57 resources related to Developmental Neuroscience
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.
IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...
Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.
IEEE Transactions on Autonomous Mental Development, 2010
Over the course of development, the central nervous system grows into a complex set of structures that ultimately controls our experiences and interactions with the world. To understand brain development, researchers must disentangle the contributions of genes, neural activity, synaptic plasticity, and intrinsic noise in guiding the growth of axons between brain regions. Here, we examine how computer simulations can ...
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
Both activity-dependent (AD) and activity-independent (AI) processes play important roles in neural development. For example, in the development of the vertebrate visual system, molecular guidance cues that are largely activity- independent provide a rough topography of early projections, while activity- dependent refinement of termination zones occurs later on through correlated retinal activity. A key question concerns the nature of the ...
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Preterm infants, i.e. babies born after a gestation period shorter than 37 weeks, spend less time exploring objects. The quantitative measurement of grasping actions and forces in infants can give insights on their typical or atypical motor development. The aim of this work was to test a new tool, a kit of sensorized toys, to longitudinally measure, monitor and promote ...
Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007
Neuro-developmental engineering is a new interdisciplinary research area at the intersection of developmental neuroscience and bioengineering. Applications can be found in early detection of neuro-developmental disorders via a new generation of mechatronic toys for assessing the regular development of perceptual and motor skills in infants, in particular coordination of mobile and multiple frames of reference during manipulation. This paper focuses ...
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012
Motor impairments seems to play an important role in neurodevelopmental disorders such as autism spectrum disorders (ASD). Early detection of motor abnormalities during first years of life, may give important information regarding whether a child may receive a later diagnosis of Autism: for this reason an objective assessment of motor performance is crucial. While there are several technological solutions suitable ...
Sharing New Breakthroughs in Neuroscience
Robotics History: Narratives and Networks Oral Histories:Michael Arbib
Laura Specker Sullivan: Neuroscience & Brain Panel - Forecasting the Future by Looking at the Past - TTM 2018
Q&A with Jack Gallant: IEEE Brain Podcast, Episode 11
Q&A: Neuroscience and Brain Panel - TTM 2018
Q&A with Emery Brown: IEEE Brain Podcast, Episode 3
Engineering Our Future - Maja Mataric, Ph.D
Q&A with Dr. Al Emondi: IEEE Brain Podcast, Episode 13
A Conversation with Danielle Bassett: IEEE TechEthics Interview
Christoph Guger: Neuroscience & Brain Panel - The Future of Non-invasive Brain-computer Interfaces - TTM 2018
The EU Human Brain Project - A Systematic Path from Data to Synthesis
Keynote: Poppy Crum - TTM 2018
Q&A with Dr. Jacob Robinson: IEEE Brain Podcast, Episode 5
Pitch Competition Winner: BabyNoggin - IEEE WIE ILC 2017
Dr. Scott Fish
Emerging Technologies for the Control of Human Brain Dynamics: IEEE TechEthics Keynote with Danielle Bassett
Brain Panelist - James Kozloski: 2016 Technology Time Machine
CB: Exploring Neuroscience with a Humanoid Research Platform
Solving Real World Problems with Computing: Exploring Careers in Engineering and Technology
Over the course of development, the central nervous system grows into a complex set of structures that ultimately controls our experiences and interactions with the world. To understand brain development, researchers must disentangle the contributions of genes, neural activity, synaptic plasticity, and intrinsic noise in guiding the growth of axons between brain regions. Here, we examine how computer simulations can shed light on neural development, making headway towards systems that self-organize into fully autonomous models of the brain. We argue that these simulations should focus on the ¿open-ended¿ nature of development, rather than a set of deterministic outcomes.
Both activity-dependent (AD) and activity-independent (AI) processes play important roles in neural development. For example, in the development of the vertebrate visual system, molecular guidance cues that are largely activity- independent provide a rough topography of early projections, while activity- dependent refinement of termination zones occurs later on through correlated retinal activity. A key question concerns the nature of the interaction between these processes. Knockout experiments involving the beta2 subunit of nicotinic acetylcholine receptors and bone morphogenic protein (BMP) suggest that these two processes make genuinely separate contributions - but leave open the precise nature of their interaction. In this article we show how a novel, computational framework (dubbed INTEGRATE) can illuminate the scope and limits of the AI-AD interaction, including facts about critical periods and timing.
Preterm infants, i.e. babies born after a gestation period shorter than 37 weeks, spend less time exploring objects. The quantitative measurement of grasping actions and forces in infants can give insights on their typical or atypical motor development. The aim of this work was to test a new tool, a kit of sensorized toys, to longitudinally measure, monitor and promote preterm infants manipulation capabilities with a purposive training in an ecological environment. This study presents preliminary analysis of grasping activity. Three preterm infants performed 4 weeks of daily training at home. Sensorized toys with embedded pressure sensors were used as part of the training to allow quantitative analysis of grasping (pressure and acceleration applied to toys while playing). Each toy was placed on the midline, while the infant was in supine position. Preliminary data show differences in the grasping parameters in relation to infants age and the performed daily training. Ongoing clinical trial will allow a full validation of this new tool for promoting object exploration in preterm infants.
Neuro-developmental engineering is a new interdisciplinary research area at the intersection of developmental neuroscience and bioengineering. Applications can be found in early detection of neuro-developmental disorders via a new generation of mechatronic toys for assessing the regular development of perceptual and motor skills in infants, in particular coordination of mobile and multiple frames of reference during manipulation. This paper focuses on the design of a novel mechatronic toy, shaped as a 5 cm (diameter) ball, i.e. small enough to be grasped with a single hand by a 1 year old child. The sensorized ball is designed to embed a kinematics sensing unit, able to sense both the orientation in 3D space and linear accelerations, as well as a force sensing unit, to detect grasping patterns during manipulation. Dimensioning of batteries able to operate for 1 hour during experimental sessions as well as a wireless communication unit are also included in the design.
Motor impairments seems to play an important role in neurodevelopmental disorders such as autism spectrum disorders (ASD). Early detection of motor abnormalities during first years of life, may give important information regarding whether a child may receive a later diagnosis of Autism: for this reason an objective assessment of motor performance is crucial. While there are several technological solutions suitable to this end, they often require highly structured environments. In this work we propose the use of a magneto- inertial platform to study early motor performance between 12-36 months of age suitable to be used in non-structured environment.
In this article the design and fabrication of a new mechatronic platform (called “Mechatronic Board”) for behavioral analysis of children are presented and discussed. The platform is the result of a multidisciplinary design approach which merges input coming from neuroscientists, psychologists, roboticians and bioengineers, with the main goal of studying learning mechanisms driven by intrinsic motivations and curiosity. A detailed analysis of the main features of the mechatronic board is provided, focusing on the key aspects which allow studying intrinsically motivated learning in children. Finally preliminary results on curiosity-driven learning, coming from a pilot study on children are reported.
In this work we propose a new method to study the development of motor planning abilities in children and, in particular, in children at high risk for ASD. Although several modified motor signs have been found in children with ASD, no specific markers enabling the early assessment of risk have been found yet. In this work, we discuss the problem posed by objective and quantitative behavioral analysis in non-structured environment. After an initial description of the main constraints imposed by the ecological approach, a technological and methodological solution to these issues is presented. Preliminary results on 12 children are reported and briefly discussed.
This article describes the design of an innovative system for early intervention (EI) at home in infancy. The aim is to develop a smart device capable of promoting and measuring the actions of infants in the first months of life. The CareToy system, inspired by a commercially available gym for infants and equipped with a variety of sensors, can provide an intensive, individualized, home-based and family-centered EI program remotely telemonitored by clinicians. An array of sensors measures the activity of infants inside the gym. The sensor signals related to infant's movement, interaction with toys, and pressure distribution are acquired and processed in real time to classify the infant's activities and behavior. Rewards (feedback) are provided to the infants on the basis of their activity. Data are interpreted offline in terms of clinical meaning, and experimental tests are also reported.
We propose a unified Bayesian framework to detect both hyper- and hypo-active communities within whole-brain fMRI data. Specifically, our model identifies dense subgraphs that exhibit population-level differences in functional synchrony between a control and clinical group. We derive a variational EM algorithm to solve for the latent posterior distributions and parameter estimates, which subsequently inform us about the afflicted network topology. We demonstrate that our method provides valuable insights into the neural mechanisms underlying social dysfunction in autism, as verified by the Neurosynth meta-analytic database. In contrast, both univariate testing and community detection via recursive edge elimination fail to identify stable functional communities associated with the disorder.
Predictive Processing (PP) , ,  is becoming an influential account in cognitive neuroscience, including developmental neuroscience . According to PP, human brains interpret their sensory inputs by predicting them, based on a hierarchy of generative models. These predictions are then compared to the actual, observed inputs, and the difference between predictions and observations (so-called prediction error) is used to update the agent's generative model about the world, to minimize future prediction errors. A key question for PP is how situated agents can learn these generative models. This question is especially important from a developmental perspective on PP. That is, the theory needs to specify how such generative models can be `developable' at all, given that infants must somehow build these generative models from embodied, situated interaction with their environments.
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