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Journal articles on the topic 'Functional Pruning'

Author: Grafiati

Published: 2 November 2024

Last updated: 31 July 2025

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1

SHAMIR, N., D. SAAD, and E. MAROM. "NEURAL NET PRUNING BASED ON FUNCTIONAL BEHAVIOR OF NEURONS." International Journal of Neural Systems 04, no. 02 (1993): 143–58. http://dx.doi.org/10.1142/s0129065793000134.

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This paper proposes a new pruning method based on merging neurons with similar functional behavior which is defined by the internal representations of each neuron for the entire training set. Classification of neurons by their functional behavior with respect to the input vectors provides a powerful tool for pruning neurons and connections, thus reducing the network complexity and increasing its generalization capability. The most remarkable property of this pruning scheme is its ability to preserve net functionality by transferring the role of every removed neuron to the most fitted neuron of

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2

Elston, G. N., T. Oga, and I. Fujita. "Spinogenesis and Pruning Scales across Functional Hierarchies." Journal of Neuroscience 29, no. 10 (2009): 3271–75. http://dx.doi.org/10.1523/jneurosci.5216-08.2009.

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Iwasaki, Hideya, Takeshi Morimoto, and Yasunao Takano. "Pruning with improving sequences in lazy functional programs." Higher-Order and Symbolic Computation 24, no. 4 (2011): 281–309. http://dx.doi.org/10.1007/s10990-012-9086-3.

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Lugaresi, Adriana, Cristiano André Steffens, Angélica Schmitz Heinzen, et al. "The influence of the summer pruning on ‘Fuji’ apples storage under controlled atmosphere." Acta Scientiarum. Agronomy 46, no. 1 (2023): e63557. http://dx.doi.org/10.4025/actasciagron.v46i1.63557.

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This study aimed to evaluate the effect of the summer pruning time in ‘Fuji’ apple trees on the quality of fruit at harvest and after storage in controlled atmosphere with extremely low O2 (CA-ELO) (0.5 kPa O2). The treatments evaluated were summer pruning in December, January, and February, in addition to a control treatment (without summer pruning). The experiment was carried out in the 2018/2019 and 2019/2020 growing seasons. The fruit were evaluated at harvest and after eight months of CA-ELO (0.5 kPa O2 + <0.5 kPa CO2/1.5 ± 0.2°C/92 ± 2% RH) storage, at chamber opening, and after 7 day

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Zhang, Qi, Ying Zhang, Pengyao Miao, et al. "Effects of Pruning on Tea Tree Growth, Soil Enzyme Activity and Microbial Diversity." Agronomy 13, no. 5 (2023): 1214. http://dx.doi.org/10.3390/agronomy13051214.

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In order to investigate the effect of pruning on the soil environment in which tea trees grow and the growth of tea trees, this study used Wuyi Meizhan (Camellia sinensis) as a research object and measured its growth indexes, soil physicochemical indexes, soil enzyme activity and microbial functional diversity to analyze the effects of pruning treatments on the growth of tea trees, soil enzyme activity and soil microbial functional diversity and the correlation between them. The results of the analysis of tea tree growth indexes showed that the hundred-bud weight, leaf area and yield in the pr

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Li, J., J. Liu, H. Toivonen, and J. Yong. "Effective Pruning for the Discovery of Conditional Functional Dependencies." Computer Journal 56, no. 3 (2012): 378–92. http://dx.doi.org/10.1093/comjnl/bxs082.

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Low, Lawrence K., and Hwai-Jong Cheng. "Axon pruning: an essential step underlying the developmental plasticity of neuronal connections." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1473 (2006): 1531–44. http://dx.doi.org/10.1098/rstb.2006.1883.

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Regressive events play a key role in modifying neural connectivity in early development. An important regressive event is the pruning of neuronal processes. Pruning is a strategy often used to selectively remove exuberant neuronal branches and connections in the immature nervous system to ensure the proper formation of functional circuitry. In the following review, we discuss our present understanding of the cellular and molecular mechanisms that regulate the pruning of axons during neuronal development as well as in neurological diseases. The evidence suggests that there are several similarit

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Leporini, Mariarosaria, Rosa Tundis, Vincenzo Sicari, and Monica Rosa Loizzo. "Citrus species: Modern functional food and nutraceutical-based product ingredient." Italian Journal of Food Science 33, no. 2 (2021): 63–107. http://dx.doi.org/10.15586/ijfs.v33i2.2009.

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Citrus is the most cultivated fruit crop in the world and occupies a place of considerable importance in the country’s economy. Almost 33% of the citrus fruits are processed for juice production; however, a great amount of wastes, including peels, segment membranes, and seeds are also produced. Indeed, citrus fruits consist of 45% juice, 26% pulp, 27% peels, and 2% seeds. Pruning, a cultural practice involving the removal of tree branches and limbs, was applied to improve fruit’s quality. A large amount of leaves are produced through pruning. These agri-food matrices contain a wide range of bi

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Mäkelä, Annikki. "A Carbon Balance Model of Growth and Self-Pruning in Trees Based on Structural Relationships." Forest Science 43, no. 1 (1997): 7–24. http://dx.doi.org/10.1093/forestscience/43.1.7.

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Abstract A tree growth model is formulated based on structural relationships in a carbon balance framework. Three relationships are applied: (1) an allometric relationship between crown surface area and foliage area, (2) the principle of functional balance, and (3) the pipe-model theory. These assumptions lead to a model where the sizes of the functional parts of the tree are derivable from foliage weight, except for the pruning height of the crown. This is determined by defining a "self-pruning coefficient," which controls the allocation of growth between height growth and foliage growth. The

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Sun, Xiaochuan, Yu Wang, Mingxiang Hao, Yingqi Li, and Tianyu Huang. "Reservoir structure optimization of echo state networks: A detrended multiple cross-correlation pruning perspective." Journal of Intelligent & Fuzzy Systems 46, no. 5-6 (2024): 11263–75. http://dx.doi.org/10.3233/jifs-233605.

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Reservoir structure optimization of echo state networks (ESN) is an important enabler for improving network performance. In this regard, pruning provides an effective means to optimize reservoir structure by removing redundant components in the network. Existing studies achieve reservoir pruning by removing insignificant neuronal connections. However, such processing causes the optimized neurons to still remain in the reservoir and thus hinder network inference by participating in computations, leading to suboptimal utilization of pruning benefits by the network. To solve this problem, this pa

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Hoffman, Ralph E. "Studies of synaptic elimination identify an intersection of neurocomputational and neurodevelopmental perspectives." Behavioral and Brain Sciences 23, no. 4 (2000): 543–44. http://dx.doi.org/10.1017/s0140525x00343369.

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In order to reach a better understanding of brain function, conceptual synergies linking empirical neurobiological studies and neurocomputational studies should be pursued. I describe an example of a potential synergy based on studies of neural network pruning. Simulations demonstrate that selective elimination of connections enhances the computational capacity of networks capable of temporal processing. These findings may shed light on the functional significance of postnatal neuro-developmental pruning of cortical connections that occurs in mammals.

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Gebresenbet, Girma, Techane Bosona, Sven-Olof Olsson, and Daniel Garcia. "Smart System for the Optimization of Logistics Performance of the Pruning Biomass Value Chain." Applied Sciences 8, no. 7 (2018): 1162. http://dx.doi.org/10.3390/app8071162.

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Agricultural pruning biomass is one of the important resources in Europe for generating renewable energy. However, utilization of the agricultural residues requires development of efficient and effective logistics systems. The objective of this study was to develop smart logistics system (SLS) appropriate for the management of the pruning biomass supply chain. The paper describes the users’ requirement of SLS, defines the technical and functional requirements and specifications for the development of SLS, and determines relevant information/data to be documented and managed by the SLS. This SL

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Qian Xiao, Yongquan Zhou, and Peigang Guo. "A Pruning Algorithm Based on The Complexity of Functional Network." International Journal of Digital Content Technology and its Applications 6, no. 20 (2012): 510–17. http://dx.doi.org/10.4156/jdcta.vol6.issue20.55.

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Pries, Axel R., and Timothy W. Secomb. "Making Microvascular Networks Work: Angiogenesis, Remodeling, and Pruning." Physiology 29, no. 6 (2014): 446–55. http://dx.doi.org/10.1152/physiol.00012.2014.

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The adequate and efficient functioning of the microcirculation requires not only numerous vessels providing a large surface area for transport but also a structure that provides short diffusion distances from capillaries to tissue and efficient distribution of convective blood flow. Theoretical models show how a combination of angiogenesis, remodeling, and pruning in response to hemodynamic and metabolic stimuli, termed “angioadaptation,” generates well organized, functional networks.

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Martinez-Ferreiro, Silvia. "The Cartography of Ibero-Romance Agrammatic Deficits." Biolinguistics 4, no. 4 (2010): 324–55. http://dx.doi.org/10.5964/bioling.8805.

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This paper aims at examining whether grammatical errors produced by Broca’s aphasics are a consequence of a selective impairment of functional categories in three closely related Ibero-Romance languages — Catalan, Galician, and Spanish — for which almost no work had hitherto been done. In addition, a reinterpretation will be proposed under cartographical terms (Cinque 1999, 2002, 2006, Belletti 2004, Rizzi 2004) of previous structural neurolinguistic models of agrammatic production, more specifically the Tree-Pruning Hypothesis (Friedmann 1994, Friedmann & Grodzinsky 1997, and subsequent w

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Kowaluk, Grzegorz, Karol Szymanowski, Piotr Kozlowski, et al. "Functional Assessment of Particleboards Made of Apple and Plum Orchard Pruning." Waste and Biomass Valorization 11, no. 6 (2019): 2877–86. http://dx.doi.org/10.1007/s12649-018-00568-8.

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Khamidah, Aniswatul, W. Syafitri, H. Handoko, et al. "Utilization of pruning leaves of coffee plants as a functional drink." IOP Conference Series: Earth and Environmental Science 1177, no. 1 (2023): 012043. http://dx.doi.org/10.1088/1755-1315/1177/1/012043.

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Abstract Pruning at coffee plants is very important to maintain productivity, growing optimal, healthy and continuous. During pruning, a lot of coffee leaves are wasted whereas coffee leaves contain bioactive compounds that can be used as a drink that tastes almost like coffee beans. The purpose of this research is to determine the influence of the type of leaf (location of the leaf on the branch) and the processing technique on the resulting coffee leaf drink. This research was conducted at Trenggalek from April to May 2020. This research used a factorial Randomized Block Design, with 2 facto

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Lee, Woosuk, and Hangyeol Cho. "Inductive Synthesis of Structurally Recursive Functional Programs from Non-recursive Expressions." Proceedings of the ACM on Programming Languages 7, POPL (2023): 2048–78. http://dx.doi.org/10.1145/3571263.

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We present a novel approach to synthesizing recursive functional programs from input-output examples. Synthesizing a recursive function is challenging because recursive subexpressions should be constructed while the target function has not been fully defined yet. We address this challenge by using a new technique we call block-based pruning. A block refers to a recursion- and conditional-free expression (i.e., straight-line code) that yields an output from a particular input. We first synthesize as many blocks as possible for each input-output example, and then we explore the space of recursiv

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Andoh, Megumi, Yuji Ikegaya, and Ryuta Koyama. "Synaptic Pruning by Microglia in Epilepsy." Journal of Clinical Medicine 8, no. 12 (2019): 2170. http://dx.doi.org/10.3390/jcm8122170.

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Structural and functional collapse of the balance between excitatory (E) and inhibitory (I) synapses, i.e., synaptic E/I balance, underlies the pathogeneses of various central nervous system (CNS) disorders. In epilepsy, the synaptic E/I balance tips toward excitation; thus, most of the existing epileptic remedies have focused on how to directly suppress the activity of neurons. However, because as many as 30% of patients with epilepsy are drug resistant, the discovery of new therapeutic targets is strongly desired. Recently, the roles of glial cells in epilepsy have gained attention because g

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Lin, Yu-Chen, Chia-Hung Wang, and Yu-Cheng Lin. "GAT TransPruning: progressive channel pruning strategy combining graph attention network and transformer." PeerJ Computer Science 10 (April 23, 2024): e2012. http://dx.doi.org/10.7717/peerj-cs.2012.

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Recently, large-scale artificial intelligence models with billions of parameters have achieved good results in experiments, but their practical deployment on edge computing platforms is often subject to many constraints because of their resource requirements. These models require powerful computing platforms with a high memory capacity to store and process the numerous parameters and activations, which makes it challenging to deploy these large-scale models directly. Therefore, model compression techniques are crucial role in making these models more practical and accessible. In this article,

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Reggi, Serena, Sara Frazzini, Eleonora Fusi, et al. "Biochar’s Adsorption of Escherichia coli and Probiotics Lactiplantibacillus plantarum and Limosilactobacillus reuteri and Its Impact on Bacterial Growth Post In Vitro Digestion." Applied Sciences 15, no. 9 (2025): 5090. https://doi.org/10.3390/app15095090.

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Background: Biochar has gained increasing attention for its potential benefits in improving animal health. Its physical and chemical properties depend on the starting biomass and production technology. This study investigates its functional properties versus bacteria. Methods: The morphology and physical properties of biochar from vine pruning were evaluated by SEM. The adsorption capacity for pathogenic E. coli F4+ and F18+ and probiotic microorganisms such as Lactobacillus sp. was assessed by plate count after contact with biochar. The growth activity on pathogenic and probiotic bacteria was

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Yamahachi, Homare, Sally A. Marik, Justin N. J. McManus, Winfried Denk, and Charles D. Gilbert. "Rapid Axonal Sprouting and Pruning Accompany Functional Reorganization in Primary Visual Cortex." Neuron 64, no. 5 (2009): 719–29. http://dx.doi.org/10.1016/j.neuron.2009.11.026.

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Zhang, Qingtao. "Optimization of Nonlinear Convolutional Neural Networks based on Improved Chameleon Group Algorithm." Scalable Computing: Practice and Experience 25, no. 2 (2024): 840–47. http://dx.doi.org/10.12694/scpe.v25i2.2486.

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In order to solve the most difficult problem of the architectural model established by CNN in solving specific problems, which results in parameter overflow and inefficient training, an optimization algorithm for nonlinear convolutional neural networks based on improved chameleon swarm algorithm is proposed. This article mainly introduces the use of Chameleon Swarm Optimization (PSO) algorithm to research the parameters of CNN architecture, solve them, and achieve the optimization of the optimization model.Although the number of parameters that need to be set up in CNN is very large, this meth

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Allen, Donald M., and Ted E. Hallows. "Solar pruning of retinal rods in albino rainbow trout." Visual Neuroscience 14, no. 3 (1997): 589–600. http://dx.doi.org/10.1017/s0952523800012244.

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AbstractMorphology of the central retina and scotopic visual sensitivity were compared in juvenile albino and normally pigmented rainbow trout living under natural and reduced daylight. Outdoor albinos avoided exposing their eyes to direct sunlight, whereas normals were indifferent to it. After 4 months outdoors (Σ10,000 lux in albinos, Σ100,000 lux in normals), albinos had severely truncated or missing rod outer segments (ROS) and some missing rod ellipsoids, but normal numbers of photoreceptor nuclei and fully intact cones. Albino estimated ROS volume was only 7.1% of normal in July, but inc

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Jesus, Meirielly S., Ana C. Carvalho, José A. Teixeira, Lucília Domingues, and Cristina Pereira-Wilson. "Ohmic Heating Extract of Vine Pruning Residue Has Anti-Colorectal Cancer Activity and Increases Sensitivity to the Chemotherapeutic Drug 5-FU." Foods 9, no. 8 (2020): 1102. http://dx.doi.org/10.3390/foods9081102.

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Vine pruning residues are by-products of the wine industry that have not received much attention in the past, in spite of being rich in bioactive compounds. In this study, we aimed to test whether an ohmic extract of vine pruning residue (VPE) has anti-colorectal cancer (CRC) properties, and whether responses differ according with cell’s mutation profile. VPE decreased human CRC cell proliferation, accompanied by DNA effects and cell cycle modulation. VPE also increased cell sensitivity to the chemotherapeutic drug 5-FU. Our results suggest that tumors harboring BRAF mutations may be more resp

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Kallsen*, Craig E. "Topping and Pruning Effects on Yield and Fruit Size of Navel Orange." HortScience 39, no. 4 (2004): 885D—886. http://dx.doi.org/10.21273/hortsci.39.4.885d.

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Yield, fruit quality parameters and pruning costs were compared among differentially-pruned, mature navel orange trees planted at a density of 222 trees per hectare (90 trees per acre) in 2000, 2001 and 2002. The experiment was designed as a replicated, split block with topping height as the main plot split by three levels of interior pruning as subplots. A tree was reduced in height by mechanical topping to 4.3 m, 4.9 m or left untopped and hand pruned according to one of the three following options: 1. scaffold removal in March of 2000 followed by dead-brushing in 2001, and 2002; 2. dead-bru

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Logachev, Maxim, and Leliya Krylova. "Operation features of the expert system for tree and shrub pruning." E3S Web of Conferences 462 (2023): 02041. http://dx.doi.org/10.1051/e3sconf/202346202041.

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The article defines the importance of tree and shrub pruning for the environment of settlements and farms engaged in the cultivation of fruit plants. Such a process requires taking into account many parameters of both the plant itself and external conditions. This justifies the need to develop and use a software product capable of tracking over time the activities associated with pruning a plant and making recommendations to specialists for effective branch removal depending on the parameters of the setting. The problem domain has been analysed with the allocation of key parameters to create a

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Goldin, Miri, Menahem Segal, and Elena Avignone. "Functional Plasticity Triggers Formation and Pruning of Dendritic Spines in Cultured Hippocampal Networks." Journal of Neuroscience 21, no. 1 (2001): 186–93. http://dx.doi.org/10.1523/jneurosci.21-01-00186.2001.

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Chugani, Harry T. "Biological Basis of Emotions: Brain Systems and Brain Development." Pediatrics 102, Supplement_E1 (1998): 1225–29. http://dx.doi.org/10.1542/peds.102.se1.1225.

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Functional neuroimaging techniques such as positron emission tomography have made it possible to investigate brain metabolism noninvasively during development. Studies have revealed a dynamic period of metabolic maturation and neuronal growth corresponding to the processes of synaptic proliferation and pruning of unused pathways. This physiologic plasticity is believed to be the biological basis for a critical period of learning and emotional development.

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Peng, Ying, Hui Tong, Wuping Yin, Ye Yuan, and Zuhua Yuan. "Effects of summer pruning on the growth and photosynthetic characteristics of pepper (Capsicum annuum L.)." Acta Scientiarum Polonorum Hortorum Cultus 23, no. 1 (2024): 41–50. http://dx.doi.org/10.24326/asphc.2024.5275.

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The objective of the study is to investigate the mechanism by which summer pruning enhances the growth of pepper plants, as indicated by growth and fruit appearance indicators, photosynthetic rate and gas exchange parameters, rapid light response and induction kinetics curves and the related chlorophyll fluorescence parameters. The results indicated that the leaf growth rate, the individual pepper fruit weight, and the fruit longitudinal and cross diameters of the pruned group were significantly higher than those of the control. The stomatal conductance (Gs), intercellular CO2 concentration (C

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Reggi, Serena, Sara Frazzini, Maria Claudia Torresani, et al. "Metabolomic Profiling and Functional Characterization of Biochar from Vine Pruning Residues for Applications in Animal Feed." Animals 14, no. 23 (2024): 3440. http://dx.doi.org/10.3390/ani14233440.

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Biochar has gained interest as a feed ingredient in livestock nutrition due to its functional properties, circularity, potential to reduce environmental impact, and alignment with sustainable agro-zootechnical practices. The in vivo effects of biochar are closely tied to its physical characteristics, which vary depending on the biomass used as feedstock and the production process. This variability can result in heterogeneity among biochar types used in animal nutrition, leading to inconsistent outcomes. The aim of this study was to characterize the metabolomic and functional properties of an a

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Gomez, Jesse, Michael A. Barnett, Vaidehi Natu, et al. "Microstructural proliferation in human cortex is coupled with the development of face processing." Science 355, no. 6320 (2017): 68–71. http://dx.doi.org/10.1126/science.aag0311.

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How does cortical tissue change as brain function and behavior improve from childhood to adulthood? By combining quantitative and functional magnetic resonance imaging in children and adults, we find differential development of high-level visual areas that are involved in face and place recognition. Development of face-selective regions, but not place-selective regions, is dominated by microstructural proliferation. This tissue development is correlated with specific increases in functional selectivity to faces, as well as improvements in face recognition, and ultimately leads to differentiate

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Boyko, Volodymyr. "Experimental studies of pruning the haulm of chicory root tops." Scientific journal of the Ternopil national technical university 112, no. 4 (2023): 41–50. http://dx.doi.org/10.33108/visnyk_tntu2023.04.041.

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Chicory roots are a valuable technical and strategically important crop for the leading sectors of the Ukrainian economy. The processing of raw materials from chicory roots allows to obtain energy (biofuel), food (coffee) and pharmaceutical (inulin) products. The low level of mechanization of harvesting chicory root crops (significant losses, damage) does not allow to meet the needs of raw materials for its processing. The purpose of the study is to increase the quality indicators of the cutting of burdock from the heads of root crops by substantiating the rational parameters of the working or

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Hogenaar, Jirrine T. T., and Hans van Bokhoven. "Schizophrenia: Complement Cleaning or Killing." Genes 12, no. 2 (2021): 259. http://dx.doi.org/10.3390/genes12020259.

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Schizophrenia is a psychiatric disorder with a typical onset occurring during adolescence or young adulthood. The heterogeneity of the disorder complicates our understanding of the pathophysiology. Reduced cortical synaptic densities are commonly observed in schizophrenia and suggest a role for excessive synaptic elimination. A major pathway hypothesised to eliminate synapses during postnatal development is the complement system. This review provides an overview of genetic and functional evidence found for the individual players of the classical complement pathway. In addition, the consequence

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Surový, P., A. Yoshimoto, and N. A. Ribeiro. "Comparison of Pruning Regimes for Stone Pine (Pinus pinea L.) Using a Functional Structural Plant Model." FORMATH 11 (2012): 27–43. http://dx.doi.org/10.15684/formath.11.27.

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Balandier, Philippe, Andr� Lacointe, Xavier Le Roux, Herv� Sinoquet, Pierre Cruiziat, and S�verine Le Diz�s. "SIMWAL: A structural-functional model simulating single walnut tree growth in response to climate and pruning." Annals of Forest Science 57, no. 5 (2000): 571–85. http://dx.doi.org/10.1051/forest:2000143.

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Diekman, Casey, Kohinoor Dasgupta, Vijay Nair, and K. P. Unnikrishnan. "Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data." Neural Computation 26, no. 7 (2014): 1263–97. http://dx.doi.org/10.1162/neco_a_00598.

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Repeating patterns of precisely timed activity across a group of neurons (called frequent episodes) are indicative of networks in the underlying neural tissue. This letter develops statistical methods to determine functional connectivity among neurons based on nonoverlapping occurrences of episodes. We study the distribution of episode counts and develop a two-phase strategy for identifying functional connections. For the first phase, we develop statistical procedures that are used to screen all two-node episodes and identify possible functional connections (edges). For the second phase, we de

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Valdés-Sosa, Pedro A., Jose M. Sánchez-Bornot, Agustín Lage-Castellanos, et al. "Estimating brain functional connectivity with sparse multivariate autoregression." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1457 (2005): 969–81. http://dx.doi.org/10.1098/rstb.2005.1654.

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There is much current interest in identifying the anatomical and functional circuits that are the basis of the brain's computations, with hope that functional neuroimaging techniques will allow the in vivo study of these neural processes through the statistical analysis of the time-series they produce. Ideally, the use of techniques such as multivariate autoregressive (MAR) modelling should allow the identification of effective connectivity by combining graphical modelling methods with the concept of Granger causality. Unfortunately, current time-series methods perform well only for the case t

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Serra, Angela, Paola Galdi, Emanuele Pesce, et al. "Strong–Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization." International Journal of Neural Systems 29, no. 07 (2019): 1950007. http://dx.doi.org/10.1142/s0129065719500072.

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Magnetic resonance imaging allows acquiring functional and structural connectivity data from which high-density whole-brain networks can be derived to carry out connectome-wide analyses in normal and clinical populations. Graph theory has been widely applied to investigate the modular structure of brain connections by using centrality measures to identify the “hub” of human connectomes, and community detection methods to delineate subnetworks associated with diverse cognitive and sensorimotor functions. These analyses typically rely on a preprocessing step (pruning) to reduce computational com

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Vithanage, Kasun, Rukshan Wijesinghe, Alex Xavier, Dumindu Tissera, Sanath Jayasena, and Subha Fernando. "Accelerating language emergence by functional pressures." PLOS ONE 18, no. 12 (2023): e0295748. http://dx.doi.org/10.1371/journal.pone.0295748.

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In language emergence, neural agents acquire communication skills by interacting with one another and the environment. Through these interactions, agents learn to connect or ground their observations to the messages they utter, forming a shared consensus about the meaning of the messages. Such connections form what we refer to as a grounding map. However, these maps can often be complicated, unstructured, and contain redundant connections. In this paper, we introduce two novel functional pressures, modeled as differentiable auxiliary losses, to simplify and structure the grounding maps. The fi

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Marques dos Santos, José Diogo, Luís Paulo Reis, and José Paulo Marques dos Santos. "Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data." Machine Learning and Knowledge Extraction 7, no. 1 (2025): 17. https://doi.org/10.3390/make7010017.

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Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in the analysis. Recent work combined shallow neural networks (SNNs) with explainable artificial intelligence (xAI) techniques to extract insights into brain processes. While earlier studies validated this approach using motor task fMRI data, the present study applies it to Theory of Mind (ToM) cognitive tasks, using data from the Human Connectome Project’s (HCP) Young Adult database. Cognitive tasks are more

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Bora, Sudipta Sankar, Dibya Jyoti Hazarika, Rahul Gogoi, Samim Dullah, Manuranjan Gogoi, and Madhumita Barooah. "Long-term pruning modulates microbial community structure and their functional potential in Tea (Camellia sinensis L.) soils." Applied Soil Ecology 176 (August 2022): 104483. http://dx.doi.org/10.1016/j.apsoil.2022.104483.

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Oşan, Remus, Emily Su, and Troy Shinbrot. "The Interplay between Branching and Pruning on Neuronal Target Search during Developmental Growth: Functional Role and Implications." PLoS ONE 6, no. 10 (2011): e25135. http://dx.doi.org/10.1371/journal.pone.0025135.

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Dong, Tingfa, Baoli Duan, Helena Korpelainen, Ülo Niinemets, and Chunyang Li. "Asymmetric pruning reveals how organ connectivity alters the functional balance between leaves and roots of Chinese fir." Journal of Experimental Botany 70, no. 6 (2019): 1941–53. http://dx.doi.org/10.1093/jxb/erz013.

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Chen, Zhe, and Simon Haykin. "On Different Facets of Regularization Theory." Neural Computation 14, no. 12 (2002): 2791–846. http://dx.doi.org/10.1162/089976602760805296.

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This review provides a comprehensive understanding of regularization theory from different perspectives, emphasizing smoothness and simplicity principles. Using the tools of operator theory and Fourier analysis, it is shown that the solution of the classical Tikhonov regularization problem can be derived from the regularized functional defined by a linear differential (integral) operator in the spatial (Fourier) domain. State-ofthe-art research relevant to the regularization theory is reviewed, covering Occam's razor, minimum length description, Bayesian theory, pruning algorithms, information

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Faheema, Fathima. "Solar based multi functional Agricultural Robot using Arduino." International Journal of Engineering Research in Electrical and Electronics Engineering 9, no. 1 (2022): 14–18. http://dx.doi.org/10.36647/ijereee/09.01.a003.

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Horticulture robotics has thrown a consistent boost with the innovative automation into an entire substructure, for example, farming, pursuing crops, rover service, cultivating, workshop. By considering the importance of robots, yielding of professional’s are being done in order to elaborate the robot applications. Flying robot, lettuce bot, robot milker, versatile robots are some of the sincere dedication done by the researchers towards the agriculture and even for mankind. Horticulture robot consists of an instrument called as an end effector at the end finish of a mechanical arm which is us

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Agyemang, Malena, Julie Linsey, and Cameron J. Turner. "Transforming functional models to critical chain models via expert knowledge and automatic parsing rules for design analogy identification." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 31, no. 4 (2017): 501–11. http://dx.doi.org/10.1017/s0890060417000488.

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AbstractCritical chains composed of critical flows and functions have been demonstrated as an effective qualitative analogy retrieval approach based on performance metrics. In prior work, engineers used expert knowledge to transform functional models into critical chain models, which are abstractions of the functional model. Automating this transformation process is highly desirable so as to provide for a robust transformation method. Within this paper, two paradigms for functional modeling abstraction are compared. A series of pruning rules provide an automated transformation approach, and th

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BOZHKOV, SNEZHAN I. "MODULAR MACHINE FOR OIL-BEARING ROSE PRODUCTION." Agricultural engineering, no. 6 (2021): 43–49. http://dx.doi.org/10.26897/2687-1149-2021-6-43-49.

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The cultivation of oil-bearing roses requires signifi cant labor and energy resources. The research aims to develop a multifunctional farm implement to mechanize technological operations in rose-growing on small and medium-sized farms. The modular farm implement includes a platform-type base module. Depending on the technological operation performed, it incorporates a spraying system, pneumatic pruning system, side panels, or two workplaces for rose pickers. Using computer simulation with a simulation model created using the “Solid Works” software package, the author determined the profi les a

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Mayans, Begoña, Javier Pérez-Esteban, Consuelo Escolástico, Enrique Eymar, and Alberto Masaguer. "Evaluation of Commercial Humic Substances and Other Organic Amendments for the Immobilization of Copper Through 13C CPMAS NMR, FT-IR, and DSC Analyses." Agronomy 9, no. 11 (2019): 762. http://dx.doi.org/10.3390/agronomy9110762.

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The application of organic amendments to contaminated agricultural lands can immobilize metals and improve soil conditions. The chemical structures and long-term stability of commercial humic substances and other composted organic amendments (sheep and horse manure, vermicompost, pine bark, and pruning waste) were analyzed using 13C CPMAS NMR, FT-IR, and DSC to evaluate their use in soil remediation. The interactions of humic substances and manure with Cu (0 and 5000 mg kg−1) at different pH (2.5 and 5.0) were studied through a batch adsorption experiment observing the changes in their molecul

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van Kerkoerle, Timo, Sally A. Marik, Stephan Meyer zum Alten Borgloh, and Charles D. Gilbert. "Axonal plasticity associated with perceptual learning in adult macaque primary visual cortex." Proceedings of the National Academy of Sciences 115, no. 41 (2018): 10464–69. http://dx.doi.org/10.1073/pnas.1812932115.

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Perceptual learning is associated with changes in the functional properties of neurons even in primary sensory areas. In macaque monkeys trained to perform a contour detection task, we have observed changes in contour-related facilitation of neuronal responses in primary visual cortex that track their improvement in performance on a contour detection task. We have previously explored the anatomical substrate of experience-dependent changes in the visual cortex based on a retinal lesion model, where we find sprouting and pruning of the axon collaterals in the cortical lesion projection zone. He

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