eLife

Feedback control of recurrent circuits imposes dynamical constraints on learning

This important study uses a feedback-driven recurrent neural network framework to explore the dynamics underlying learning of BCI decoder perturbations. With convincing evidence, the authors ...
Hosted on MSN

Researchers decode dreaming patterns within a sleeping octopus brain

Thomas Mulligan investigates the groundbreaking discovery of complex neural activity in cephalopods, revealing that these deep-sea creatures may experience vivid dream states similar to humans. Where ...
IEEE

A Systematic Comparison of Text and Image Encoders for Visual Question Answering: From RNN to LLM-Based Representations

Abstract: This study presents a systematic comparative analysis of text and image encoder combinations for Visual Question Answering (VQA) using the EasyVQA dataset. We evaluate six text encoders ...
IEEE

SConvNSys: Accelerating Spiking Convolutional Neural Networks With a Reconfigurable Neuromorphic Architecture for Diverse Applications

Abstract: In recent years, spiking neural networks (SNNs) have progressively closed the performance gap with convolutional neural networks (CNNs), which are renowned for their success in complex ...
GitHub

HS counterpart to mtgencode. Data management utilities for creating Hearthstone cards with neural networks.

Much like mtgencode the purpose of this project is to wrangle text between tools and human readable formats. The original input to encode comes from HearthstoneJSON maintained by the excellent people ...
GitHub

spk2vidnet_a_hierarchical_recurrent_architecture_for_high-fidelity_video_reconstr.md

description [CVPR 2026][图像生成][脉冲相机] 针对脉冲相机超分（SCSR）只能处理固定短序列、且脉冲信号有波动的两大痛点 ...