Titlebook: Artificial Intelligence for Neuroscience and Emotional Systems; 10th International W José Manuel Ferrández Vicente,Mikel Val Calvo,Hojj Con

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Early Diagnosis of?Schizophrenia in?EEG Signals Using One Dimensional Transformer Modeler architecture, incorporating various activation functions, is applied to extract features from the preprocessed EEG signals. In the architecture’s final layer, the Softmax activation function is utilized for classifying the data. The performance of the proposed model is assessed using a K-Fold cro

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Diagnosis of?Schizophrenia in?EEG Signals Using dDTF Effective Connectivity and?New PreTrained CNN aWT), and effective connectivity matrices are derived using the directed Directed Transfer Function (dDTF) technique. Following this, state-of-the-art pretrained DL models based on CNNs and transformers are applied to extract features and classify the 2D dDTF images obtained from different EEG sub-ba

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A Survey on?EEG Phase Amplitude Coupling to?Speech Rhythm for?the?Prediction of?Dyslexiaights Ratio PAC. Analysis of the classification model reveal differences in the entrainment at regions typically associated to language, paving the way for an accurate and interpretable DLX diagnosis methodology.

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Artificial Intelligence for Neuroscience and Emotional Systems10th International W

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José Manuel Ferrández Vicente,Mikel Val Calvo,Hojj

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,Alltag: Blaupause für die Angst,ing the Particle Swarm Optimization (PSO) algorithm, we achieved a significant enhancement in the classification rate, elevating it from 96% to an impressive 100%. These compelling results underscore the efficacy of our proposed methodology and illuminate the promising potential of smartphone-based

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https://doi.org/10.1007/978-3-658-43298-0ty inferred from simultaneously recorded fNIRS signals. Thus, the resulting image sequences preserve spatial and temporal information of the communication and interaction between different neural processes and provide discriminative information that enables differentiation between controls and dysle

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