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NTTは、東京大学と共同で神経細胞の発火信号（スパイク） ... 光を用いたスパイキングニューラルネットワーク ...
YouTube-NTT official channel
2022/06/20Have you ever wonder how SNNs work and their difference from traditional neural networks? Or how SNNs play an important role in computing ...
YouTube-Machine Learning and Data Analytics at EEE NTU
2022/03/01Dr. Jason Eshraghian's (https://www.jasoneshraghian.com/) talk on Training Spiking Neural Networks on August 27, 2021. Jason Eshraghian is a ...
YouTube-iCAS Lab
2021/08/30動画の見どころ1/10枚目 Intro
動画の見どころ2/10枚目 Spikes and Action Potentials
動画の見どころ3/10枚目 Advantages of Dynamic Vision Sensors
動画の見どころ4/10枚目 Rate Codes and Temporal Codes
動画の見どころ5/10枚目 Rate Coding Example
動画の見どころ6/10枚目 Artificial Emulations of Neuron Responses
動画の見どころ7/10枚目 Mean-Squared Error Counts Loss
動画の見どころ8/10枚目 Spike operators
動画の見どころ9/10枚目 Experimental Results
動画の見どころ10/10枚目 Conclusion
Lecture 1. Remote Lecture on design and FPGA implementation of a spiking neural network (SNN). Project page with access to the remote lab: ...
YouTube-Marco Winzker
2023/01/03ESWEEK 2021 - Education Class C1, Sunday, October 10, 2021 Instructor: Priyadarshini Panda, Yale Abstract: Spiking Neural Networks (SNNs) ...
YouTube-Embedded Systems Week (ESWEEK)
2021/11/03動画の見どころ1/7枚目 Neural Networks: Different Levels of Bio-fidelity
動画の見どころ2/7枚目 Coding Techniques
動画の見どころ3/7枚目 Neuron and Synaptic Models: STDP (local) Learning
動画の見どころ4/7枚目 Can we utilize temporal property to do something more?
動画の見どころ5/7枚目 Neuron Models for ANN to SNN Conversion
動画の見どころ6/7枚目 How to select the right threshold?
動画の見どころ7/7枚目 ANN to SNN Conversion Results
Spiking neural networks (SNNs) have received little attention from the AI community, although they compute in a fundamentally different ...
YouTube-WaterlooAI
2020/01/31動画の見どころ1/10枚目 Opening Remarks
動画の見どころ2/10枚目 Neuromorphic Hardware
動画の見どころ3/10枚目 Low-Pass Filtering
動画の見どころ4/10枚目 When will we see a commercial neuromorphic chip?
動画の見どころ5/10枚目 Avoiding Poor TOPS/Watt
動画の見どころ6/10枚目 Adaptive Controllers
動画の見どころ7/10枚目 Partial Approximants
動画の見どころ8/10枚目 Applying LM-U to Recurrent Neural Networks
動画の見どころ9/10枚目 What is the trade-off between accuracy and power?
動画の見どころ10/10枚目 What is a Latent Basis
Great presentation. I hope even without covid restrictions, presentations like this keep on being created and posted for everyone to see :).
YouTube-Neural Reckoning
2022/03/14動画の見どころ1/10枚目 Intro
動画の見どころ2/10枚目 Learning with SNNs
動画の見どころ3/10枚目 Advantages of computation with SNNs
動画の見どころ4/10枚目 Implementation Details
動画の見どころ5/10枚目 2D Leaky Integrate-Fire Model
動画の見どころ6/10枚目 Sub-threshold Adaptation
動画の見どころ7/10枚目 What role do bursts play?
動画の見どころ8/10枚目 Interaural phase
動画の見どころ9/10枚目 Synaptic delays
動画の見どころ10/10枚目 Tutorial Organization
Introduction: Starting from hardware implementation of neural network architectures we have discussed about synaptic cross bar arrays using ...
YouTube-Nation Innovation
2020/02/29Spiking Neural Networks (SNN) are the so-called third generation of neural networks which attempt to more closely match the functioning of ...
YouTube-PRGUMD
2021/09/28[Journal paper] Spiking Neural Network Discovers Energy-efficient Hexapod Motion in Deep Reinforcement Learning, IEEE Access, (2021), ...
YouTube-Neuro-Robotics Lab
2021/12/07SNN : Spiking Neural Network (5) SNN구현사례 및 고급 주제 | 연세대학교 CogSci:IN. 1.5K views · 3 years ago ...more ...
YouTube-Synapse Symposium
2020/10/26SNN : Spiking Neural Network (2) 학습의 생물학적 원리 | 연세대학교 CogSci:IN. 1.6K views · 3 years ago ...more ...
YouTube-Synapse Symposium
2020/10/26求める情報が見つからない場合は、キーワードや指定した条件を変えてみてください。