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A novel unsupervised analysis of electrophysiological signals reveals new sleep substages in mice
2018
PLoS Biology
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In this study, we present a new data-driven analysis approach offering a plethora of novel features for the characterization of sleep. ...
Sleep science is entering a new era, thanks to new data-driven analysis approaches that, combined with mouse gene-editing technologies, show a promise in functional genomics and translational research. ...
Acknowledgments We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X GPU used for the training of the mcRBM. ...
doi:10.1371/journal.pbio.2003663
pmid:29813050
pmcid:PMC5993302
fatcat:xtgzderltbeurldctwtrp5xg44
Deep learning approaches for human activity recognition using wearable technology
Pristupi dubokog učenja za prepoznavanje aktivnosti ljudi primenom odevne tehnologije
2018
Medicinski Podmladak
Pristupi dubokog učenja za prepoznavanje aktivnosti ljudi primenom odevne tehnologije
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Neural networks (NN) are data-driven type of modelling. ...
This review shows that deep learning techniques are useful tools for health condition prediction or overall monitoring of data, streamed by wearable systems. ...
Acknowledgement This research was partly supported by the Ministry for Education, Science and Technology Development of Serbia, Belgrade, Serbia (OS 175016). ...
doi:10.5937/mp69-18039
fatcat:oxomqfuhrncfrlcglqwrqn2one
Replay in Deep Learning: Current Approaches and Missing Biological Elements
[article]
2021
arXiv
pre-print
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Replay algorithms have been successfully used in a wide range of deep learning methods within supervised, unsupervised, and reinforcement learning paradigms. ...
Replay was first observed in biological neural networks during sleep, and it is now thought to play a critical role in memory formation, retrieval, and consolidation. ...
For example, (Káli and Dayan, 2004) proposed a model where the HC and cortex were modelled as a lookup-table and a restricted-Boltzmann-machine, respectively. ...
arXiv:2104.04132v2
fatcat:ejla3anfs5bvln2dnpusxk3fuu
Replay in Deep Learning: Current Approaches and Missing Biological Elements
2021
Neural Computation
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Replay algorithms have been successfully used in a wide range of deep learning methods within supervised, unsupervised, and reinforcement learning paradigms. ...
We identify multiple aspects of biological replay that are missing in deep learning systems and hypothesize how they could be used to improve artificial neural networks. ...
For example, Káli and Dayan (2004) proposed a model where the HC and cortex were modeled as a lookup table and a restricted-Boltzmann-machine, respectively. ...
doi:10.1162/neco_a_01433
pmid:34474476
pmcid:PMC9074752
fatcat:53z4ybkaxrd3bpedzznztjruta
The characteristic patterns of neuronal avalanches in mice under anesthesia and at rest: An investigation using constrained artificial neural networks
2018
PLoS ONE
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We then use artificial neural networks to identify the characteristic patterns created by neuronal avalanches in our data. ...
In this study, we overcome these limitations by using optical voltage (genetically encoded voltage indicators) imaging. ...
Specifically, we use Restricted Boltzmann Machines (RBMs) [22] , followed by feed-forward neural networks (FFNNs). ...
doi:10.1371/journal.pone.0197893
pmid:29795654
pmcid:PMC5967741
fatcat:iv5inenpvrborh7pd4ej6ggb6u
Abstracts: Society for Developmental Biology 62nd Annual Meeting
2003
Developmental Biology
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In contrast, mouse Ath5, Math5, induces formation of very few ommatidia and most of these lack R8 cells. ...
outcomes, and thoughts on increased emphasis on the use of live material in laboratory exercises. ...
We have also compared the timing of expression with that of capsulin and MyoR, two related MRFs which gene inactivation studies in mice have shown these are required for the development of some lower jaw ...
doi:10.1016/s0012-1606(03)00282-3
fatcat:yotxfedczzaaldhk7cu3olly4m
CIR-Myo News: Abstracts of the 2015 Spring Padua Muscle Days
2015
European Journal of Translational Myology
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The data emerging from this study highlight a precocious fatigability and an impairment of muscle oxidative metabolism in subject affected by a pre-cachectic stage of cancer. ...
and 28-month-old calorie-restricted rats were used. ...
We investigated the role of HDAC4 in ALS by deleting HDAC4 in skeletal muscle of SOD1G93A mice, a mouse model of ALS. ...
doi:10.4081/ejtm.2015.5150
fatcat:7iarqkarjvfzhkzrql2ezlnsqq
Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications
2016
International Journal of Molecular Sciences
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An overview of the main architectures of DNNs, and their usefulness in Pharmacology and Bioinformatics are presented in this work. ...
Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-art algorithms in Machine Learning (ML), speech recognition, computer vision, natural language processing and many ...
Acknowledgments: This work is supported by the General Directorate of Culture, Education and University Management of Xunta de Galicia (Reference GRC2014/049) and the European Fund for Regional Development ...
doi:10.3390/ijms17081313
pmid:27529225
pmcid:PMC5000710
fatcat:n7aoenqiorgp7jmpsdluktb4ae
Cardio-Oncology
2021
JACC: Basic to Translational Science
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An overview of imaging techniques that can support both research studies and clinical management is also provided. ...
In this context, efforts from basic and translational studies are crucial to understanding the molecular mechanisms causal to cardiovascular disease in cancer patients and survivors, and identifying new ...
A role for hypocretin/orexin in metabolic and sleep abnormalities in a mouse model of non-metastatic breast cancer. Cell Metab 2018;28:118-29.e5. 34. Leone RD, Zhao L, Englert JM, et al. ...
doi:10.1016/j.jacbts.2021.05.008
pmid:34466757
pmcid:PMC8385559
fatcat:lcwd65q2rze27msu23nzq4p6hq
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
[chapter]
2022
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
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A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper. ...
This paper forms the basis of understanding the difficulty of the domain and the amount of efficiency achieved by the various methods recently. ...
The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm. ...
doi:10.13052/rp-9788770227667
fatcat:da47mjbbyzfwnbpde7rgbrlppe
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3
2017
BMC Neuroscience
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To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1]. ...
To study the functional changes, we measured the degree of synchronization for each combination of learning parameters. ...
used for scientific computing and machine learning. ...
doi:10.1186/s12868-017-0372-1
fatcat:q5x3vgivujgshmtthc6ki4fcfu
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1
2017
BMC Neuroscience
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To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1]. ...
To study the functional changes, we measured the degree of synchronization for each combination of learning parameters. ...
used for scientific computing and machine learning. ...
doi:10.1186/s12868-017-0370-3
fatcat:qq2cmqlotbg7vpqlqmmcql4u5i
25th Annual Computational Neuroscience Meeting: CNS-2016
2016
BMC Neuroscience
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Part of this complexity is related to the number of different cell types that work together to encode stimuli. ...
BMC Neuroscience 2016, 17(Suppl 1):A1 Neural circuits are notorious for the complexity of their organization. ...
The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript. ...
doi:10.1186/s12868-016-0283-6
pmid:27534393
pmcid:PMC5001212
fatcat:bt45etzj2bbolfcxlxo7hlv6ju
GABA: A Pioneer Transmitter That Excites Immature Neurons and Generates Primitive Oscillations
2007
Physiological Reviews
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The Boltzmann equation of these functions (Fig. 9 ) provides a good template of maturation of cortical networks in primates and is in excellent parallelism with postnatal rodent data. ...
Transfection studies of the KCC2 cotransporter are also very useful as they enable the testing of the consequences of overexpression at an early stage of the transporter. ...
doi:10.1152/physrev.00017.2006
pmid:17928584
fatcat:zqittjqt2fb4xiwtcgf6ojint4
2013 Autumn Padua Muscle Days | Padova and Terme Euganee, Italy, November 14-16
2013
European Journal of Translational Myology
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Using electron and confocal microscopy, we studied: a) ageing human/mouse muscle fibers and b) denervated rat muscle (by nerve crush). ...
The first goal of our ongoing rat and mouse study model is to establish the most efficient use of manpower and resources and the sequence of collection and fixation of organs from neck (larynx and high ...
doi:10.4081/ejtm.2013.2226
fatcat:zrhswyoyefdynbvpfvp2dafgry
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