Multifractal test for nonlinearity of interactions across scales in time series

DG Kelty-Stephen, E Lane, L Bloomfield… - Behavior Research …, 2023 - Springer
The creativity and emergence of biological and psychological behavior tend to be nonlinear,
and correspondingly, biological and psychological measures contain degrees of irregularity …

Representational maps in the brain: concepts, approaches, and applications

T Noda, DF Aschauer, AR Chambers… - Frontiers in Cellular …, 2024 - frontiersin.org
Neural systems have evolved to process sensory stimuli in a way that allows for efficient and
adaptive behavior in a complex environment. Recent technological advances enable us to …

Dissecting neural computations in the human auditory pathway using deep neural networks for speech

Y Li, GK Anumanchipalli, A Mohamed, P Chen… - Nature …, 2023 - nature.com
The human auditory system extracts rich linguistic abstractions from speech signals.
Traditional approaches to understanding this complex process have used linear feature …

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models

J Berezutskaya, ZV Freudenburg… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Development of brain–computer interface (BCI) technology is key for enabling
communication in individuals who have lost the faculty of speech due to severe motor …

Synthesizing speech from intracranial depth electrodes using an encoder-decoder framework

J Kohler, MC Ottenhoff, S Goulis, M Angrick… - arXiv preprint arXiv …, 2021 - arxiv.org
Speech Neuroprostheses have the potential to enable communication for people with
dysarthria or anarthria. Recent advances have demonstrated high-quality text decoding and …

Perceiving and remembering speech depend on multifractal nonlinearity in movements producing and exploring speech

L Bloomfield, E Lane, M Mangalam… - Journal of the …, 2021 - royalsocietypublishing.org
Speech perception and memory for speech require active engagement. Gestural theories
have emphasized mainly the effect of speaker's movements on speech perception. They fail …

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

J Berezutskaya, MJ Vansteensel, EJ Aarnoutse… - Scientific Data, 2022 - nature.com
Intracranial human recordings are a valuable and rare resource of information about the
brain. Making such data publicly available not only helps tackle reproducibility issues in …

Crossmixed convolutional neural network for digital speech recognition

QB Diep, HY Phan, TC Truong - Plos one, 2024 - journals.plos.org
Digital speech recognition is a challenging problem that requires the ability to learn complex
signal characteristics such as frequency, pitch, intensity, timbre, and melody, which …

Cortical network responses map onto data-driven features that capture visual semantics of movie fragments

J Berezutskaya, ZV Freudenburg, L Ambrogioni… - Scientific reports, 2020 - nature.com
Research on how the human brain extracts meaning from sensory input relies in principle on
methodological reductionism. In the present study, we adopt a more holistic approach by …

How does artificial intelligence contribute to iEEG research?

J Berezutskaya, AL Saive, K Jerbi… - arXiv preprint arXiv …, 2022 - arxiv.org
Artificial intelligence (AI) is a fast-growing field focused on modeling and machine
implementation of various cognitive functions with an increasing number of applications in …