Results 121 to 130 of about 55,343 (294)
Multisensory integration in dynamical behaviors: maximum likelihood estimation across bimanual skill learning [PDF]
Optimal integration of different sensory modalities weights each modality as a function of its degree of certainty (maximum likelihood). Humans rely on near-optimal integration in decision-making tasks (involving e.g., auditory, visual, and/or tactile ...
Miall, R. Chris
core
ABSTRACT Performance‐based assessments of sensory function provide essential insights into sensory integration challenges in autistic children and provide objective, standardized measurement data that can be used to tailor targeted interventions. We sought to evaluate the validity and reliability of data collected using the Evaluation in Ayres Sensory ...
Patricia Grady‐Dominguez +3 more
wiley +1 more source
ABSTRACT Many universities across Europe have developed outreach programs to bring high school students closer to science and help them make more informed decisions about their academic futures. At the University of Porto (Portugal), the Junior University is a summer school that offers research and development activities on specific topics, enabling ...
J. S. Sousa +6 more
wiley +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA [PDF]
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different and complementary types of sensors. Neuromorphic engineers mimics biological systems behavior to improve systems performance
Cerezuela Escudero, Elena +5 more
core
Merging second-person and first-person neuroscience [PDF]
Schilbach et al. contrast second-person and third-person approaches to social neuroscience. We discuss relations between second-person and first-person approaches, arguing that they cannot be studied in isolation.
Manos Tsakiris +2 more
core +1 more source
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source
Temporal profiles of response enhancement in multisensory integration
Animals have evolved multiple senses that transduce different forms of energy as a way of increasing their sensitivity to environmental events. Each sense provides a unique and independent perspective on the world, and very often a single event ...
Benjamin A Rowland, Barry E Stein
doaj +1 more source
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda +7 more
wiley +1 more source
Tactile hypo‐responsivity in autism: Examining potential for diagnostic relevance
The study reported in this paper examined the utility of a brief tactile reactivity assessment in differentiating autistic children from those with other neurodevelopmental concerns and the association between tactile responsivity, autism symptomatology, developmental level, and adaptive skills.
Girija Kadlaskar +4 more
wiley +1 more source

