GitHub

training_deep_normalization-free_spiking_neural_networks_with_lateral_inhibition.md

description The paper proposes DeepEISNN, a normalization-free learning framework based on cortical excitatory-inhibitory (E-I) circuits. By implementing E-I Init and E-I Prop, it achieves stable ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

idTracker and idtracker.ai approach multi-animal tracking from video as an image classification problem. For this classification, both rely on segments of video where all animals are visible to ...
GitHub

XiudingCai/Awesome-Mamba-Collection

(IEEE Transactions on Geoscience and Remote Sensing) RSMamba: Biologically Plausible Retinex-Based Mamba for Remote Sensing Shadow Removal [paper] (2025.01.08) (IEEE Internet of Things Journal) ...
IEEE

Integrated Photonic Convolutional Neural Network Based on Silicon Metalines

Abstract: Compact and low-power CMOS-compatible hardware can be used for on-chip optical neural networks (ONNs), enabling affordable and portable image classification solutions for applications like ...
Frontiers

Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative

Knee osteoarthritis is one of the most common musculoskeletal diseases and is usually diagnosed with medical imaging techniques. Conventionally, case identification using plain radiography is ...
eLife

Ultrafast simulation of large-scale neocortical microcircuitry with biophysically realistic neurons

Understanding the activity of the mammalian brain requires an integrative knowledge of circuits at distinct scales, ranging from ion channel gating to circuit connectomics. Computational models are ...
IEEE

Design of a Sparsity-Aware Reconfigurable Deep Learning Accelerator Supporting Various Types of Operations

Abstract: The superiority of various Deep Neural Networks (DNN) models, such as Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), and Recurrent Neural Networks (RNN), has ...