic computing is a promising alternative to conventional computing systems as it could enab...
Ohmic, memristive synaptic weights are fabricated with a back-end-of-line compatible process, based ...
Ohmic, memristive synaptic weights are fabricated with a back-end-of-line compatible process, based ...
Due to the voltage driven switching at low voltages combined with nonvolatility of the achieved pola...
Neuron is the basic computing unit in brain-inspired neural networks. Although a multitude of excell...
Ohmic, memristive synaptic weights are fabricated with a back-end-of-line compatible process, based ...
An artificial synaptic element consisting of a three terminal Ferroelectric Field-Effect Transistor ...
Neuromorphic computing is a promising alternative to conventional computing systems as it could enab...
A ferroelectric thin‐film transistor (FeTFT)‐based synaptic device with an indium–gallium–zinc oxide...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Neuromorphic computing is a computing architecture that mimics biological neural systems. Successful...
Neuromorphic computing that mimics the biological brain has been demonstrated as a next-generation c...
International audienceThe last few decades have witnessed the rapid development of electronic comput...
Artificial synapses based on ferroelectric Schottky barrier field-effect transistors (FE-SBFETs) are...
In this paper, artificial synapses based on four terminal ferroelectric Schottky barrier field effec...
Neuromorphic computing is a promising alternative to conventional computing systems as it could enab...
Ohmic, memristive synaptic weights are fabricated with a back-end-of-line compatible process, based ...
Ohmic, memristive synaptic weights are fabricated with a back-end-of-line compatible process, based ...
Due to the voltage driven switching at low voltages combined with nonvolatility of the achieved pola...
Neuron is the basic computing unit in brain-inspired neural networks. Although a multitude of excell...
Ohmic, memristive synaptic weights are fabricated with a back-end-of-line compatible process, based ...
An artificial synaptic element consisting of a three terminal Ferroelectric Field-Effect Transistor ...
Neuromorphic computing is a promising alternative to conventional computing systems as it could enab...
A ferroelectric thin‐film transistor (FeTFT)‐based synaptic device with an indium–gallium–zinc oxide...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Neuromorphic computing is a computing architecture that mimics biological neural systems. Successful...
Neuromorphic computing that mimics the biological brain has been demonstrated as a next-generation c...
International audienceThe last few decades have witnessed the rapid development of electronic comput...