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Myopic control of neural dynamics

David Hocker, Il Memming Park, Daniele Marinazzo
2019 PLoS Computational Biology  
This "myopic" controller is formulated through a novel variant of a model reference control cost that manipulates dynamics in a short-sighted manner that only sets a target trajectory of a single time  ...  the unique needs of manipulating neural dynamics.  ...  The objective of myopic control is for the controlled system to behave as a target neural dynamical system.  ... 
doi:10.1371/journal.pcbi.1006854 pmid:30856171 pmcid:PMC6428347 fatcat:vtah573oozfwvh2ddjxtwc7bbi

Myopic control of neural dynamics [article]

David Hocker, Il Memming Park
2017 bioRxiv   pre-print
the unique needs of manipulating neural dynamics.  ...  Manipulating the dynamics of neural systems through targeted stimulation is a frontier of research and clinical neuroscience; however, the control schemes considered for neural systems are mismatched for  ...  The objective of myopic control is for the controlled system to behave as a target neural dynamical system.  ... 
doi:10.1101/241299 fatcat:yinfmio4ivgsropzy6jzrw4apu

Information-Driven Path Planning

Shi Bai, Tixiao Shan, Fanfei Chen, Lantao Liu, Brendan Englot
2021 Current Robotics Reports  
Purpose of Review The era of robotics-based environmental monitoring has given rise to many interesting areas of research.  ...  learning can be used to improve the robustness and efficiency of informative path planning in robotics.  ...  [124] proposed a deep graph neural network with reinforcement learning to learn a scalable control policy.  ... 
doi:10.1007/s43154-021-00045-6 fatcat:cfnlvoaacjhptlbdtk6fhjm37m

Elucidation of the more myopic eye in anisometropia: the interplay of laterality, ocular dominance, and anisometropic magnitude

Siyu Jiang, Zheyi Chen, Hua Bi, Ruijing Xia, Ting Shen, Ling Zhou, Jun Jiang, Bin Zhang, Fan Lu
2019 Scientific Reports  
Seventy percent of the subjects had a right eye that was more myopic, while 30% of them had a more myopic left eye.  ...  This study reveals how, in a myopic anisometrope, the odds of an eye being more myopic are related to laterality, ocular dominance, and magnitude of anisometropia.  ...  The authors gratefully thank Eye Hospital of Wenzhou Medical University, all subjects and their parents for participating in our study and all team members in the Department of Optometry.  ... 
doi:10.1038/s41598-019-45996-1 pmid:31270453 pmcid:PMC6610619 fatcat:hbyfzjzar5e43hf2efolgr6dau

Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach

Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu
2018 IEEE Internet of Things Journal  
Furthermore, a special type of recurrent neural network (RNN), called the reservoir computing (RC), is utilized to realize DRL by taking advantage of the underlying temporal correlation of the DSA network  ...  We also show that our scheme outperforms the myopic method which assumes the knowledge of system statistics, and converges faster than the Q-learning method when the number of channels is large.  ...  Furthermore, no centralized controller is assumed in our DSA network to allow fully distributed dynamic spectrum access strategies.  ... 
doi:10.1109/jiot.2018.2872441 fatcat:sovqldihkvfktcfiqvp2wvepjy

Discriminative Data-driven Self-adaptive Fraud Control Decision System with Incomplete Information [article]

Junxuan Li and Yung-wen Liu and Yuting Jia and Jay Nanduri
2019 arXiv   pre-print
Three control models, Naive, Myopic and Prospective Controls, were developed based on the availability of data attributes and levels of label maturity.  ...  intelligence, and dynamic optimization techniques.  ...  Figure 4 4 the data until the end of period t − L, letŜ (t) depicts the decision flow of myopic control. Figure 4 : 4 Myopic dynamic control s)) at current period, t.  ... 
arXiv:1810.01982v2 fatcat:ir56untssnb4bkmzi6lsydc52i

Effects of Pharmacologically Manipulated Amplitude and Starting Point on Edinger-Westphal–Stimulated Accommodative Dynamics in Rhesus Monkeys

Lisa A. Ostrin, Adrian Glasser
2007 Investigative Ophthalmology and Visual Science  
neural and receptor activity.  ...  Changes were found in accommodative dynamics as a function of starting point and in disaccommodative dynamics as a function of amplitude and end point.  ...  It has been suggested that, in conscious humans, the accommodative neural controller may compensate for reduced speed by increasing its neural output, 33 thus maintaining or increasing the peak velocity  ... 
doi:10.1167/iovs.06-0380 pmid:17197548 pmcid:PMC2956490 fatcat:gdti75ydqre2rklv72stocefti

Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems [article]

Shagufta Henna
2021 arXiv   pre-print
The dynamics of network conditions, such as fog, dust, and sand storms compound the link switching problem and control complexity.  ...  Experimental results corroborate that the proposed DQNEnsemble-FSO/RF's consensus-learned features switching achieves better performance than Actor/Critic-FSO/RF, DQN-FSO/RF, and MyOpic for FSO/RF link  ...  Further, we also consider the performance comparison of the actor-critic agent with the MyOpic policy under complex and dynamic weather conditions.  ... 
arXiv:2108.02551v1 fatcat:5wkivfuju5hrrlls6p4inrzq6e

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks [article]

Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes, Bhaskar Krishnamachari
2018 arXiv   pre-print
space without any prior knowledge of the system dynamics.  ...  We compare the performance of DQN with a Myopic policy and a Whittle Index-based heuristic through both simulations as well as real-data trace and show that DQN achieves near-optimal performance in more  ...  In 2013, DeepMind developed a Deep Q-Network (DQN), which makes use of a deep neural network to approximate the Q-values, and it achieves human-level control in the challenging domain of classic Atari  ... 
arXiv:1802.06958v1 fatcat:67mnlftzezb5divpwfwhhnveuq

The effect of blur adaptation on accommodative response and pupil size during reading

R. Le, J. Bao, D. Chen, J. C. He, F. Lu
2010 Journal of Vision  
No significant change of baseline accommodative responses was found after the 5-min period of adaptation to the blurring lenses (p 9 0.05).  ...  The results indicate that blur adaptation has a short-term effect on the accommodative system to elevate instability of the accommodative response.  ...  of contrast levels in the visual neural system by blur adaptation.  ... 
doi:10.1167/10.14.1 pmid:21131561 fatcat:sevysgpm3zavhi7pbc56r2szbe

Rational Decision-Making in Inhibitory Control

Pradeep Shenoy, Angela J. Yu
2011 Frontiers in Human Neuroscience  
The modeling tools we utilize include Bayesian modeling, probability theory, decision theory, control theory, information theory, game theory, and dynamical systems analysis.  ...  My lab works on projects related to a range of cognitive functions, including attention, decision-making, learning, adaptation, cognitive control, and active sensing.  ...  Bayesian neural adjustment of inhibitory control predicts emergence of problem stimulant use. Brain. *Co-senior authors. Yu, A J (2014). Decision Making Tasks.  ... 
doi:10.3389/fnhum.2011.00048 pmid:21647306 pmcid:PMC3103997 fatcat:w6v6qnfl3jclxipx5qdatw7n6i

Bayes-Adaptive Deep Model-Based Policy Optimisation [article]

Tai Hoang, Ngo Anh Vien
2021 arXiv   pre-print
We show that RoMBRL outperforms existing approaches on many challenging control benchmark tasks in terms of sample complexity and task performance.  ...  The source code of this paper is also publicly available on https://github.com/thobotics/RoMBRL.  ...  We have tried to increase the number of fictitious samples of the myopic methods (BNN+MLP) to 5 times.  ... 
arXiv:2010.15948v3 fatcat:nf2m52ph5bashmiydmrmdxtmum

Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids [article]

Lei Lei, Yue Tan, Glenn Dahlenburg, Wei Xiang, Kan Zheng
2020 arXiv   pre-print
In order to deal with the instability problem of DRL algorithms and unique characteristics of finite-horizon models, two novel DRL algorithms, namely, finite-horizon deep deterministic policy gradient  ...  Moreover, the impact of uncertainties on MG performance is decoupled into two levels and evaluated respectively.  ...  In Model Predictive Control (MPC)/Receding Horizon Control (RHC), the optimal control problem for a dynamic system is considered.  ... 
arXiv:2002.02581v2 fatcat:xvptcxnu7rdapjfwpndmx72psa

Ionic control of ocular growth and refractive change

S. G. Crewther, H. Liang, B. M. Junghans, D. P. Crewther
2006 Proceedings of the National Academy of Sciences of the United States of America  
Our results are consistent with the notion of ionically driven fluid movements as the vector underlying the myopic increase in ocular size.  ...  increases in potassium, sodium, and chloride abundances in the neural retina.  ...  (b) Scanning electron micrograph of retina and choroid of a control eye.  ... 
doi:10.1073/pnas.0607241103 pmid:17023537 pmcid:PMC1622878 fatcat:fv4kw4j5m5gx5jr5pgstymjdbu

Monocular accommodation response to random defocus changes induced by a tuneable lens

Najnin Sharmin, Brian Vohnsen
2019 Vision Research  
Here, we report on monocular accommodation studies of emmetropic and myopic human subjects to clarify whether foveal vision drives accommodation in the correct direction by removing out-of-focus blur potentially  ...  Studies of eye growth in chicks have addressed whether the retina can decode the sign of defocus as this may play a role for emmetropization and possibly also accommodation.  ...  There were no marked differences between emmetropic and myopic subjects analysed in terms of the magnitude of the oscillations or temporal dynamics of the accommodation and the main differences may stem  ... 
doi:10.1016/j.visres.2019.10.002 pmid:31634733 fatcat:dvbezdrg4jbthji3ufs46hnkja
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