Article
Audiology & Speech-Language Pathology
Ewelina Tomana, Nina Haertwich, Adam Rozmarynowski, Reinhard Koenig, Patrick J. C. May, Cezary Sieluzycki
Summary: This study investigates the structure of the auditory cortex by combining computational modelling and advanced optimization methods. The optimized model reproduces experimental data and suggests that feedback connections play a significant role in shaping auditory event-related fields (ERFs).
Article
Automation & Control Systems
Pengcheng Jiang, Yu Xue, Ferrante Neri
Summary: Dropout is an effective method for training deep neural networks by deactivating some neurons to mitigate overfitting. This paper proposes a novel approach to guide the dropout rate using an evolutionary algorithm, allowing for more flexibility in training. Experimental results demonstrate that this method consistently outperforms other dropout methods, including state-of-the-art techniques.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Biochemistry & Molecular Biology
Seiji Tanabe, Jieming Fu, Jianhua Cang
Summary: The study found differences in the responses of V1 neurons in tree shrews and mice to different disparities, but similar tuning to interocular phase differences. The stimulus-dependent dissociation of disparity tuning was explained by a network model combining feedforward and recurrent connections, supported by specific cortical organizations in each species.
Article
Biology
Benjamin Fischer, Detlef Wegener
Summary: The use of epidural field potentials (EFPs) for brain signal recording allows for accurate preservation of various visual stimulus features, including location, size, shape, and color. EFPs show high specificity for different features, enabling high accuracy in stimulus classification.
COMMUNICATIONS BIOLOGY
(2021)
Article
Automation & Control Systems
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Zhichao Lu
Summary: The article proposes a new multiobjective evolutionary algorithm based on the generalization of Pareto optimality, which uses the (M-1)-GPD framework to promote both convergence and diversity. Research shows that this algorithm is competitive on various benchmark problems and outperforms other methods on three real-world problems.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Information Systems
Jinlong Zhou, Juan Zou, Shengxiang Yang, Jinhua Zheng, Dunwei Gong, Tingrui Pei
Summary: This paper proposes niche-based and angle-based selection strategies for many objective evolutionary optimization, which have been shown to be competitive and scalable to handle constrained many-objective optimization problems in experimental studies.
INFORMATION SCIENCES
(2021)
Article
Multidisciplinary Sciences
Antoine Barbot, Anasuya Das, Michael D. Melnick, Matthew R. Cavanaugh, Elisha P. Merriam, David J. Heeger, Krystel R. Huxlin
Summary: Research suggests that perceptual training can restore visual functions in patients with chronic cortically-induced blindness by recruiting residual visual functions and inducing plastic changes within the V1 region. Pre-training V1 activity predicts the recovery amount of luminance detection sensitivity, while training also alters population receptive field properties within residual V1 circuits.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Xing Chen, Aitor Morales-Gregorio, Julia Sprenger, Alexander Kleinjohann, Shashwat Sridhar, Sacha J. van Albada, Sonja Gruen, Pieter R. Roelfsema
Summary: This paper describes the method of using electrophysiological recordings to obtain a resting state dataset with high channel counts and spatiotemporal resolution. These data can be used to observe brain waves across larger regions of the cortex and reveal the background activity that influences visual information processing.
Article
Computer Science, Artificial Intelligence
Derya Deliktas, Ender Ozcan, Ozden Ustun, Orhan Torkul
Summary: The study introduces evolutionary algorithms to solve the bi-objective flexible job shop scheduling problem and compares their performance across various configurations. The transgenerational memetic algorithm using weighted sum method outperforms others and achieves the best-known results for almost all instances of bi-objective flexible job shop cell scheduling.
APPLIED SOFT COMPUTING
(2021)
Article
Management
Mariano Jimenez, Amelia Bilbao-Terol, Mar Arenas-Parra
Summary: In multi-objective optimization models, decision makers often express the relative importance of objectives through a weighting scheme. To address the issue of weights, this paper proposes a resolution method based on the Reference Point Method.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Multidisciplinary Sciences
Jose L. Herrero, Alexander Thiele
Summary: The study found that environmental context affects the perception and neuronal sensitivity to image elements in visual scenes, mediated through lateral interactions between neurons in the primary visual cortex and feedback from higher visual areas. Blocking muscarinic or nicotinic receptors reduces neuronal contrast sensitivity but does not systematically affect flanker interactions.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Artificial Intelligence
Juan Zou, Zhenghui Zhang, Jinhua Zheng, Shengxiang Yang
Summary: This paper proposes a co-guided evolutionary algorithm that combines the merits of dominance and decomposition to balance convergence and diversity in the evolutionary process. Experimental results demonstrate the superiority and versatility of this method in MaOPs.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Jan Antolik, Quentin Sabatier, Charlie Galle, Yves Fregnac, Ryad Benosman
Summary: The neural encoding of visual features in the primary visual cortex is well understood, making it a strong candidate for vision restoration through neuroprosthetics. A computational model combining a neural network model of cat V1 and a virtual prosthetic system was used to demonstrate how visual input can be transduced into tailored light-stimulation patterns to drive cortical tissue. The study showed that optogenetic stimulation can induce activity patterns in V1 similar to those evoked by normal vision, even with low spatial resolution and weak light intensity.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Blake A. Mitchell, Kacie Dougherty, Jacob A. Westerberg, Brock M. Carlson, Loic Daumail, Alexander Maier, Michele A. Cox
Summary: This study investigated how the primary visual cortex (V1) responds to concordant binocular stimulation. The results revealed that binocular stimuli evoked stronger V1 activity compared to monocular stimuli. This binocular facilitation was most proportional to the stimulus contrast during the initial transient response, but additional contrast-mediated dynamics emerged as V1 responses evolved.
Article
Computer Science, Interdisciplinary Applications
Stanley Mastrantonis, Michael D. Craig, Richard J. Hobbs, Andrew H. Grigg, Michael Renton
Summary: This article presents a novel approach for conservation prioritisation that takes into account the spatial distribution of different resources and species' movements. The study found that using these tools and models can lead to Pareto-optimal solutions that balance economic production objectives with the conservation of species' requirements and movement corridors.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Chemistry, Multidisciplinary
Carl-Magnus Svensson, Oksana Shvydkiv, Stefanie Dietrich, Lisa Mahler, Thomas Weber, Mahipal Choudhary, Miguel Tovar, Marc Thilo Figge, Martin Roth
Article
Neurosciences
Prejaas Tewarie, Romesh Abeysuriya, Aine Byrne, George C. O'Neill, Stamatios N. Sotiropoulos, Matthew J. Brookes, Stephen Coombes
Editorial Material
Multidisciplinary Sciences
Jonathan W. Peirce
ROYAL SOCIETY OPEN SCIENCE
(2019)
Article
Immunology
Gianna Hirth, Carl-Magnus Svensson, Katrin Bottcher, Steffen Ullrich, Marc Thilo Figge, Berit Jungnickel
JOURNAL OF IMMUNOLOGY
(2019)
Article
Ophthalmology
Myron Tsikandilakis, Leonie Kausel, Gonzalo Boncompte, Zhaoliang Yu, Matt Oxner, Renzo Lanfranco, Persefoni Bali, Poutasi Urale, Jonathan Peirce, Vladimir Lopez, Eddie Mun Wai Tong, Hayward William, David Carmel, Jan Derrfuss, Peter Chapman
Review
Neurosciences
Aine Byrne, Reuben D. O'Dea, Michael Forrester, James Ross, Stephen Coombes
JOURNAL OF NEUROPHYSIOLOGY
(2020)
Article
Mathematics, Applied
Yi Ming Lai, Stephen Coombes, Ruediger Thul
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2020)
Article
Computer Science, Information Systems
Andrea Campagner, Davide Ciucci, Carl-Magnus Svensson, Marc Thilo Figge, Federico Cabitza
Summary: This study examines the impact of Ground Truth quality on the performance of Machine Learning models, introducing three reduction concepts to handle this uncertainty and demonstrating that the proposed algorithms outperform state-of-the-art approaches in addressing this form of uncertainty.
INFORMATION SCIENCES
(2021)
Article
Mathematics, Applied
Mustafa Sayli, Anne C. Skeldon, Rudiger Thul, Rachel Nicks, Stephen Coombes
Summary: The two-process model introduced by Borbely has been used to explain sleep-wake regulation in various species, including humans, for the past four decades. This model represents circadian and homeostatic processes with a one-dimensional nonautonomous and nonsmooth flow, where the rate of change of homeostatic sleep pressure switches at specific times. By analyzing the underlying nonsmooth flow, this study provides an equivalent description and a more detailed understanding of the model's periodic orbits and instabilities. The authors also propose using techniques from nonsmooth dynamical systems to study networks of the two-process model, considering the continuous interactions throughout the day-night cycle.
PHYSICA D-NONLINEAR PHENOMENA
(2023)
Article
Biochemistry & Molecular Biology
Jan-Philipp Praetorius, Kassandra Walluks, Carl-Magnus Svensson, Dirk Arnold, Marc Thilo Figge
Summary: The assessment of muscle condition is crucial in various research areas. We developed an automated method using deep learning to accurately quantify the degree of intramuscular fat (IMF) in tissue sections stained with standard H & E. Our IMFSegNet network outperformed other approaches and provided fully automated and highly accurate results.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Physics, Multidisciplinary
Aytul Gokce, Stephen Coombes, Daniele Avitabile
PHYSICAL REVIEW RESEARCH
(2020)
Article
Neurosciences
Michael Forrester, Jonathan J. Crofts, Stamatios N. Sotiropoulos, Stephen Coombes, Reuben D. O'Dea
NETWORK NEUROSCIENCE
(2020)
Article
Physics, Fluids & Plasmas
James Ross, Michelle Margetts, Ingo Bojak, Rachel Nicks, Daniele Avitabile, Stephen Coombes
Article
Psychology, Mathematical
Jonathan Peirce, Jeremy R. Gray, Sol Simpson, Michael MacAskill, Richard Hoechenberger, Hiroyuki Sogo, Erik Kastman, Jonas Kristoffer Lindelov
BEHAVIOR RESEARCH METHODS
(2019)
Article
Physics, Fluids & Plasmas
Aine Byrne, Daniele Avitabile, Stephen Coombes