Results 21 to 30 of about 56,042 (290)

Interaction of Instrumental and Goal-Directed Learning Modulates Prediction Error Representations in the Ventral Striatum [PDF]

The Journal of Neuroscience, 2016
Goal-directed and instrumental learning are both important controllers of human behavior. Learning about which stimulus event occurs in the environment and the reward associated with them allows humans to seek out the most valuable stimulus and move through the environment in a goal-directed manner.
Rong Guo, Wendelin Böhmer, Martin Hebart, Samson Chien, Tobias Sommer, Klaus Obermayer, Jan Gläscher   +6 more
openaire   +3 more sources

Learning with three factors: modulating Hebbian plasticity with errors

Current Opinion in Neurobiology, 2017
Synaptic plasticity is a central theme in neuroscience. A framework of three-factor learning rules provides a powerful abstraction, helping to navigate through the abundance of models of synaptic plasticity. It is well-known that the dopamine modulation of learning is related to reward, but theoretical models predict other functional roles of the ...
Łukasz Kuśmierz, Takuya Isomura, Taro Toyoizumi   +2 more
openaire   +2 more sources

Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar

Journal of King Saud University: Computer and Information Sciences, 2020
Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar, Gurusamy Murugesan, Jeyakumar Natarajan   +2 more
doaj   +1 more source

STPF-Net: Short-Term Precipitation Forecast Based on a Recurrent Neural Network

Remote Sensing, 2023
Accurate and timely precipitation forecasts are critical in modern society, influencing both economic activity and daily life. While deep learning methods leveraging remotely sensed radar data have become prevalent for precipitation nowcasting, longer ...
Jingnan Wang, Xiaodong Wang, Jiping Guan, Lifeng Zhang, Fuhan Zhang, Tao Chang   +5 more
doaj   +1 more source

An Automatic Modulation Recognition Method with Low Parameter Estimation Dependence Based on Spatial Transformer Networks

Applied Sciences, 2019
Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in ...
Mingxuan Li, Ou Li, Guangyi Liu, Ce Zhang   +3 more
doaj   +1 more source

Akt1 deficiency modulates reward learning and reward prediction error in mice

Genes, Brain and Behavior, 2012
In contemporary reinforcement learning models, reward prediction error (RPE), the difference between the expected and actual reward, is thought to guide action value learning through the firing activity of dopaminergic neurons. Given the importance of dopamine in reward learning and the involvement of Akt1 in dopamine‐dependent behaviors, the aim of ...
Chen, Y.-C., Chen, Y.-W., Hsu, Y.-F., Chang, W.-T., Hsiao, C.K., Min, M.-Y., Lai, W.-S.   +6 more
openaire   +3 more sources

Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning

CoRR, 2023
Humans excel at lifelong learning, as the brain has evolved to be robust to distribution shifts and noise in our ever-changing environment. Deep neural networks (DNNs), however, exhibit catastrophic forgetting and the learned representations drift drastically as they encounter a new task.
Fahad Sarfraz, Elahe Arani, Bahram Zonooz   +2 more
openaire   +3 more sources

Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science

Remote Sensing, 2020
This article presents an online teaching tool that introduces students to basic concepts of remote sensing and its applications in hydrology. The learning module is intended for junior/senior undergraduate students or junior graduate students with no (or
Viviana Maggioni, Manuela Girotto, Emad Habib, Melissa A. Gallagher   +3 more
doaj   +1 more source

Reinforcement Recommendation System Based on Causal Mechanism Constraint [PDF]

Jisuanji gongcheng
The application of historical data for training reinforcement learning recommendation systems is currently gaining attention from researchers. However,historical data leads to the incorrect estimation of state-actions in reinforcement learning models ...
ZHANG Sili, LI Zijian, CAI Ruichu, HAO Zhifeng, YAN Yuguang
doaj   +1 more source

Learning with Errors from Nonassociative Algebras [PDF]

We construct a provably-secure structured variant of Learning with Errors (LWE) using nonassociative cyclic division algebras, assuming the hardness of worst-case structured lattice problems, for which we are able to give a full search-to-decision ...
Cong Ling, Andrew Mendelsohn
core   +3 more sources