Results 181 to 190 of about 47,461 (267)

Separating feedforward and feedback dynamics using time-frequency resolved connectivity: A hybrid model of left ventral occipitotemporal cortex in word reading. [PDF]

Imaging Neurosci (Camb)
You J, Hauk O, Salmelin R, van Vliet M.
europepmc   +1 more source

Machine Learning‐Guided Near‐Infrared Laser Processing for Precise Geometry Control in Microneedles with Downstream microLED‐Triggered Photothermal Functionality

Small, EarlyView.
Machine learning‐guided near‐infrared laser processing enables predictive fabrication of microneedles with application‐specific geometries. The optimized metal templates are translated into polymeric microneedles and integrated with a flexible microLED platform.
Ismail Eş, Burak M. Gormus, Pinar Ayas, Irfan Ullah, Christopher M. Proctor   +4 more
wiley   +1 more source

Approaching human visual perception through AI-based representation of figure-ground segregation. [PDF]

Front Psychol
Yip C, Moroze E, Nishina S, Yazdanbakhsh A.   +3 more
europepmc   +1 more source

Professionalising the Cybersystemic Practitioner: Five Decades of STiP Education at the Open University (1971–2025)

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This paper draws on over five decades of experience in educating and developing systems thinking practitioners at the Open University (OU) UK to explore the opportunities and challenges in the professionalisation of systems thinking in practice (STiP).
Ray Ison
wiley   +1 more source

How do we think and what is the neural circuit mechanism for it? Possible roles of working memory and inner speech in thinking. [PDF]

Front Hum Neurosci
Mori K, Sakano H.
europepmc   +1 more source

Explainable Machine Learning for Predicting Time‐to‐Failure of Horizontal Pressurized Storage Tanks in Fire Scenarios

Safety Science and Technology, EarlyView.
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu, Mingshu Bi, Zilong Deng, Di Yu, Jingjing Yang, Jingjie Ren   +5 more
wiley   +1 more source

Conditions for replay of neuronal assemblies. [PDF]

PLoS Comput Biol
Cano G, Kempter R.
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Modulatory feedback determines attentional object segmentation in a model of the ventral stream. [PDF]

PLoS One
Papale P, Williford JR, Balk S, Roelfsema PR.   +3 more
europepmc   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source