Chromatic processing and receptive-field structure in neurons of the anterior optic tract of the honeybee brain. [PDF]
Mota T, Paffhausen B, Menzel R.
europepmc +1 more source
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli+5 more
wiley +1 more source
A dynamic receptive field and improved feature fusion approach for federated learning in financial credit risk assessment. [PDF]
Li R+8 more
europepmc +1 more source
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring+2 more
wiley +1 more source
Training-induced changes in population receptive field properties in visual cortex: Impact of eccentric vision training on population receptive field properties and the crowding effect. [PDF]
Malania M+5 more
europepmc +1 more source
The effect of dynamic synapses on spatiotemporal receptive fields in visual cortex
Ömer B. Artun+2 more
openalex +1 more source
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
Intrinsic and synaptic determinants of receptive field plasticity in Purkinje cells of the mouse cerebellum. [PDF]
Lin TF, Busch SE, Hansel C.
europepmc +1 more source
Modulation of horizontal cell receptive fields in the light adapted goldfish retina
Jan Verweij+3 more
openalex +1 more source