Results 131 to 140 of about 1,528,226 (285)
Applied SciencesBrain–computer interface (BCI) technologies for language decoding have emerged as a transformative bridge between neuroscience and artificial intelligence (AI), enabling direct neural–computational communication.
Yingyi Qiu, Han Liu, Mengyuan Zhao
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Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Non‑invasive Continuous Chinese Language Semantic Decoding and Reconstruction
Shuju Caiji Yu ChuliLanguage is an important tool for communication and cognition. Multiple functional areas of the brain， connected through complex neural networks， jointly participate in the perception， comprehension， and production of language.
MA Lei +3 more
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Neural ensemble decoding reveals a correlate of viewer- to object-centered spatial transformation in monkey parietal cortex [PDF]
, 2008 The parietal cortex contains representations of space in multiple coordinate systems including retina-, head-, body-, and world-based systems. Previously, we found that when monkeys are required to perform spatial computations on objects, many neurons in
Chafee, MV, Crowe, DA, Averbeck, BB
core
Ethical Precision in Nanoscale Brain Interfacing
Advanced Science, EarlyView.As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
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Advanced Science, EarlyView.Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
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Maximum-likelihood trellis decoding technique for balanced codes. [PDF]
, 1995 A low-complexity encoding and maximum-likelihood trellis decoding (MLTD) technique for nonlinear balanced codes is presented.
Markarian, G. S., Honary, B., Blaum, M.
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Decoding dynamic visual scenes across the brain hierarchy.
PLoS Computational BiologyUnderstanding the computational mechanisms that underlie the encoding and decoding of environmental stimuli is a crucial investigation in neuroscience. Central to this pursuit is the exploration of how the brain represents visual information across its ...
Ye Chen +6 more
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Neural Manifolds in Brain-Machine Interfaces: Evaluating Their Potential for Decoding Motor Imagery
embargoed_20280330Brain-computer interfaces (BCIs) constitute an emerging technology with significant potential to enhance communication and control for individuals with severe motor impairments.
VIRGOLINI, FRANCESCA
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Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source