Cargando…

ReplaceNet: real-time replacement of a biological neural circuit with a hardware-assisted spiking neural network

Recent developments in artificial neural networks and their learning algorithms have enabled new research directions in computer vision, language modeling, and neuroscience. Among various neural network algorithms, spiking neural networks (SNNs) are well-suited for understanding the behavior of biol...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hwang, Sangwoo, Hwang, Yujin, Kim, Duhee, Lee, Junhee, Choe, Han Kyoung, Lee, Junghyup, Kang, Hongki, Kung, Jaeha
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448768/ https://www.ncbi.nlm.nih.gov/pubmed/37638314 http://dx.doi.org/10.3389/fnins.2023.1161592

Ejemplares similares

An Efficient Hardware Circuit for Spike Sorting Based on Competitive Learning Networks
por: Chen, Huan-Yuan, et al.
Publicado: (2017)

Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural Networks
por: Nallathambi, Abinand, et al.
Publicado: (2021)

Comparison of Artificial and Spiking Neural Networks on Digital Hardware
por: Davidson, Simon, et al.
Publicado: (2021)

Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks
por: Luo, Yuling, et al.
Publicado: (2018)

Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
por: Camuñas-Mesa, Luis A., et al.
Publicado: (2019)

Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics
por: Steffen, Lea, et al.
Publicado: (2021)

Brain-inspired neural circuit evolution for spiking neural networks
por: Shen, Guobin, et al.
Publicado: (2023)

Classification of multivariate data with a spiking neural network on neuromorphic hardware
por: Schmuker, Michael, et al.
Publicado: (2013)

Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI
por: Xiao, Chao, et al.
Publicado: (2022)

Efficient Architecture for Spike Sorting in Reconfigurable Hardware
por: Hwang, Wen-Jyi, et al.
Publicado: (2013)

Case Study—Spiking Neural Network Hardware System for Structural Health Monitoring
por: Pang, Lili, et al.
Publicado: (2020)

An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation
por: Shaban, Ahmed, et al.
Publicado: (2021)

Astrocytic Regulation of Neural Circuits Underlying Behaviors
por: Hwang, Sun-Nyoung, et al.
Publicado: (2021)

The Effects of Leptin Replacement on Neural Plasticity
por: Paz-Filho, Gilberto J.
Publicado: (2016)

Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators Using Time Compression Supporting Multiple Spike Codes
por: Xu, Changqing, et al.
Publicado: (2020)

Brian2GeNN: accelerating spiking neural network simulations with graphics hardware
por: Stimberg, Marcel, et al.
Publicado: (2020)

A Scatter-and-Gather Spiking Convolutional Neural Network on a Reconfigurable Neuromorphic Hardware
por: Zou, Chenglong, et al.
Publicado: (2021)

Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets
por: Lee, Jeongjun, et al.
Publicado: (2020)

Estimating receptive fields and spike-processing neural circuits in Drosophila
por: Lazar, Aurel A, et al.
Publicado: (2012)

MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning
por: Kim, Daehyun, et al.
Publicado: (2022)

Global inhibition in head-direction neural circuits: a systematic comparison between connectome-based spiking neural circuit models
por: Chang, Ning, et al.
Publicado: (2023)

Hardware and software tools for neural networks
por: Treleaven, P C
Publicado: (1990)

Parallelization of Neural Processing on Neuromorphic Hardware
por: Peres, Luca, et al.
Publicado: (2022)

T-RexNet—A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects
por: Canepa, Alessio, et al.
Publicado: (2021)

Contextual behavior and neural circuits
por: Lee, Inah, et al.
Publicado: (2013)

Streaming Batch Eigenupdates for Hardware Neural Networks
por: Hoskins, Brian D., et al.
Publicado: (2019)

Enabling Training of Neural Networks on Noisy Hardware
por: Gokmen, Tayfun
Publicado: (2021)

Hardware Implementation of Differential Oscillatory Neural Networks Using VO( 2)-Based Oscillators and Memristor-Bridge Circuits
por: Shamsi, Jafar, et al.
Publicado: (2021)

Neural Networks for Modeling Neural Spiking in S1 Cortex
por: Lucas, Alice, et al.
Publicado: (2019)

mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications
por: Lee, Dongkyu, et al.
Publicado: (2020)

‘EngNT’ — Engineering live neural tissue for nerve replacement
por: Phillips, James B.
Publicado: (2021)

Spike timing jitter is beneficial in neural spike coding - A case of the mammalian MSO sound localization circuit
por: Marsalek, Petr
Publicado: (2011)

Spike timing jitter is beneficial in neural spike coding - a case of the mammalian MSO sound localization circuit
por: Marsalek, Petr
Publicado: (2011)

Impact of the Sub-Resting Membrane Potential on Accurate Inference in Spiking Neural Networks
por: Hwang, Sungmin, et al.
Publicado: (2020)

Learning and executing goal-directed choices by internally generated sequences in spiking neural circuits
por: Palmer, John, et al.
Publicado: (2017)

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
por: Hazan, Hananel, et al.
Publicado: (2018)

Review of hardware neural networks: a user's perspective
por: Lindsey, C S, et al.
Publicado: (1995)

Status of neural network hardware in high energy physics
por: Denby, B
Publicado: (2001)

Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware
por: Sim, Hyeonuk, et al.
Publicado: (2020)

Neural circuits: Japan
por: Kawaguchi, Yasuo, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_q5gidgle25189advqbslhldo6m