Argunşah et al. investigate the mechanisms underlying the differential response dynamics of barrel vs septa domains in shaping the responses to single vs multiple whiskers. Based on the observation of ...

Jomon genomics reveal cold adaptation in Upper Paleolithic hunter-gatherers of eastern Eurasia The integration of synaptic inputs is a fundamental function of neurons. In the traditional model, ...

This important study provides new insight into how frontostriatal circuits encode elapsed time and exhibit decision-related dynamics during an auditory change-detection task. Analyses of ...

Neurorehabilitation poses a crucial problem in clinical recovery tasks, particularly for individuals with poor motor functions and neurological impairments, and problems in activities of daily living ...

In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...

University of Michigan researchers have developed a machine learning system using four wearable sensors that can accurately assess balance exercise difficulty and provide AI-driven feedback to support ...

Abstract: Broad learning system (BLS), as an innovative type of neural network, has demonstrated exceptional performance in regression tasks. Nonetheless, the majority of BLS methods, which rely on ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

Forbes contributors publish independent expert analyses and insights. Robert Olsen is a journalist covering transatlantic business news. Pearson reported faster sales growth in the third quarter and ...

Abstract: In this paper, an adaptive fixed-time control approach is designed for a robot with dynamic uncertainty in the presence of input quantization by using the Broad learning system (BLS). The ...