Biological Cybernetics最新文献

{"title":"Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis.","authors":"Michael Briden,&nbsp;Narges Norouzi","doi":"10.1007/s00422-023-00967-8","DOIUrl":"10.1007/s00422-023-00967-8","url":null,"abstract":"<p><p>We propose a subject-aware contrastive learning deep fusion neural network framework for effectively classifying subjects' confidence levels in the perception of visual stimuli. The framework, called WaveFusion, is composed of lightweight convolutional neural networks for per-lead time-frequency analysis and an attention network for integrating the lightweight modalities for final prediction. To facilitate the training of WaveFusion, we incorporate a subject-aware contrastive learning approach by taking advantage of the heterogeneity within a multi-subject electroencephalogram dataset to boost representation learning and classification accuracy. The WaveFusion framework demonstrates high accuracy in classifying confidence levels by achieving a classification accuracy of 95.7% while also identifying influential brain regions.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":" ","pages":"363-372"},"PeriodicalIF":1.9,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10106597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Teaching Method In Writing Descriptive Text (A Descriptive Study at the Seventh Grade Students of Thammislam Foundation School Academic Year 2023)","authors":"Fahri Akbar, Pirman Ginting","doi":"10.51178/cjerss.v4i3.1521","DOIUrl":"https://doi.org/10.51178/cjerss.v4i3.1521","url":null,"abstract":"&#x0D; &#x0D; &#x0D; &#x0D; This study investigates the instructional approach English teachers employ in teaching descriptive writing to seventh-grade students at Thammislam Foundation School during the Academic Year 2023. What challenges does the English teacher encounter when instructing seventh-grade students at Thammislam Foundation School during the Academic Year 2023 in the area of writing descriptive texts? The research objectives are categorized into three distinct areas: writing, descriptive text, and the instructional methods employed by English teachers. The present study employed a descriptive qualitative research design. The researcher assumed the role of a non-participant observer. The researcher conducted three observations in a seventh-grade classroom and interviewed with an English teacher to gather information about the instructional methods employed in teaching descriptive writing. The observed population comprises 28 students enrolled in the seventh grade at Thammislam Foundation School during the academic year of 2023. The data collection instruments employed in this study encompassed observation, interviews, and the examination of relevant study documents, including modules, student worksheets, and curriculum materials. The researcher employed a three-step process to analyze the data. The three main components of the research process include data reduction, data display, and conclusion verification. Researchers employ triangulation as a means to enhance the trustworthiness of the data. The research findings indicate that the activities conducted by the teacher during the initial and subsequent meetings were consistent with the principles and framework of task-based language teaching. Implementing task-based language teaching in a classroom typically involves three distinct stages: the pre-task stage, the task cycle, and the language focus stage. The challenges encountered by the student included a limited vocabulary and a need for more proficiency in selecting appropriate verbs for constructing sentences. The instructor assigned exercises to enhance the students' vocabulary and proficiency in selecting the appropriate verb for each sentence. The models used for the tasks were evaluated based on their ability to match the given criteria accurately. In addition, the instructor employed a systematic approach to facilitate comprehension among the students, particularly in the context of composing descriptive texts.&#x0D; &#x0D; &#x0D; &#x0D;","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135255768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Communication Barriers Between EFL Indonesian Teachers and EFL Learners in Thammislam Foundation School, Thailand","authors":"Viga Kumala, Pirman Ginting","doi":"10.51178/cjerss.v4i3.1508","DOIUrl":"https://doi.org/10.51178/cjerss.v4i3.1508","url":null,"abstract":"English communication barriers are a circumstance that EFL learners frequently experience. This problem is not limited to situations, people and time. The educational field is not an exception, furthermore, here is where the basis for English language learning for EFL students is formed. Lack of communication is nothing new felt by both sides. In regard to that topic, this research presents the communication barrier issue, which the writer, an EFL teacher, observed and encountered toward EFL learners when carrying out teaching and learning activities at Thammislam Foundation School in Thailand. This study aims to identify the various categories of issues that arise when interacting using English and to provide solutions or suggestions to these problems which are expected to help in the future event. The data of this study were collected in two ways, using a questionnaire and doing an interview with a total of 13 participants. The result indicates that the Disinterest factor shows up as the highest that caused communication barriers with a percentage of 22.3% while the Sosio-attitudinal factor is the lowest with a percentage of 19%.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"861 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134972044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-organizing maps on \"what-where\" codes towards fully unsupervised classification.","authors":"Luis Sa-Couto,&nbsp;Andreas Wichert","doi":"10.1007/s00422-023-00963-y","DOIUrl":"https://doi.org/10.1007/s00422-023-00963-y","url":null,"abstract":"<p><p>Interest in unsupervised learning architectures has been rising. Besides being biologically unnatural, it is costly to depend on large labeled data sets to get a well-performing classification system. Therefore, both the deep learning community and the more biologically-inspired models community have focused on proposing unsupervised techniques that can produce adequate hidden representations which can then be fed to a simpler supervised classifier. Despite great success with this approach, an ultimate dependence on a supervised model remains, which forces the number of classes to be known beforehand, and makes the system depend on labels to extract concepts. To overcome this limitation, recent work has been proposed that shows how a self-organizing map (SOM) can be used as a completely unsupervised classifier. However, to achieve success it required deep learning techniques to generate high quality embeddings. The purpose of this work is to show that we can use our previously proposed What-Where encoder in tandem with the SOM to get an end-to-end unsupervised system that is Hebbian. Such system, requires no labels to train nor does it require knowledge of which classes exist beforehand. It can be trained online and adapt to new classes that may emerge. As in the original work, we use the MNIST data set to run an experimental analysis and verify that the system achieves similar accuracies to the best ones reported thus far. Furthermore, we extend the analysis to the more difficult Fashion-MNIST problem and conclude that the system still performs.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 3","pages":"211-220"},"PeriodicalIF":1.9,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258173/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9616983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How aggressive interactions with biomimetic agents optimize reproductive performances in mass-reared males of the Mediterranean fruit fly.","authors":"Donato Romano,&nbsp;Giovanni Benelli,&nbsp;Cesare Stefanini","doi":"10.1007/s00422-023-00965-w","DOIUrl":"https://doi.org/10.1007/s00422-023-00965-w","url":null,"abstract":"<p><p>Mass-rearing procedures of insect species, often used in biological control and Sterile Insect Technique, can reduce the insects competitiveness in foraging, dispersal, and mating. The evocation of certain behaviours responsible to induce specific neuroendocrine products may restore or improve the competitiveness of mass-reared individuals. Herein, we used a mass-reared strain of Ceratitis capitata as model organism. C. capitata is a polyphagous pest exhibiting territorial displays that are closely related to its reproductive performance. We tested if the behaviour of C. capitata males could be altered by hybrid aggressive interactions with a conspecific-mimicking robotic fly, leading to more competitive individuals in subsequent mating events. Aggressive interactions with the robotic fly had a notable effect on subsequent courtship and mating sequences of males that performed longer courtship displays compared to naïve individuals. Furthermore, previous interactions with the robotic fly produced a higher mating success of males. Reproductive performances of C. capitata males may be improved by specific octopaminergic neurones activated during previous aggressive interactions with the robotic fly. This study adds fundamental knowledge on the potential role of specific neuro-behavioural processes in the ecology of tephritid species and paves the way to innovative biotechnological control methods based on robotics and bionics.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 3","pages":"249-258"},"PeriodicalIF":1.9,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258181/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9679434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<ArticleTitle xmlns:ns0=\"http://www.w3.org/1998/Math/MathML\">Mixed <ns0:math>\u0000 <ns0:mi>μ</ns0:mi>\u0000</ns0:math>-synthesis tracking control and disturbance rejection in a robotic digit of an impaired human hand for anthropomorphic coordination.","authors":"Maryam Iqbal, Junaid Imtiaz, Asif Mahmood Mughal","doi":"10.1007/s00422-023-00964-x","DOIUrl":"10.1007/s00422-023-00964-x","url":null,"abstract":"<p><p>In a partially impaired anthropomorphic hand, maintaining the movement coordination of the robotic digits with the central nervous system (CNS) and natural digits is crucial for robust performance. A challenge in the control perspective of movement coordination of a human hand is finding methods robust to the disturbances in a well-posed control problem of a biomechanical model. We use visco-elastic dynamics in the human palm frame of reference to explore the biomechanics of movement coordination to solve this control problem. Our biomechanical model incorporates the time delay due to actuation force, parametric uncertainty, exogenous disturbances, and sensory noise to constitute a 21-degree of freedom model. A mixed <math>\u0000 <mi>μ</mi>\u0000</math>-synthesis controller, considering the real parametric uncertainty, represents the CNS in the control paradigm. We consider the robotic finger's flexion movement when perturbed from the initial equilibrium. The controller provides feedback force at the joints to regulate the robotic finger movement. The index finger follows a reference trajectory of the joint angular position profile and stabilizes at a flexion angle of 1 rad/s at a time of 1 s. The main control objective is to keep the angular displacement of the finger joint constant when a disturbance force acts. We simulate the modeling scheme in MATLAB/ Simulink. The results demonstrate that our controller scheme is robust against the worst-case disturbance and achieves the desired performance value. Developing a biologically inspired neurophysiological controller with robust performance has many applications, including assistive rehabilitation devices, hand movement disorder diagnosis, and robotic manipulators.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 3","pages":"221-247"},"PeriodicalIF":1.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9981297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validating models of sensory conflict and perception for motion sickness prediction.","authors":"Tugrul Irmak,&nbsp;Daan M Pool,&nbsp;Ksander N de Winkel,&nbsp;Riender Happee","doi":"10.1007/s00422-023-00959-8","DOIUrl":"https://doi.org/10.1007/s00422-023-00959-8","url":null,"abstract":"<p><p>The human motion perception system has long been linked to motion sickness through state estimation conflict terms. However, to date, the extent to which available perception models are able to predict motion sickness, or which of the employed perceptual mechanisms are of most relevance to sickness prediction, has not been studied. In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not optimally match motion sickness data. Two additional mechanisms that may enable better future predictive models of sickness have, however, been identified. Firstly, active estimation of the magnitude of gravity appears to be instrumental for predicting motion sickness induced by vertical accelerations. Secondly, the model analysis showed that the influence of the semicircular canals on the somatogravic effect may explain the differences in the dynamics observed for motion sickness induced by vertical and horizontal plane accelerations.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 3","pages":"185-209"},"PeriodicalIF":1.9,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9980139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-dimensional models of single neurons: a review.","authors":"Ulises Chialva,&nbsp;Vicente González Boscá,&nbsp;Horacio G Rotstein","doi":"10.1007/s00422-023-00960-1","DOIUrl":"https://doi.org/10.1007/s00422-023-00960-1","url":null,"abstract":"<p><p>The classical Hodgkin-Huxley (HH) point-neuron model of action potential generation is four-dimensional. It consists of four ordinary differential equations describing the dynamics of the membrane potential and three gating variables associated to a transient sodium and a delayed-rectifier potassium ionic currents. Conductance-based models of HH type are higher-dimensional extensions of the classical HH model. They include a number of supplementary state variables associated with other ionic current types, and are able to describe additional phenomena such as subthreshold oscillations, mixed-mode oscillations (subthreshold oscillations interspersed with spikes), clustering and bursting. In this manuscript we discuss biophysically plausible and phenomenological reduced models that preserve the biophysical and/or dynamic description of models of HH type and the ability to produce complex phenomena, but the number of effective dimensions (state variables) is lower. We describe several representative models. We also describe systematic and heuristic methods of deriving reduced models from models of HH type.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 3","pages":"163-183"},"PeriodicalIF":1.9,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9980159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Approaching object acceleration differentially affects the predictions of neuronal collision avoidance models.","authors":"Fabrizio Gabbiani, Thomas Preuss, Richard B Dewell","doi":"10.1007/s00422-023-00961-0","DOIUrl":"10.1007/s00422-023-00961-0","url":null,"abstract":"<p><p>The processing of visual information for collision avoidance has been investigated at the biophysical level in several model systems. In grasshoppers, the (so-called) [Formula: see text] model captures reasonably well the visual processing performed by an identified neuron called the lobular giant movement detector as it tracks approaching objects. Similar phenomenological models have been used to describe either the firing rate or the membrane potential of neurons responsible for visually guided collision avoidance in other animals. Specifically, in goldfish, the [Formula: see text] model has been proposed to describe the Mauthner cell, an identified neuron involved in startle escape responses. In the vinegar fly, a third model was developed for the giant fiber neuron, which triggers last resort escapes immediately before an impending collision. One key property of these models is their prediction that peak neuronal responses occur at a fixed delay after the simulated approaching object reaches a threshold angular size on the retina. This prediction is valid for simulated objects approaching at a constant speed. We tested whether it remains valid when approaching objects accelerate. After characterizing and comparing the models' responses to accelerating and constant speed stimuli, we find that the prediction holds true for the [Formula: see text] and the giant fiber model, but not for the [Formula: see text] model. These results suggest that acceleration in the approach trajectory of an object may help distinguish and further constrain the neuronal computations required for collision avoidance in grasshoppers, fish and vinegar flies.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 1-2","pages":"129-142"},"PeriodicalIF":1.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314993/pdf/nihms-1907108.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9741244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison between an exact and a heuristic neural mass model with second-order synapses.","authors":"Pau Clusella,&nbsp;Elif Köksal-Ersöz,&nbsp;Jordi Garcia-Ojalvo,&nbsp;Giulio Ruffini","doi":"10.1007/s00422-022-00952-7","DOIUrl":"https://doi.org/10.1007/s00422-022-00952-7","url":null,"abstract":"<p><p>Neural mass models (NMMs) are designed to reproduce the collective dynamics of neuronal populations. A common framework for NMMs assumes heuristically that the output firing rate of a neural population can be described by a static nonlinear transfer function (NMM1). However, a recent exact mean-field theory for quadratic integrate-and-fire (QIF) neurons challenges this view by showing that the mean firing rate is not a static function of the neuronal state but follows two coupled nonlinear differential equations (NMM2). Here we analyze and compare these two descriptions in the presence of second-order synaptic dynamics. First, we derive the mathematical equivalence between the two models in the infinitely slow synapse limit, i.e., we show that NMM1 is an approximation of NMM2 in this regime. Next, we evaluate the applicability of this limit in the context of realistic physiological parameter values by analyzing the dynamics of models with inhibitory or excitatory synapses. We show that NMM1 fails to reproduce important dynamical features of the exact model, such as the self-sustained oscillations of an inhibitory interneuron QIF network. Furthermore, in the exact model but not in the limit one, stimulation of a pyramidal cell population induces resonant oscillatory activity whose peak frequency and amplitude increase with the self-coupling gain and the external excitatory input. This may play a role in the enhanced response of densely connected networks to weak uniform inputs, such as the electric fields produced by noninvasive brain stimulation.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"117 1-2","pages":"5-19"},"PeriodicalIF":1.9,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9559448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}