But in our model, the fundamental tuning properties are determined by a fixed linear receptive field, and are modulated by a gain control signal with its own tuning properties.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Aspects of the research and practice paradigm known as the diffusion of innovations are applicable to the complex context of health care, for both explanatory and interventionist purposes. This art ...

ISA-88.00.01-2010, Batch Control – Part 1: Models and Terminology; ISA-88.00.02-2001, Batch Control – Part 2: Data Structures and Guidelines for Languages; ISA-88.00.03-2003, Batch Control – Part 3: ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Modern satellite communication networks will employ frequencies above 10GHz. At these frequency bands, rain attenuation is the dominant fading mechanism. In this paper, a novel channel model, a ...

Linear impulsive control systems have been extensively studied with respect to their equilibrium points which, in most cases, are no other than the origin. However, the trajectory of an impulsive ...

At subsecond time-scales and micron length-scales, cells behave as fluid-filled sponges in which shape changes necessitate intracellular fluid redistribution. However, whether these cytoplasmic ...

Linearized Coupled Cluster Doubles (LinCCD) often provides near-singular energies in small-gap systems that exhibit static correlation. This has been attributed to the lack of quadratic T̂22 terms ...

The overview of our Adaptive Data Refinement Framework (ADR). (a) In the Analyzing Stage, we first extract tokens, objects, co-occurrences, and interrogations from the training instances, then ...