Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...
The final, formatted version of the article will be published soon. Background. Federated learning (FL) could boost deep learning in neuroimaging but is rarely deployed in a real-world scenario, where ...
BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...
Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...
It’s not science fiction: scientists are using machine learning algorithms to decipher how animals communicate and what they’re saying. A new collaboration between Project CETI (Cetacean Translation ...
Chronic pain affects nearly one in five adults worldwide and remains one of the leading causes of disability. Unlike acute pain triggered by injury, chronic pain often arises spontaneously—without an ...
Abstract: Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is ...
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