Assessing consciousness in patients with disorders of consciousness using soft-clustering

Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? – A thought-provoking impulse.

Application of Soft-Clustering to Assess Consciousness in a CLIS Patient

Evolving Hardware by Direct Bitstream Manipulation of a Modern FPGA

Coprocessors for special neural networks: KOKOS and KOBOLD

CoBEA: Framework for Evolving Hardware by Direct Manipulation of FPGA Bitstreams

Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults

Yes/No Classification of EEG data from CLIS patients

Evaluation of three machine learning algorithms for the automatic classification of EMG patterns in gait disorders

Consciousness Detection in a Complete Locked-in Syndrome Patient through Multiscale Approach Analysis

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