Conferences related to Cerebellum

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    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 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 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.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    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 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    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 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    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 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    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 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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.


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Periodicals related to Cerebellum

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

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.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Instrumentation and Measurement, IEEE Transactions on

Measurements and instrumentation utilizing electrical and electronic techniques.


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Most published Xplore authors for Cerebellum

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Xplore Articles related to Cerebellum

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Self-learning robots III brainstyle robotics: the cerebellum beyond function approximation

IEE Workshop on Self-Learning Robots III Brainstyle Robotics: The Cerebellum Beyond Function Approximation (Ref. No. 1999/049), 1999

None


The cerebellum and visually controlled movements

IEE Workshop on Self-Learning Robots III Brainstyle Robotics: The Cerebellum Beyond Function Approximation (Ref. No. 1999/049), 1999

The author reviews some of the data from human and animal models pointing to a critical role for the cerebellum in the control of visually-guided movements. There are now several contrasting theories that suggest what this role may be, evidence from functional imaging, lesion studies, anatomy, and computational modelling supports the theory that the cerebellum forms a forward model of ...


Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System

IEEE Transactions on Biomedical Circuits and Systems, 2016

The cerebellum plays a critical role for sensorimotor control and learning. However, dysmetria or delays in movements' onsets consequent to damages in cerebellum cannot be cured completely at the moment. Neuroprosthesis is an emerging technology that can potentially substitute such motor control module in the brain. A pre-requisite for this to become practical is the capability to simulate the cerebellum ...


The cerebellum as a neuronal machine

IEE Workshop on Self-Learning Robots III Brainstyle Robotics: The Cerebellum Beyond Function Approximation (Ref. No. 1999/049), 1999

Summary form only given. The exceedingly regular and intricate neuroanatomy of the vertebrate cerebellar cortex has prompted many speculations about its function. The author reviews and assesses models for the functioning of cerebellar cortex, including those suggesting that it is: a timing device, a device enabling spatial navigation, or an associative memory store which is used in motor control.


Attenuation Correction of Cerebellum in PET/MR Data

2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2017

Most approaches of modelling neuroreceptor PET studies apply the cerebellum as reference area. Therefore, it is mandatory that the respective attenuation correction (AC) method for reconstructing the emission data is most appropriate regarding cerebellar areas. PET data from PET/MR scanners require alternative AC methods. These ought to be tested with respect to the performance within the cerebellum. This study aimed ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Self-learning robots III brainstyle robotics: the cerebellum beyond function approximation

    None

  • The cerebellum and visually controlled movements

    The author reviews some of the data from human and animal models pointing to a critical role for the cerebellum in the control of visually-guided movements. There are now several contrasting theories that suggest what this role may be, evidence from functional imaging, lesion studies, anatomy, and computational modelling supports the theory that the cerebellum forms a forward model of the motor system. This may be used for control (as suggested by the 'Smith predictor' hypothesis); it may also underlie a cerebellar role in co- ordination, motor planning and in predicting the sensory consequences of movements.

  • Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System

    The cerebellum plays a critical role for sensorimotor control and learning. However, dysmetria or delays in movements' onsets consequent to damages in cerebellum cannot be cured completely at the moment. Neuroprosthesis is an emerging technology that can potentially substitute such motor control module in the brain. A pre-requisite for this to become practical is the capability to simulate the cerebellum model in real-time, with low timing distortion for proper interfacing with the biological system. In this paper, we present a frame-based network-on-chip (NoC) hardware architecture for implementing a bio-realistic cerebellum model with ~ 100 000 neurons, which has been used for studying timing control or passage-of-time (POT) encoding mediated by the cerebellum. The simulation results verify that our implementation reproduces the POT representation by the cerebellum properly. Furthermore, our field- programmable gate array (FPGA)-based system demonstrates excellent computational speed that it can complete 1sec real world activities within 25.6 ms. It is also highly scalable such that it can maintain approximately the same computational speed even if the neuron number increases by one order of magnitude. Our design is shown to outperform three alternative approaches previously used for implementing spiking neural network model. Finally, we show a hardware electronic setup and illustrate how the silicon cerebellum can be adapted as a potential neuroprosthetic platform for future biological or clinical application.

  • The cerebellum as a neuronal machine

    Summary form only given. The exceedingly regular and intricate neuroanatomy of the vertebrate cerebellar cortex has prompted many speculations about its function. The author reviews and assesses models for the functioning of cerebellar cortex, including those suggesting that it is: a timing device, a device enabling spatial navigation, or an associative memory store which is used in motor control.

  • Attenuation Correction of Cerebellum in PET/MR Data

    Most approaches of modelling neuroreceptor PET studies apply the cerebellum as reference area. Therefore, it is mandatory that the respective attenuation correction (AC) method for reconstructing the emission data is most appropriate regarding cerebellar areas. PET data from PET/MR scanners require alternative AC methods. These ought to be tested with respect to the performance within the cerebellum. This study aimed to compare various AC methods for PET/MR data focussing on the cerebellum. Data of 16 subjects undergoing18FDG imaging in the Siemens 3TMR-BrainPET scanner and a whole head CT scan at the same day were used. The latter were transformed to CT-based attenuation maps (AMCT). The MR images were used to obtain AMs using the Boston-MGH method (AMMGH), the London-UCL method (AMUCL), the CT-template- based (AMCT-Juel) and Tx-template-based (AMTx-Juel) Juelich methods. BrainPET emission data were reconstructed with the five AMs. Using the SUIT tool the cerebellum was extracted from the MR images and normalized to a cerebellum VOI atlas. The cerebellum of the PET data was extracted by applying the same parameters. Correlation plots with regression equations, coefficients of determination R2, normalized and absolute normalized errors (NErr) between AMCTand the other four AMswere calculated. The values of cerebellar NErr varied to a high extent between the four AC methods. In one subject AMMGHshowed the lowest NErr (3.03±1.60%), in three participants the AMUCL performed best (NErr from -0.13±2.33% to 0.91±2.93%), in three others the AMTx-Juelhad the best results (NErr from -1.24±3.01% to 0.86±2.07%), while for the remaining seven subjects the AMCT-Juelperformed best (NErr from -2.08±0.94% to 7.98±3.43%). Our results demonstrate that the quantitation of radiotracer uptake in the cerebellum is very susceptible to the respective attenuation correction applied to the PET data. This, in turn, has to be considered in neuroreceptor modelling studies which rely on the cerebellum as reference.

  • A real-time silicon cerebellum spiking neural model based on FPGA

    Sensorimotor control and learning require the function of sophisticated neural system. Cerebellum is one such brain region which comprises more than half of the total neuron population in the entire brain. Capable of simulating a bio- realistic cerebellum model provides important information for neuroscience and engineering. Here we present a Network-on-Chip (NoC) hardware architecture for implementing a bio-realistic cerebellum model of passage-of-time (POT) encoding with 100,000 neurons. The results demonstrate that our implementation can reproduce the POT functionality properly. The maximum computational speed can reach 25.6 ms for simulating 1 sec real world activities. Our silicon cerebellum can be readily interface with in vivo or in vitro experiment and be adapted as a potential neuroprosthetic platform for future biological or clinical applications.

  • A new constructing method of cerebellum model applying to DIVA model

    DIVA (directions into velocities of articulators) is a mathematical model of the processes behind speech acquisition and production, supposed to achieve a functional representation of areas in the brain that are involved in speech production and speech perception. The model is an adaptive neural network that learns to control movements of a simulated vocal tract in order to produce words, syllables, or phonemes. Owing to the especial structure and action of cerebellum, some control frameworks of simulating cerebellum are introduced into the DIVA model that is widely used at present. Thereby, the problem about the timing of delays in sensory feedback and the conduction velocity problem bringing forth transmission delays in neural systems are in a way improved. But, owing to the structure of cerebellum model, these improvements are so imperfect to not fully meet the requirement of the DIVA model. The paper presents a new constructing method of cerebellum model, based on RSL (recurrent slide and latch) cerebellum model.

  • Intensity and Localization of Eddy Currents in Transcranial Magnetic Stimulation to the Cerebellum

    We performed numerical simulations of the eddy current induced by transcranial magnetic stimulation (TMS) to the cerebellum. Solutions were obtained on a three-dimensional human head model with inhomogeneous conductivity. The stimulating coil consisted of a pair of circular coil elements with a diameter of 110 mm. Electric current applied to the coil had an intensity of 44.2 kA middot Turn, which resulted in a magnetic field intensity of 0.56 T at the center of a coil element. The maximum current density in the cerebellum was 2.9 A/m<sup>2</sup>. Distribution of the eddy current in the cerebellum was limited to approximately 1 cm beneath the surface of the cerebellum. The eddy current had a localized distribution in the cerebellum, while the magnetic field had a broad distribution

  • Role of the cerebellum in adaptive control of locomotion

    To perform smooth and stable locomotion, animals coordinate not only parts of a limb, but also different limbs. The dynamics of coordination is modified according to changes of external conditions due to obstacles or unexpected perturbation. It is established that the cerebellum is necessary for interlimb coordination and adaptive control of locomotion. The cerebellum receives information through the spinocerebellar pathways about the ongoing activities both in the spinal stepping generator and at the somatosensory receptors during locomotion. This information conveyed by mossy fiber afferents to Purkinje neurons via granule cells and their axons, i.e., parallel fibers. Purkinje neurons transform the mossy fiber input signals to output signals that in turn modulate activities in brainstem decending tract neurons involved in locomotion. On the other hand, Purkinje neurons receive enhanced climbing fiber signals during perturbed locomotion. These climbing fiber signals are expected to induce synaptic plasticity at the parallel fiber-Purkinje neuron synapses. This article will highlight some recent advances into understanding the role of the cerebellar synaptic plasticity for the adaptive control of locomotion

  • Cerebellum-like neural network for short-range timing function of a robotic speaking system

    The timing control is necessary for determining its duration, stress, and rhythm in human speech; however, little attention has been paid to these issues when building a speech synthesis system. We have developed a talking robot, which generates human-like vocal sounds. The cerebellum is an important part of human brain organ that has a significant role in the coordination, precision, and timing of motor responses. In this study, we develop a simplified cerebellumlike spiking neural network model to control the timing function for the talking robot. The model was designed using the System Generator software in Matlab, and the timing duration of trained speech was estimated using hardware cosimulated with a field programmable gate array board (FPGA). The timing information obtained from the co-simulation, together with the output motor vector, is sent to the talking robot controller to generate a sound with a short duration. The result indicates that this model can be used for short-range timing learning of the talking robot.



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