相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Multidisciplinary Sciences
Mahdi Hajihashemi et al.
Summary: This study analytically examines the interacting strategies in evolutionary games using a Markov chain method in a well-mixed population. By establishing a correspondence between an evolutionary game and Markov chain dynamics, the study demonstrates the equivalence of results obtained from the fundamental matrix method in Markov chain dynamics to those in the evolutionary game. The study shows that the fundamental matrix method allows for the calculation of quantities such as fixation probability and fixation time. Furthermore, the method enables the calculation of conditional fixation time in the absorbing Markov chain and the analytical calculation of the stationary probability distribution in the ergodic Markov chain. The study evaluates the Rock, scissor, paper evolutionary game as an example and compares the results of the analytical method with simulations, showing that the analytical method saves time and computational resources compared to prevalent simulation methods.
Article
Multidisciplinary Sciences
Matthew J. Colbrook et al.
Summary: Despite the existence of stable neural networks, current deep learning methods often suffer from instability. This study demonstrates the existence of well-conditioned problems in scientific computing where neural networks with good approximation qualities can be proven to exist, but there is currently no algorithm that can train or compute such networks.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Multidisciplinary Sciences
Shiri Hodassman et al.
Summary: Synaptic plasticity is a core hypothesis in brain learning and forms the foundation of machine learning. By simulating experimental evidence, we demonstrate efficient backpropagation and Hebbian learning on dendritic trees, achieving deep learning and near-perfect recognition rates for handwritten digits. Dendritic amplification enhances success rates through increased input crosses and higher-order interactions. However, the manipulation of a large number of cross weights is beyond current computational capabilities, calling for the development of nonlinear adaptive dendritic hardware.
SCIENTIFIC REPORTS
(2022)
Article
Psychology, Biological
Pedro Castro-Rodrigues et al.
Summary: Explicit information obtained through instruction profoundly shapes human choice behaviour, specifically affecting model-based and model-free systems in complex decision-making tasks. Providing task structure information strongly increases model-based control in both healthy volunteers and individuals with obsessive-compulsive disorder.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Computer Science, Artificial Intelligence
Guobin Shen et al.
Summary: In this study, a biologically plausible spatial and temporal adjustment method is proposed to improve the training of spiking neural networks. Experimental results show that this method reduces network latency and energy consumption while improving network performance.
Article
Mathematics, Applied
Yoshito Hirata
Summary: The study demonstrates that recurrence plots can be used to analyze time series generated from random dynamical systems and proposes three theorems to explain the correspondence between recurrence plots, initial conditions, and stochastic inputs. A stochasticity test based on recurrence plots is also introduced in the study.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Humanities, Multidisciplinary
Song-Ju Kim et al.
Summary: In this study, a fair distribution method using physics was proposed to address the issue of uneven wealth distribution, with the linear programming problem for calculating the nucleolus efficiently solved by considering it as a physical system. This approach not only reduces computational complexity but also provides a new perspective for policymakers to adapt to real-time changes.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Lei Wang et al.
SCIENTIFIC REPORTS
(2020)
Proceedings Paper
Computer Science, Cybernetics
Narong Aphiratsakun et al.
2020 5TH INTERNATIONAL STEM EDUCATION CONFERENCE (ISTEM-ED)
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Remi Bedard-Couture et al.
IJCCI: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE
(2019)
Article
Economics
Dimitris Batzilis et al.
Article
Multidisciplinary Sciences
David Silver et al.
Article
Multidisciplinary Sciences
Qian Yu et al.
SCIENTIFIC REPORTS
(2016)
Article
Multidisciplinary Sciences
Song-Ju Kim et al.
SCIENTIFIC REPORTS
(2016)
Review
Multidisciplinary Sciences
Yann LeCun et al.
Article
Multidisciplinary Sciences
Zhijian Wang et al.
SCIENTIFIC REPORTS
(2014)
Article
Computer Science, Artificial Intelligence
Hannes Schulz et al.
KUNSTLICHE INTELLIGENZ
(2012)
Review
Physics, Multidisciplinary
Norbert Marwan et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2007)
