Results 211 to 220 of about 180,626 (262)
Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
Advanced Robotics Research, EarlyView.An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
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Neural Computation, 2000
We show that the information carried by compound events in neural spike trains—patterns of spikes across time or across a population of cells—can be measured, independent of assumptions about what these patterns might represent. By comparing the information carried by a compound pattern with the information carried independently by its parts, we ...
Naama Brenner +4 more
openaire +3 more sources
We show that the information carried by compound events in neural spike trains—patterns of spikes across time or across a population of cells—can be measured, independent of assumptions about what these patterns might represent. By comparing the information carried by a compound pattern with the information carried independently by its parts, we ...
Naama Brenner +4 more
openaire +3 more sources
Science, 1991
Traditional approaches to neural coding characterize the encoding of known stimuli in average neural responses. Organisms face nearly the opposite task—extracting information about an unknown time-dependent stimulus from short segments of a spike train.
William Bialek +3 more
openaire +3 more sources
Traditional approaches to neural coding characterize the encoding of known stimuli in average neural responses. Organisms face nearly the opposite task—extracting information about an unknown time-dependent stimulus from short segments of a spike train.
William Bialek +3 more
openaire +3 more sources
New England Journal of Medicine, 2014
The nervous and immune systems are generally thought to operate independently of one another. A couple of studies, using mouse models, demonstrate sensing of and a molecular response to bacterial infection and inflammation by the nervous system.
Benjamin E, Steinberg +2 more
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The nervous and immune systems are generally thought to operate independently of one another. A couple of studies, using mouse models, demonstrate sensing of and a molecular response to bacterial infection and inflammation by the nervous system.
Benjamin E, Steinberg +2 more
openaire +2 more sources
Neuroscience & Biobehavioral Reviews, 1998
Rate coding and temporal coding are two extremes of the neural coding process. The concept of a stationary state corresponds to the information processing approach that views the brain as a decision maker, adopts rate coding as its main strategy and endorses the single- or few neuron approach.
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Rate coding and temporal coding are two extremes of the neural coding process. The concept of a stationary state corresponds to the information processing approach that views the brain as a decision maker, adopts rate coding as its main strategy and endorses the single- or few neuron approach.
openaire +2 more sources
Essential roles of noise in neural coding and in studies of neural coding
Biosystems, 2000We present examples of results from our studies of auditory primary afferent nerve fibers and populations of such fibers in the frog and gerbil. We take advantage of the natural dithering effect of internal noise, where it is sufficient, to construct highly predictive descriptive models (based on the Wiener series with kernels derived from white-noise ...
E R, Lewis, K R, Henry, W M, Yamada
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