Dynamic and static models for real-time facial emotion recognition
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Updated
Aug 2, 2024 - Jupyter Notebook
Dynamic and static models for real-time facial emotion recognition
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Code for "Dual-Level Adaptive Incongruity-Enhanced Model for Multimodal Sarcasm Detection".
Nuerapse simulations for SNNs
Code for J. Wang, X. Tan, J. Lai, and J. Li. ASPCNet: Deep adaptive spatial pattern capsule network for hyperspectral image classification. Neurocomputing. 2022(486). 47-60.
This repository contains Jupyter notebooks that simulate a Hodgkin-Huxley neuron model and apply Bayesian inference using synthetic data. The goal is to simulate neuronal activity and use Bayesian methods to infer the underlying model parameters.
A hands-on learning lab for exploring EEG, MEG, and fMRI data using Python, MNE, Nilearn, and Machine Learning.
This repository contains an implementation and examples of Adaline, Back-Propagation, and Kohonen Algorithms using Neural Networks
Report task for Neurocognitive Computing | Winter Semester 2022-23
Reproducibility package for non-monotonic source reversion and source-position residual interventions
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