カテゴリ

機械学習

15552 スキル

AIに聞く

15552 スキル

Snn Learning Survey

Comprehensive survey of Spiking Neural Network learning algorithms. Classification of Hebbian, gradient-based, reward-based, and bio-inspired learning methods with computational efficiency vs. biological plausibility analysis.

hiyenwong0

機械学習

Seizure Risk Forecasting

癫痫发作风险预测方法论。将iEEG功能脑网络嵌入低维欧氏空间，定义无量纲生物标志物区分发作间期和发作前期。适用于癫痫发作预测、iEEG分析。触发词：癫痫预测、seizure forecasting、preictal。

hiyenwong0

機械学習

Sparse Neural Connectivity Recovery from Partial Measurements

Recover sparse neural connectivity from partial measurements using a covariance-based approach with Granger-causality refinement. Infer the weight matrix of recurrent neural networks from sparse, partial observations of neural activity. 基于协方差和格兰杰因果的稀疏神经连接恢复方法，从部分观测中推断循环神经网络的连接权重矩阵。触发词：sparse neural connectivity, partial measurements, covariance-based estimation, Granger causality, neural connectivity recovery, recurrent neural network, RNN weight estimation, sparse recovery, 稀疏神经连接, 部分观测, 协方差估计

hiyenwong0

機械学習

Spike Image Decoder

从神经脉冲重建视觉场景的深度学习框架（SID）。端到端解码器，从视网膜神经节细胞脉冲重建静态图像和动态视频。触发词：神经解码、视觉重建、脉冲解码、脑机接口、神经假体、 neural decoding, visual reconstruction, spike decoding, brain-machine interface。

hiyenwong0

機械学習

Spiking Neural Network Training

Training methodologies for energy-efficient spiking neural networks (SNNs). Covers surrogate gradient methods, spike-timing-dependent plasticity (STDP), and neuromorphic implementation. Activation: SNN, spiking neural network, surrogate gradient, STDP, neuromorphic.

hiyenwong0

機械学習

Spiking Mode Neural Networks

脉冲模式神经网络训练框架。基于Hopfield分解将循环权重矩阵分解为输入/输出模式和评分矩阵，显著降低训练成本，揭示低维吸引子结构。适用于神经形态计算、SNN训练加速、神经流形分析。触发词：脉冲模式网络、Hopfield分解、SNN训练加速、神经流形、spiking mode、Hopfield decomposition、neural manifold、attractor dynamics。

hiyenwong0

機械学習

Snn Learning Survey

Seizure Risk Forecasting

Sparse Neural Connectivity Recovery from Partial Measurements

Spike Image Decoder

Spiking Neural Network Training

Spiking Mode Neural Networks

機械学習

Snn Learning Survey

Seizure Risk Forecasting

Sparse Neural Connectivity Recovery from Partial Measurements

Spike Image Decoder

Spiking Neural Network Training

Spiking Mode Neural Networks

Spiking Connectome Hierarchical State Space

Staflow Eeg Decoding

Sumo Whole Body Locomanipulation

Quantized Snn Hardware Optimization

Two Trace Stdp Model

Von Economo Fast Lane Hypothesis

Eeg Cnn Autoencoder

V1-V3 Visual Cortex Alignment for VLM Robustness

Sharpness Aware Surrogate Training

Working Memory in Recurrent SNNs with Heterogeneous Synaptic Delays

Ember Snn Llm Cognitive Architecture

Learn Not Learn Litmus Test

Rnn Task Degradation Analysis

Eeg Foundation Model Adapters

Knowledge Synthesis

Technical Review

Cross Gun

Cross Gun

Ai Character Reference Generation

Fullscan

Moai Workflow Loop

Moai Workflow Loop

Skill Name

Npu Basic Migrate