A perovskite retinomorphic sensor
@article{TrujilloHerrera2020APR, title={A perovskite retinomorphic sensor}, author={Cinthya Trujillo Herrera and John G. Labram}, journal={Applied Physics Letters}, year={2020}, volume={117}, pages={233501} }
Designed to outperform conventional computers when performing machine-learning tasks, neuromorphic computation is the principle whereby certain aspects of the human brain are replicated in hardware. While great progress has been made in this field in recent years, almost all input signals provided to neuromorphic processors are still designed for traditional (von Neumann) computer architectures. Here, we show that a simple photosensitive capacitor will inherently reproduce certain aspects of…
6 Citations
Quantifying the performance of perovskite retinomorphic sensors
- BiologyJournal of Physics D: Applied Physics
- 2021
From a simple relationship between output voltage and optical power density in response to a step-change in illumination intensity, a parameter Λ is derived, which can serve as a proxy for PRS performance.
All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition
- Computer ScienceNature Nanotechnology
- 2021
A retina-inspired two-dimensional material based retinomorphic device exhibits all-in-one perception, memory and computing capabilities for motion detection and recognition for moving trolleys.
HSMD: An Object Motion Detection Algorithm Using a Hybrid Spiking Neural Network Architecture
- Computer ScienceIEEE Access
- 2021
The Hybrid Sensitive Motion Detector (HSMD) proposed in this work enhances the GSOC dynamic background subtraction (DBS) algorithm with a customised 3-layer spiking neural network (SNN) that outputs spiking responses akin to the OMS-GC.
A density functional theory study of the structural, electronic, and optical properties of XGaO3 (X = V, Nb) perovskites for optoelectronic applications
- Materials Science
- 2021
An ab initio study using density functional theory (DFT) is carried out to explore the structural, electronic, and optical properties of vanadium gallate (VGaO3) and niobium gallate (NbGaO3). The…
References
SHOWING 1-10 OF 58 REFERENCES
A silicon retina that reproduces signals in the optic nerve.
- BiologyJournal of neural engineering
- 2006
An artificial retina, constructed in silicon using single-transistor synaptic primitives, with two forms of locally controlled adaptation: luminance adaptation and contrast gain control, which is the first to reproduce the responses of the four major ganglion cell types that drive visual cortex.
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
- Computer ScienceIEEE Micro
- 2018
Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon, and can solve LASSO optimization problems with over three orders of magnitude superior energy-delay-product compared to conventional solvers running on a CPU iso-process/voltage/area.
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
- Computer ScienceMaterials
- 2019
Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding. Recently, several…
Stochastic phase-change neurons.
- BiologyNature nanotechnology
- 2016
This work shows that chalcogenide-based phase-change materials can be used to create an artificial neuron in which the membrane potential is represented by the phase configuration of the nanoscale phase- change device and shows that the temporal integration of postsynaptic potentials can be achieved on a nanosecond timescale.
Organic electronics for neuromorphic computing
- Computer ScienceNature Electronics
- 2018
This Review Article examines the development of organic neuromorphic devices, considering the different switching mechanisms used in the devices and the challenges the field faces in delivering neuromorphic computing applications.
Towards spike-based machine intelligence with neuromorphic computing
- Computer ScienceNature
- 2019
An overview of the developments in neuromorphic computing for both algorithms and hardware is provided and the fundamentals of learning and hardware frameworks are highlighted, with emphasis on algorithm–hardware codesign.
A million spiking-neuron integrated circuit with a scalable communication network and interface
- Computer ScienceScience
- 2014
Inspired by the brain’s structure, an efficient, scalable, and flexible non–von Neumann architecture is developed that leverages contemporary silicon technology and is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification.
Neuromorphic electronic systems
- Computer Science
- 1990
It is shown that for many problems, particularly those in which the input data are ill-conditioned and the computation can be specified in a relative manner, biological solutions are many orders of…
Habituation based synaptic plasticity and organismic learning in a quantum perovskite
- BiologyNature Communications
- 2017
The discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization is reported, and adaptive synaptic plasticity in SmNiO3perovskites is demonstrated to address catastrophic forgetting in a dynamic learning environment via hydrogen-induced electron localization.