Emulating Complex Synapses Using Interlinked Proton Conductors

no code implementations • 26 Jan 2024 • Lifu Zhang, Ji-An Li, Yang Hu, Jie Jiang, Rongjie Lai, Marcus K. Benna, Jian Shi

The memory consolidation from coupled storage components is revealed by both numerical simulations and experimental observations.

Continual Learning

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

1 code implementation • 12 Jul 2021 • Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister

Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries.

Instance Segmentation Segmentation +1

Extension of causal decomposition in the mutual complex dynamic process

no code implementations • 17 Aug 2020 • Yi Zhang, Qin Yang, Lifu Zhang, Branko Celler, Steven Su, Peng Xu, Dezhong Yao

Causal decomposition depicts a cause-effect relationship that is not based on the concept of prediction, but based on the phase dependence of time series.

Time Series Time Series Analysis

Pipelined Training with Stale Weights of Deep Convolutional Neural Networks

no code implementations • 29 Dec 2019 • Lifu Zhang, Tarek S. Abdelrahman

We use 4 CNNs (LeNet-5, AlexNet, VGG and ResNet) and show that when pipelining is limited to early layers in a network, training with stale weights converges and results in models with comparable inference accuracies to those resulting from non-pipelined training on MNIST and CIFAR-10 datasets; a drop in accuracy of 0. 4%, 4%, 0. 83% and 1. 45% for the 4 networks, respectively.