We have developed a capacitor-less I&F neuron circuit with a dual gate positive feedback fieldeffect transistor (FBFET) and successfully co-integrated FBFET and CMOS in a wafer. By implementing the neuron circuit with FBFET, we can overcome the limits of conventional CMOS, reduce energy consumption, and imitate the biological neuron. The floating body of the FBFET can replace the membrane capacitor that occupies a large area and performs leaky integration of the neuron. Due to the extremely low sub-threshold swing of the FBFET (less than 0.528mv/dc), energy consumption of the neuron is significantly reduced by suppressing sub-threshold current. Finally, we analyzed the fabricated neuron circuit operation, retention time of the integr...
International audienceIn a context of the end of Moore's law, energy dissipation constitutes a real ...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The...
Recently, research on artificial neuron circuits imitating biological systems has been actively stud...
Hardware-based spiking neural networks (SNNs) to mimic biological neurons have been reported. Howeve...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted s...
International audienceCMOS neuron circuits used to implement neuromorphic chips require extensive ci...
Hardware-based spiking neural networks (SNNs) to mimic biological neurons have been reported. Howeve...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
To process data operations more efficiently in deep neural networks (DNNs), studies on spiking neura...
Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks...
International audienceWe introduce an ultra-compact electronic circuit that realizes the leaky-integ...
Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks...
International audienceIn a context of the end of Moore's law, energy dissipation constitutes a real ...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The...
Recently, research on artificial neuron circuits imitating biological systems has been actively stud...
Hardware-based spiking neural networks (SNNs) to mimic biological neurons have been reported. Howeve...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted s...
International audienceCMOS neuron circuits used to implement neuromorphic chips require extensive ci...
Hardware-based spiking neural networks (SNNs) to mimic biological neurons have been reported. Howeve...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
To process data operations more efficiently in deep neural networks (DNNs), studies on spiking neura...
Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks...
International audienceWe introduce an ultra-compact electronic circuit that realizes the leaky-integ...
Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks...
International audienceIn a context of the end of Moore's law, energy dissipation constitutes a real ...
Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing intere...
An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The...