Results 81 to 90 of about 22,264 (276)

Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing

Advanced Functional Materials, EarlyView.
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki, In Cheol Kwak, Seonkwon Kim, Jihyun Kim, Dong Gue Roe, Se‐Jin Kim, Joohoon Kang, Jeong Ho Cho   +7 more
wiley   +1 more source

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines

, 2017
Information in neural networks is represented as weighted connections, or synapses, between neurons. This poses a problem as the primary computational bottleneck for neural networks is the vector-matrix multiply when inputs are multiplied by the neural ...
Aimone, James B., Carlson, Kristofor D., Donaldson, Jonathon, Follett, David R., Follett, Pamela L., Hill, Aaron J., James, Conrad D., Naegle, John H., Smith, Michael R., Vineyard, Craig M.   +9 more
core   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

NbO₂-Based Frequency Storable Coupled Oscillators for Associative Memory Application

IEEE Journal of the Electron Devices Society, 2018
Oscillatory neural networks with nano-oscillators and synapse devices are a promising alternative to implement neuromorphic systems owing to its fast recognition speed and low power consumption.
Donguk Lee, Euijun Cha, Jaehyuk Park, Changhyuck Sung, Kibong Moon, Solomon Amsalu Chekol, Hyunsang Hwang   +6 more
doaj   +1 more source

Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks

, 2019
Deep Neural Networks (DNNs) have gained immense success in cognitive applications and greatly pushed today's artificial intelligence forward. The biggest challenge in executing DNNs is their extremely data-extensive computations. The computing efficiency
Liu, C., Liu, Fuqiang
core   +1 more source

Benchmarking neuromorphic systems with Nengo.

Frontiers in neuroscience, 2015
Nengo is a software package for designing and simulating large-scale neural models. Nengo is architected such that the same Nengo model can be simulated on any of several Nengo backends with few to no modifications. Backends translate a model to specific platforms, which include GPUs and neuromorphic hardware.
Bekolay, Trevor, Stewart, Terrence C., Eliasmith, Chris   +2 more
openaire   +3 more sources

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

NeuroPong: the event-based camera driven embedded neuromorphic system

Neuromorphic Computing and Engineering
Neuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchronous ...
Charles P Rizzo, Bryson Gullett, Alex M Crumley, Maxwell E Marcum, Mason R Hyman, Carter Earheart-Brown, Julia Steed, Frank Standaert, Catherine D Schuman, James S Plank   +9 more
doaj   +1 more source

Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors

, 2014
Despite all the progress of semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex makes the hardware implementation of neuromorphic networks with a comparable number of devices exceptionally challenging.
Adam, Gina, Hoskins, Brian, Likharev, Konstantin K., Merrikh-Bayat, Farnood, Prezioso, Mirko, Strukov, Dmitri B.   +5 more
core   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

Advanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske, Yaşar Krysiak, Hans Tornatzky, Markus R. Wagner, Sebastian Polarz   +4 more
wiley   +1 more source