Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons [PDF]
Chicca E, Indiveri G, Douglas RJ. Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. Presented at the Advances in Neural Information Processing Systems 19 (NIPS).Cooperative competitive networks are ...
Schölkopf, B. +5 more
core
Spiking-UNet: Spiking Neural Networks for Spectrum Occupancy Monitoring
With the exponential growth of the Internet of Things (IoT) landscape and the resulting spectrum congestion, innovative techniques for spectrum monitoring are crucial.
Akram Al-Hourani (12877233) +2 more
core +1 more source
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons. [PDF]
The organization of computations in networks of spiking neurons in the brain is still largely unknown, in particular in view of the inherently stochastic features of their firing activity and the experimentally observed trial-to-trial variability of ...
Lars Buesing +3 more
doaj +1 more source
Emotional Stress Classification Using Spiking Neural Networks
Objective: This study examined the data modeling capability of spiking neural networks (SNN) in classifying stressed versus relaxed brain states using electroencephalogram (EEG) data.
Weerasinghe, Mahima Milinda Alwis +2 more
core +1 more source
Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source
Neural cross-correlation for radio astronomy [PDF]
Includes abstract.Includes bibliographical references (leaves 56-62).Correlation engines are essential elements of most signal processing systems.
Ngongoni, Chipo Nancy
core +1 more source
Neural synchrony in cortical networks: history, concept and current status [PDF]
Following the discovery of context-dependent synchronization of oscillatory neuronal responses in the visual system, the role of neural synchrony in cortical networks has been expanded to provide a general mechanism for the coordination of distributed ...
Nikolić, Danko +14 more
core +1 more source
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Neural Information Processing: between synchrony and chaos [PDF]
The brain is characterized by performing many different processing tasks ranging from elaborate processes such as pattern recognition, memory or decision-making to more simple functionalities such as linear filtering in image processing.
Vincent Canals +2 more
core +1 more source

