Results 111 to 120 of about 2,367,946 (319)

Conditional Generative Neural Decoding with Structured CNN Feature Prediction

open access: yesAAAI Conference on Artificial Intelligence, 2020
Decoding visual contents from human brain activity is a challenging task with great scientific value. Two main facts that hinder existing methods from producing satisfactory results are 1) typically small paired training data; 2) under-exploitation of ...
Changde Du   +3 more
semanticscholar   +1 more source

An Algorithm Board in Neural Decoding

open access: yesCoRR
Understanding the mechanisms of neural encoding and decoding has always been a highly interesting research topic in fields such as neuroscience and cognitive intelligence. In prior studies, some researchers identified a symmetry in neural data decoded by unsupervised methods in motor scenarios and constructed a cognitive learning system based on this ...
Jingyi Feng, Kai Yang
openaire   +2 more sources

Sub‐Diffraction Nanolithography of Halide Perovskite via Reversible All‐Optical Crystallization–Decomposition

open access: yesAdvanced Materials, EarlyView.
A reversible, all‐optical modulation strategy enables resist‐free, sub‐diffraction nanolithography of halide perovskite films. Leveraging 800 nm fs laser‐induced crystallization and 365 nm laser driven decomposition, reconfigurable patterning achieves feature sizes down to 93.5 nm. This chemistry‐free approach offers dynamic control over optoelectronic
Zhengfen Wan   +4 more
wiley   +1 more source

Efficient Decoding With Steady-State Kalman Filter in Neural Interface Systems [PDF]

open access: yes, 2011
The Kalman filter is commonly used in neural interface systems to decode neural activity and estimate the desired movement kinematics.We analyze a low-complexity Kalman filter implementation in which the filter gain is approximated by its steady-state ...
Emery N. Brown   +7 more
core   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

open access: yesAdvanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Neural Decoding with Normalizing Flows [PDF]

open access: yes, 2021
e pattern of light that reaches the retina is projected onto patterns of neural activity via a cascade of re exive computations alongside six interconnected brain areas in the occipital lobe called the visual ventral stream.
Mahner, Florian
core  

Neural Encoding and Decoding at Scale

open access: yesCoRR
Recent work has demonstrated that large-scale, multi-animal models are powerful tools for characterizing the relationship between neural activity and behavior. Current large-scale approaches, however, focus exclusively on either predicting neural activity from behavior (encoding) or predicting behavior from neural activity (decoding), limiting their ...
Yizi Zhang   +9 more
openaire   +3 more sources

Biointegrated Battery‐Based Electroceuticals

open access: yesAdvanced Materials, EarlyView.
Biointegrated batteries go beyond passive power to serve as active therapeutic platforms for delivering programmable electrical cues and bioactive agents. This review examines their mechanisms and applications and provides a framework to guide battery‐based therapeutic design and clinical translation.
Yan Zhou   +6 more
wiley   +1 more source

On the Interpretability of Neural Network Decoders

open access: yesAdvanced Quantum Technologies
Abstract Neural‐network (NN) based decoders are becoming increasingly popular in the field of quantum error correction (QEC), including for decoding of state‐of‐the‐art quantum computation experiments. In this work, established interpretability methods are used from the field of machine learning, to introduce a toolbox to achieve an ...
Bödeker, Lukas   +2 more
openaire   +4 more sources

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

open access: yesAdvanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee   +13 more
wiley   +1 more source

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