neurocomputing

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.

A hands-on learning lab for exploring EEG, MEG, and fMRI data using Python, MNE, Nilearn, and Machine Learning.

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 library for ESN creation and usage

This repository contains an implementation and examples of Adaline, Back-Propagation, and Kohonen Algorithms using Neural Networks

Reproducibility package for non-monotonic source reversion and source-position residual interventions

Report task for Neurocognitive Computing | Winter Semester 2022-23

Code, per-seed logs, and real NIST GIAB HG001 (GRCh38 v4.2.1) datasets for "Bias-Offset Sensitivity, Scale-Width Mismatch, and Majority-Class Collapse in C1 Piecewise-Quadratic Rectifiers" (Neurocomputing). Supported by the Faculty of Informatics, Mahasarakham University.