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Multidisciplinary Sciences
Johannes M. Kappel, Dominique Foerster, Katja Slangewal, Inbal Shainer, Fabian Svara, Joseph C. Donovan, Shachar Sherman, Michal Januszewski, Herwig Baier, Johannes Larsch
Summary: This research investigates the neural circuits underlying social affiliation in zebrafish. The study reveals that the dorsal thalamus nucleus plays a crucial role in social attraction, while the optic tectum is responsible for conspecific recognition. This neural circuit is essential for collective behavior.
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Physics, Multidisciplinary
Christopher Tyler Diggans, Abd AlRahman R. AlMomani
Summary: Entropy is redefined as a quantification of ignorance in the predictability of a one dimensional continuous phenomenon. The approach considers the sampled data set as observations of microstates, allowing the definition of macrostates using quantiles and the calculation of ignorance density distribution based on distances between quantiles. The geometric partition entropy is then derived as the Shannon entropy of this finite distribution.
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Engineering, Electrical & Electronic
Hikmat Y. Darawsheh, Andrzej Tarczynski
Summary: This paper presents a novel approach to signal filtering using digital alias-free signal processing (DASP). An unbiased, fast-converging estimator of the output of a finite impulse response (FIR) continuous-time filter is proposed, which processes 2N signal samples collected with a random antithetical stratified (AnSt) sampling technique. The convergence rate of the estimator is assessed as a function of N, with different forms of smoothness of the input signal, filter impulse response, and windowing function considered.
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Neurosciences
Nikhil Rathi, Rajesh Singla, Sheela Tiwari
Summary: This study proposes a brain signal based authentication system that effectively recognizes users by analyzing unique brain signal features in response to pictures of different objects. The study focuses on P300 BCI for system design and tests three classifiers, showing significantly higher classification accuracies and information transfer rates with visual stimuli compared to conventional paradigms, with QDA classifier performing the best.
COGNITIVE NEURODYNAMICS
(2021)
Article
Engineering, Electrical & Electronic
Ariel Kroizer, Tirza Routtenberg, Yonina C. Eldar
Summary: This paper proposes a graph signal processing framework for recovering random graph signals from nonlinear measurements. The framework includes a graph filter-based estimator that minimizes the mean-squared-error among estimators and conditions under which it coincides with the optimal estimator. An approximate parametrization of the estimator using graph filters is also developed, which enhances robustness to outliers and network topology changes. The proposed estimators outperform traditional methods in simulations of power system state estimation, demonstrating their effectiveness.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Neurosciences
Xiaolin Xiao, Runyuan Gao, Xiaoyu Zhou, Weibo Yi, Fangzhou Xu, Kun Wang, Minpeng Xu, Dong Ming
Summary: Traditional visual Brain-Computer Interfaces (v-BCIs) often use large-size stimuli to elicit distinct EEG responses, but this can cause visual fatigue and limit system usage. This study presents a novel v-BCI paradigm using weak and small stimuli, achieving high performance and great potential for various applications.
FRONTIERS IN NEUROSCIENCE
(2023)
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Computer Science, Information Systems
Changkai Tong, Huali Wang, Jun Cai
Summary: The rapid development of brain-computer interfaces (BCIs) has been observed in the past decade. The contradiction between communication rates and tedious training processes is one of the major barriers in the application of SSVEP-based BCIs. This study proposes a turbo detector that uses FBCCA as the first-stage detector and utilizes soft information and identified data pool to improve performance.
Article
Physiology
Xiaozheng Zhang, Chenxi Yang, Zhengyu Xiao, Binbin Lu, Ji Zhang, Jianqing Li, Chengyu Liu
Summary: This paper proposes a target range bin selection algorithm based on a mixed-modal information threshold, which is used to accurately select the range bin containing the cardiopulmonary signal in cluttered environments. The algorithm determines the state of the target by introducing a confidence value in the frequency domain and the range bin change status of the target by using the range bin variance in the time domain. Experimental results demonstrate that the proposed method achieves better accuracy in cardiopulmonary signal rate estimation.
FRONTIERS IN PHYSIOLOGY
(2023)
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Engineering, Biomedical
Chuang Lin, Xingjian Chen, Weiyu Guo, Ning Jiang, Dario Farina, Jingyong Su
Summary: In this study, we propose a method based on the BERT structure to predict hand movements from sEMG signals. Our method achieved excellent performance in both within-subject and cross-subject evaluations.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Neurosciences
Justus V. Verhagen, Keeley L. Baker, Ganesh Vasan, Vincent A. Pieribone, Edmund T. Rolls
Summary: To understand how information is encoded in the olfactory bulb, the authors used Shannon information theoretic methods to analyze signals from multiple glomeruli in response to six chemical odors. They found that the tuning of these signals is broad, contributing to the low amount of information available from even populations of many glomeruli. The temporal aspects of the glomerular responses also provided limited information, and the information from the lateral olfactory bulb was not additive with that of the dorsal olfactory bulb.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Computer Science, Information Systems
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine De Ribaupierre, Nariman Farsad
Summary: We propose a hybrid model-based data-driven seizure detection algorithm called MICAL, which utilizes neural MI estimators, 1D CNN, and factor graph inference to improve the detection of seizures from EEG signals. The method successfully captures inter-channel statistical dependence and temporal correlation, leading to state-of-the-art performance.
Article
Engineering, Electrical & Electronic
Chih-Ta Yen, Jia-Xian Liao, Yi-Kai Huang
Summary: In this paper, a continuous physiological parameter estimation model based on a deep learning network for photoplethysmography (PPG) sensor signals was proposed. The model was able to accurately and continuously monitor the blood pressure (BP) and heart rate (HR) of individuals.
IEEE SENSORS JOURNAL
(2022)
Article
Physics, Fluids & Plasmas
Miranda C. R. Bell-Davies, Arran Curran, Yanyan Liu, Roel P. A. Dullens
Summary: In this study, we investigate the dynamics of a colloidal dumbbell particle in a repulsive optical trap controlled by a continuous-time-delayed feedback protocol. The system exhibits a transition from diffusive to driven behavior at a critical delay time, similar to the behavior of an active Brownian particle. By modeling the dynamics using stochastic delay differential equations, we derive a condition for stable driven motion. Furthermore, we study the stochastic thermodynamic properties of the system and find that the maximum work done by the trap coincides with a local minimum in the mutual information between the trap and the particle position at the onset of stable driven dynamics.
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Engineering, Electrical & Electronic
Cristina RuedaSabater, Alejandro Rodriguez-Collado, Yolanda Larriba
Summary: This paper introduces a novel signal decomposition method to address the complexity of parameter adjustment and noise limitations in simulating oscillatory systems. The method demonstrates practical utility in analyzing signals in neuroscience.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Forestry
John Paul McTague, Henrique Ferraco Scolforo, Jose Roberto S. Scolforo
Summary: A new estimator based on projected yields is introduced for Continuous Forest Inventory (CFI), which can be applied to different types of forests and allows for partial replacement estimation and stratified sampling.
FOREST ECOLOGY AND MANAGEMENT
(2022)
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Behavioral Sciences
Anna Honkanen, Paulus Saari, Jouni Takalo, Kyosti Heimonen, Matti Weckstrom
JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY
(2018)
Article
Neurosciences
Irina I. Ignatova, Andrew S. French, Roman Frolov
JOURNAL OF NEUROPHYSIOLOGY
(2018)
Article
Physiology
Jussi T. Koivumaki, Nikolay Naumenko, Tomi Tuomainen, Jouni Takalo, Minna Oksanen, Katja A. Puttonen, Sarka Lehtonen, Johanna Kuusisto, Markku Laakso, Jari Koistinaho, Pasi Tavi
FRONTIERS IN PHYSIOLOGY
(2018)
Article
Computer Science, Cybernetics
Irina Ignatova, Andrew S. French, Esa-Ville Immonen, Roman Frolov, Matti Weckstrom
BIOLOGICAL CYBERNETICS
(2014)
Article
Biology
Esa-Ville Immonen, Irina Ignatova, Anna Gislen, Eric Warrant, Mikko Vahasoyrinki, Matti Weckstrom, Roman Frolov
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2014)
Article
Multidisciplinary Sciences
Jouni Takalo, Arto Piironen, Anna Honkanen, Mikko Lempea, Mika Aikio, Tuomas Tuukkanen, Mikko Vahasoyrinki
SCIENTIFIC REPORTS
(2012)
Article
Neurosciences
Irina I. Ignatova, Paulus Saari, Roman Frolov
JOURNAL OF NEUROPHYSIOLOGY
(2020)
Article
Behavioral Sciences
Roman V. Frolov, Irina I. Ignatova
JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY
(2020)
Article
Behavioral Sciences
Irina I. Ignatova, Andrew S. French, Paivi H. Torkkeli, Hongxia Liu, Roman V. Frolov
JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY
(2020)
Article
Biochemical Research Methods
Roman V. Frolov, Irina I. Ignatova
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Neurosciences
Irina I. Ignatova, Roman Frolov
Summary: By studying the activity of photoreceptors in blow flies, hover flies, and cockroaches, this research discovered three distinct mechanisms of light adaptation. In blow flies, one mechanism speeds up the onset of quantum bumps, while another mechanism accelerates their inactivation, resulting in a decrease in size. In cockroaches, the amplitude of quantum bumps decreases without changes in kinetics, indicating a reduction in the availability of transduction channels. These findings indicate the existence of different light adaptation mechanisms in the microvilli of different species.
JOURNAL OF NEUROPHYSIOLOGY
(2022)
Article
Behavioral Sciences
Roman Frolov, Irina Severina, Ekaterina Novikova, Irina I. Ignatova, Hongxia Liu, Marianna Zhukovskaya, Paivi H. Torkkeli, Andrew S. French
Summary: Photoreceptors with different spectral sensitivities exhibit differences in phototransduction dynamics, which are likely related to their distinct physiological and behavioral roles. In this study, cockroach photoreceptors with broad green sensitivity and ultraviolet sensitivity were investigated. The broadband photoreceptors displayed shorter latencies, higher amplitudes, and shorter durations in response to light stimuli. Knockdown of specific opsins led to decreased absolute sensitivities and increased latencies in the photoreceptors. These results differ from previous findings in other organisms, suggesting species-specific differences in phototransduction mechanisms.
JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY
(2022)
Article
Biology
Irina Ignatova, Roman Frolov, Soile Nymark
Summary: Recent studies have found voltage-activated Na+ channels in the retinal pigment epithelium (RPE), which are important for the phagocytosis of photoreceptor outer segments and maintaining retinal homeostasis.
Article
Neurosciences
Irina I. Ignatova, Ilkka Miinalainen, Roman Frolov
Summary: The studies on hover fly Volucella pellucens reveal that photoreceptors from the frontal-dorsal region of the retina exhibit superior temporal resolution and information rates, potentially due to differences in quantum bump properties and absolute sensitivity. Additionally, the photoreceptors from the frontal-dorsal region show deeper adaptation to light, leading to higher light response corner frequencies.
VISUAL NEUROSCIENCE
(2021)