The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch
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Updated
Nov 24, 2024 - Python
The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch
Code repository for "CRISP: Curriculum based Sequential neural decoders for Polar code family" - ICML 2023
[INTERSPEECH 2025]Official code for "MiSTR: Multi-Modal iEEG-to-Speech Synthesis with Transformer-Based Prosody Prediction and Neural Phase Reconstruction"
Image Reconstruction from Brain fMRI imaging using Diffusion Models
This repository is for ACL 2022 findings paper: Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding.
Official implementation of the MICCAI 2022 paper "Graph Emotion Decoding from Visually Evoked Neural Responses"
Code for the paper "Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings".
Scripts to perform hyperalignment and movie segment decoding using the Budapest dataset.
This repository contains code implementations for the Discriminative Kalman Filter.
Deep learning system that interprets brain signals from EEG/fMRI to control devices, predict neurological disorders, and enable brain-computer interfaces.
RNN is trained to reconstruct the original vector representation of perceived words from the neural activity recorded by fNIRS.
Solving Non-differentiable Spiking Inverse Problems via Diffusion Posterior Sampling (DPS) and Differentiable Proxy Learning
Post-hoc analysis of relevant spatiotemporal features for speech decoding using a linear support vector classifier and LDA. The post-hoc analysis is made by using the SHAP technique
Audio-guided cross-modal fusion framework for motion-aware fMRI-to-video reconstruction.
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