Results 81 to 90 of about 66,906 (266)

A Bayesian foundation for individual learning under uncertainty

Frontiers in Human Neuroscience, 2011
Computational learning models are critical for understanding mechanisms of adaptive behavior. However, the two major current frameworks, reinforcement learning (RL) and Bayesian learning, both have certain limitations.
Christoph eMathys, Christoph eMathys, Jean eDaunizeau, Jean eDaunizeau, Karl J Friston, Klaas Enno Stephan, Klaas Enno Stephan   +6 more
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

Bio‐Derived Polyelectrolyte Additive–Induced Interfacial Ion‐Diffusion Barriers for Nonvolatile Organic Artificial Synapses

Advanced Functional Materials, EarlyView.
Sodium alginate regulates interfacial ion transport and retention in electrolyte‐gated synaptic transistors. The carboxylate‐rich polymeric network forms a dynamic interfacial ion‐diffusion barrier that facilitates ion injection during programming while suppressing ion back‐diffusion, thereby stabilizing the electrochemically doped channel state.
Chaeyeon Han, Donghwa Lee, Hyeonse Kim, Hyoik Jang, Sein Chung, Geun Yeol Bae, Eunho Lee   +6 more
wiley   +1 more source

The relationship of economic policy uncertainty with the stock market index and the exchange rate: The case of Russia

Journal of New Economy
National economic policy uncertainty is a determinant of stock market volatility, decreased investor confidence, and macroeconomic instability. The study aims to examine the interaction between Russia’s Economic Policy Uncertainty Index (REPU), the ...
Hakan Yıldırım, Meltem Ince-Yenilmez
doaj   +1 more source

Tuning the Optoelectronic Properties of Wide Bandgap Perovskites: Data‐Driven Insights from Combinatorial Synthesis and High‐Throughput Experimentation

Advanced Functional Materials, EarlyView.
Combinatorial vapor deposition enables independent tuning of Cs/Pb and Br/Cl in wide‐bandgap perovskites. Automated multimodal mapping of 500+ compositions reveals a high‐energy optical transition that correlates with enhanced photoluminescence, defining a practical Cs/Pb window.
Alexander Wieczorek, Sergey Tsarev, Nathan Rodkey, Oleksandr Pshyk, Stefanie Frick, Maksym V. Kovalenko, Sebastian Siol   +6 more
wiley   +1 more source

Stochastic Volatility. [PDF]

, 2005
Stochastic volatility (SV) is the main concept used in the elds of nancial economics and mathematical nance to deal with the endemic time-varying volatility and codependence found in nancial markets. Such dependence has been known for a long time.
openaire   +2 more sources

Quantifying Cybersecurity Impacts on Clean Energy Market Volatility: A Time-Frequency Approach

Mathematics
This study investigates the impact of cyber threats on the clean energy (CE) market, which is increasingly dependent on digital technologies and interconnected infrastructure. The sector’s growing digitalization makes it more susceptible to cyberattacks,
Catalin Gheorghe, Oana Panazan
doaj   +1 more source

Modeling of Returns Volatility using GARCH(1,1) Model under Tukey Transformations

Jurnal Akuntansi dan Keuangan, 2019
This study proposed two new classes of GARCH(1,1) model by applying the Tukeytransformations to the returns and to the lagged variance. The behavior of return volatility was investigated on the basis of models with normal and Student-t distributions for ...
Didit Budi Nugroho, Bambang Susanto, Kezia Natalia Putri Prasetia, Rebecca Rorimpandey   +3 more
doaj   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source