Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Explaining the Comprehension-Production Vocabulary Gap Through Neural Networks and Cross-Syndrome Evidence: Insights From Williams Syndrome. [PDF]
D'Souza D +3 more
europepmc +1 more source
Long-term training alters response dynamics in the aging auditory cortex [PDF]
Jonah K. Mittelstadt +2 more
openalex +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Functional Plasticity in Auditory and Visual Discrimination Processing in Patients with Single-Sided Deafness: An EEG Study. [PDF]
Liu Q +8 more
europepmc +1 more source
The serotonergic psychedelic DOI impairs deviance detection in the auditory cortex
Max Horrocks +2 more
openalex +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Ultrasound neuromodulation as a novel dementia therapy-Investigation of possible long-term confounds. [PDF]
Mitterwallner M +3 more
europepmc +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
The role of auditory and haptic cues in object enumeration within containers. [PDF]
Frissen I, Sagou O, Overvliet KE.
europepmc +1 more source

