Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Automatic diagnosis of epileptic seizures in EEG signals using fractal dimension features and convolutional autoencoder method

A Malekzadeh, A Zare, M Yaghoobi… - Big Data and Cognitive …, 2021 - mdpi.com
This paper proposes a new method for epileptic seizure detection in
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …

Reinforcement learning strategies for vessel navigation

A Daranda, G Dzemyda - Integrated Computer-Aided …, 2023 - content.iospress.com
Safe navigation at sea is more important than ever. Cargo is usually transported by vessel
because it makes economic sense. However, marine accidents can cause huge losses of …

A new approach for neural decoding by inspiring of hyperdimensional computing for implantable intra-cortical BMIs

D Katoozian, H Hosseini-Nejad, MRA Dehaqani - Scientific Reports, 2024 - nature.com
In the field of Brain Machine Interface (BMI), the process of translating motor intention into a
machine command is denoted as decoding. However, despite recent advancements …

Low-power lossless data compression for wireless brain electrophysiology

A Cuevas-López, E Pérez-Montoyo… - Sensors, 2022 - mdpi.com
Wireless electrophysiology opens important possibilities for neuroscience, especially for
recording brain activity in more natural contexts, where exploration and interaction are not …

A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems.

N Ahmadi-Dastgerdi, H Hosseini-Nejad… - … Journal of Neural …, 2024 - europepmc.org
Unsupervised spike sorting, a vital processing step in real-time brain-implantable
microsystems, is faced with the prominent challenge of managing nonstationarity in neural …

A hardware efficient intra-cortical neural decoding approach based on spike train temporal information

D Katoozian, H Hosseini-Nejad… - Integrated …, 2022 - content.iospress.com
Motor intention decoding is one of the most challenging issues in brain machine interface
(BMI). Despite several important studies on accurate algorithms, the decoding stage is still …

Compression of Extracellular Neural Signals

A Alinejad - 2024 - ntnuopen.ntnu.no
Hjernesykdommer som demens og Parkinsons sykdom rammer millioner av mennesker og
utgjør et av de største helseproblemene verden står overfor i dag. Per nå er utviklingen er …