Results 21 to 30 of about 142 (100)

EEG-Based Depression Classification and Brain Region Analysis Using a Hybrid of NeuCube and Dictionary Learning Framework

open access: yes
Abstract The Study of depression and its effects on the brain is essential since this common mental health disorder affects millions. In addition to disturbing emotional and cognitive processes, depression also disrupts activity in discrete brain regions. Identifying these distortions is important for expanding the diagnosis and treatment plans.
Ali Sam   +3 more
openaire   +2 more sources

Diagnostic biomarker discovery from brain EEG data with LSTM, reservoir-SNN and NeuCube: Methods and a pilot study on epilepsy vs migraine

open access: yes, 2023
The paper explores how deep LSTM and deep spiking neural networks (SNN) can be used to extract meaningful features from spatio-temporal EEG brain data for early, on-line diagnosis. It introduces a new online spike encoding algorithm for Izhikevich neural networks and new methods for learning and diagnostic biomarker discovery for ...
openaire   +1 more source

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification. [PDF]

open access: yesSensors (Basel), 2020
Vanarse A   +4 more
europepmc   +1 more source

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