Results 191 to 200 of about 46,112 (290)
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng +9 more
wiley +1 more source
Progress, challenges and future of linguistic neural decoding with deep learning. [PDF]
Wang Y +8 more
europepmc +1 more source
Closed-loop enhancement and neural decoding of cognitive control in humans. [PDF]
Basu I +15 more
europepmc +1 more source
Automatic Spike Sorting for Neural Decoding
While various automated spike sorting techniques have been developed, their impact on neural decoding has not been investigated. In this paper we extend previous Gaussian mixture models and Expectation Maximization (EM) techniques for automatic spike ...
M. Fellows +3 more
core
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing +16 more
wiley +1 more source
Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants. [PDF]
Merk T +30 more
europepmc +1 more source
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
. To date, the neural decoding of time-evolving physical state – for example, the path of a foraging rat or arm movements – has been largely carried out using linear trajectory models, primarily due to their computational efficiency.
John P. Cunningham +3 more
core
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation. [PDF]
Hettick M +21 more
europepmc +1 more source

