20 hasil untuk "Jean-Rémi King"
Menampilkan 1–20 · 0,45 detik · RSS
-
Artikel Jurnal Teks lengkap
Brains and algorithms partially converge in natural language processing
Abstract Deep learning algorithms trained to predict masked words from large amount of text have recently been shown to generate activations similar to those of the human brain. However, what drives this similarity remains currently unknown. Here, we systematically compare a variety of deep…
Juga tersedia di: OpenAlex
-
Artikel Jurnal Teks lengkap
What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension?
Sentence comprehension requires inferring, from a sequence of words, the structure of syntactic relationships that bind these words into a semantic representation. Our limited ability to build some specific syntactic structures, such as nested center-embedded clauses (e.g., “The dog that the cat…
-
Artikel Jurnal
Deep language algorithms predict semantic comprehension from brain activity
Abstract Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process text, and now constitute the backbone of automatic translation, summarization and dialogue. However, whether these models encode information that relates to human comprehension still remains…
-
Artikel Jurnal Teks lengkap
The detection of algebraic auditory structures emerges with self-supervised learning.
Humans can spontaneously detect complex algebraic structures. Historically, two opposing views explain this ability, at the root of language and music acquisition. Some argue for the existence of an innate and specific mechanism. Others argue that this ability emerges from experience: i.e. when…
Juga tersedia di: PLOS
-
Artikel Jurnal
Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval
Summary: The ability to compose successive words into a meaningful phrase is a characteristic feature of human cognition, yet its neural mechanisms remain incompletely understood. Here, we analyze the cortical mechanisms of semantic composition using magnetoencephalography (MEG) while participants…
-
Artikel Jurnal Teks lengkap
Evidence of a predictive coding hierarchy in the human brain listening to speech
Considerable progress has recently been made in natural language processing: deep learning algorithms are increasingly able to generate, summarize, translate and classify texts. Yet, these language models still fail to match the language abilities of humans. Predictive coding theory offers a…
-
Artikel Jurnal
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations
Identifying causes solely from observations can be particularly challenging when i) the factors under investigation are difficult to manipulate independently from one-another and ii) observations are high-dimensional. To address this issue, we introduce ‘‘Back-to-Back’’ regression (B2B), a linear…
-
Artikel Jurnal Teks lengkap
Two distinct dynamic modes subtend the detection of unexpected sounds.
The brain response to auditory novelty comprises two main eeg components: an early mismatch negativity and a late P300. Whereas the former has been proposed to reflect a prediction error, the latter is often associated with working memory updating. Interestingly, these two proposals predict…
Juga tersedia di: PLOS
-
Artikel Jurnal
Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing
Abstract The “MEG-MASC” dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each participant performed two identical sessions, involving listening to four fictional stories from the Manually…
-
Artikel Jurnal Teks lengkap
Negation mitigates rather than inverts the neural representations of adjectives.
Combinatoric linguistic operations underpin human language processes, but how meaning is composed and refined in the mind of the reader is not well understood. We address this puzzle by exploiting the ubiquitous function of negation. We track the online effects of negation ("not") and intensifiers…
Juga tersedia di: PLOS
-
Artikel Jurnal
A theory of working memory without consciousness or sustained activity
Working memory and conscious perception are thought to share similar brain mechanisms, yet recent reports of non-conscious working memory challenge this view. Combining visual masking with magnetoencephalography, we investigate the reality of non-conscious working memory and dissect its neural…
-
Artikel Jurnal
Towards decoding individual words from non-invasive brain recordings
Abstract While deep learning has enabled the decoding of language from intracranial brain recordings, achieving this with non-invasive recordings remains an open challenge. We introduce a deep learning pipeline to decode individual words from electro- (EEG) and magneto-encephalography (MEG)…
-
Artikel Jurnal
Brain-scale cortico-cortical functional connectivity in the delta-theta band is a robust signature of conscious states: an intracranial and scalp EEG study
Abstract Long-range cortico-cortical functional connectivity has long been theorized to be necessary for conscious states. In the present work, we estimate long-range cortical connectivity in a series of intracranial and scalp EEG recordings experiments. In the two first experiments…
-
Artikel Jurnal
Bifurcation in brain dynamics reveals a signature of conscious processing independent of report
Current knowledge on the neural basis of consciousness mostly relies on situations where people report their perception. Here, the authors provide evidence for the idea that bifurcation in brain dynamics reflects conscious perception independent of report.
-
Artikel Jurnal
Differential cortical layer engagement during seizure initiation and spread in humans
Abstract Despite decades of research, we still do not understand how spontaneous human seizures start and spread – especially at the level of neuronal microcircuits. In this study, we used laminar arrays of micro-electrodes to simultaneously record the local field potentials and multi-unit neural…