Results 61 to 70 of about 19,662,716 (202)

A neuromorphic system for video object recognition [PDF]

Frontiers in Computational Neuroscience, 2014
Automated video object recognition is a topic of emerging importance in both defense and civilian applications. This work describes an accurate and low-power neuromorphic architecture and system for real-time automated video object recognition. Our system, Neuormorphic Visual Understanding of Scenes (NEOVUS), is inspired by computational neuroscience ...
Khosla, Deepak, Chen, Yang, Kim, Kyungnam   +2 more
openaire   +4 more sources

Research on neuromorphic vision sensor and its applications

物联网学报, 2019
Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,
Yongsheng SANG, Renhao LI, Yaoqian LI, Qiangwei WANG, Yao MAO   +4 more
doaj   +2 more sources

An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot

Frontiers in Neuroscience, 2020
In this work, we present a neuromorphic architecture for head pose estimation and scene representation for the humanoid iCub robot. The spiking neuronal network is fully realized in Intel's neuromorphic research chip, Loihi, and precisely integrates the ...
Raphaela Kreiser, Alpha Renner, Vanessa R. C. Leite, Baris Serhan, Chiara Bartolozzi, Arren Glover, Yulia Sandamirskaya   +6 more
doaj   +1 more source

Quantized Weight Transfer Method Using Spike-Timing-Dependent Plasticity for Hardware Spiking Neural Network

Applied Sciences, 2021
A hardware-based spiking neural network (SNN) has attracted many researcher’s attention due to its energy-efficiency. When implementing the hardware-based SNN, offline training is most commonly used by which trained weights by a software-based artificial
Sungmin Hwang, Hyungjin Kim, Byung-Gook Park   +2 more
doaj   +1 more source

Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose

Advanced Science, 2022
A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T‐neuron) made of a metal‐oxide‐semiconductor field‐effect ...
Joon‐Kyu Han, Mingu Kang, Jaeseok Jeong, Incheol Cho, Ji‐Man Yu, Kuk‐Jin Yoon, Inkyu Park, Yang‐Kyu Choi   +7 more
doaj   +1 more source

Emerging Neuromorphic Devices-Compatible SNN Hardware With Adaptive STDP and Validation Using Novel CMOS Neuron-Synapse Circuits

IEEE Access
This study proposes a neuromorphic hardware system based on a spiking neural network (SNN). The circuit-level adaptability of the system enables the integration of diverse emerging neuromorphic neuron and synaptic devices into a single system.
Min Jee Kim, Hyung-Min Lee, Yeonjoo Jeong, Joon Young Kwak   +3 more
doaj   +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

Generative Data for Neuromorphic Computing [PDF]

Neuromorphic computing is a next-generation model of computation that leverages biologically-inspired artificial neurons to perform complex tasks. Unlike neurons found within traditional Artificial Neural Networks (ANNs), which output on a continuous ...
Bihl, Trevor, Baietto, Anthony
core   +1 more source

Neuromorphic Electronic Systems for Reservoir Computing [PDF]

, 2021
This chapter provides a comprehensive survey of the researches and motivations for hardware implementation of reservoir computing (RC) on neuromorphic electronic systems. Due to its computational efficiency and the fact that training amounts to a simple linear regression, both spiking and non-spiking implementations of reservoir computing on ...
openaire   +3 more sources

Improved Resistive and Synaptic Characteristics in Neuromorphic Systems Achieved Using the Double-Forming Process

Nanomaterials, 2023
In this study, we investigate the electrical properties of ITO/ZrOx/TaN RRAM devices for neuromorphic computing applications. The thickness and material composition of the device are analyzed using transmission electron microscopy.
Minkang Kim, Dongyeol Ju, Myounggon Kang, Sungjun Kim   +3 more
doaj   +1 more source