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 …
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 …
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
The human auditory system extracts rich linguistic abstractions from speech signals.
Traditional approaches to understanding this complex process have used linear feature …
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 …
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
Speech Neuroprostheses have the potential to enable communication for people with
dysarthria or anarthria. Recent advances have demonstrated high-quality text decoding and …
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 …
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 …
brain. Making such data publicly available not only helps tackle reproducibility issues in …
Crossmixed convolutional neural network for digital speech recognition
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 …
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 …
methodological reductionism. In the present study, we adopt a more holistic approach by …
How does artificial intelligence contribute to iEEG research?
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 …
implementation of various cognitive functions with an increasing number of applications in …