Results 61 to 70 of about 1,405,222 (160)
Abstract figure legend We used an optogenetic gain‐of‐function manipulation to investigate how sensory signals from two subtypes of Aβ low threshold mechanoreceptors (LTMRs) contribute to the cortical representation of touch. CatCh, a sensitive and fast channelrhodopsin variant, enables pulsed‐light generation of high‐frequency action potential trains ...
Wanyi Liu +2 more
wiley +1 more source
On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence
Memristor crossbar arrays implemented on chip combines memory, computation, and learning. They allow for adapting the neural weights using the incoming sensor data. This architecture reduces data movement leading to low‐latency, energy‐efficient intelligence in edge while being reliability‐aware co‐design across devices, circuits, and algorithms that ...
Alex James
wiley +1 more source
Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz +2 more
wiley +1 more source
Computational models illustrate how myelinating glia may shape the temporal integration of spikes upon a common postsynaptic target. Models show consequences for synaptic plasticity, neuronal excitability, and the fidelity of neural signals. ABSTRACT Myelin regulates neural signaling not only by enabling fast conduction but also by dynamically tuning ...
Daniel O'Sullivan +7 more
wiley +1 more source
ABSTRACT Background Accurate assessment of plantar loading, including shear forces, is crucial for understanding foot pathologies such as dactylitis in psoriatic arthritis (PsA). Existing devices predominantly measure plantar pressures, neglecting important shear stresses which may initiate dactylitis.
Dominic Jones +9 more
wiley +1 more source
Abstract Steady‐state attractor detection differs fundamentally between discrete Boolean network (BN) and continuous diffusion‐based models because they operate on different state spaces and exhibit distinct dynamic behaviors. Here, we propose cell dynamics on energy landscape (CellLand) to systematically compare BN and diffusion‐based approaches for ...
Lingyu Li +4 more
wiley +1 more source
A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman +3 more
wiley +1 more source
Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System
Abstract Tipping points in the Earth system have the potential to cause major detrimental impacts to the biosphere and societies. Their inherent nonlinearity implies that even relatively small additional increases in external forcing might result in disproportionately large adjustments to components of the Earth system.
Jesse F. Abrams +13 more
wiley +1 more source
Finite Difference Approximation for Linear Stochastic Partial Differential Equations with Method of Lines [PDF]
A stochastic partial differential equation, or SPDE, describes the dynamics of a stochastic process defined on a space-time continuum. This paper provides a new method for solving SPDEs based on the method of lines (MOL).
McDonald, Stuart
core
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation [PDF]
We consider a setting in which $N$ agents aim to speedup a common Stochastic Approximation (SA) problem by acting in parallel and communicating with a central server.
Kulkarni, Sanjeev R. +5 more
core +1 more source

