Sensory processing across conscious and nonconscious brain states: from single neurons to distributed networks for inferential representation

U Olcese, MN Oude Lohuis… - Frontiers in systems …, 2018 - frontiersin.org
Neuronal activity is markedly different across brain states: it varies from desynchronized
activity during wakefulness to the synchronous alternation between active and silent states …

Is predictive processing a theory of perceptual consciousness?

T Marvan, M Havlík - New Ideas in Psychology, 2021 - Elsevier
Predictive Processing theory, hotly debated in neuroscience, psychology and philosophy,
promises to explain a number of perceptual and cognitive phenomena in a simple and …

Evaluation benchmarks for Spanish sentence representations

V Araujo, A Carvallo, S Kundu, J Cañete… - arXiv preprint arXiv …, 2022 - arxiv.org
Due to the success of pre-trained language models, versions of languages other than
English have been released in recent years. This fact implies the need for resources to …

Learning Sentence-Level Representations with Predictive Coding

V Araujo, MF Moens, A Soto - Machine Learning and Knowledge …, 2023 - mdpi.com
Learning sentence representations is an essential and challenging topic in the deep
learning and natural language processing communities. Recent methods pre-train big …

A predictive-coding network that is both discriminative and generative

W Sun, J Orchard - Neural computation, 2020 - direct.mit.edu
Predictive coding (PC) networks are a biologically interesting class of neural networks. Their
layered hierarchy mimics the reciprocal connectivity pattern observed in the mammalian …

Compressed sensing using neural networks

Y Wu, TP Lillicrap, M Rosca - US Patent App. 16/818,895, 2020 - Google Patents
Methods, systems, and apparatus, including computer programs encoded on computer
storage media, for compressed sensing using neural networks. One of the methods includes …