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PB 13 Errors elicit high-gamma responses in the human cerebral cortex

Clinical Neurophysiology 2017年第10期128卷 e320-e320页

作者： M. Völker S. Berberich L.D.J. Fiederer J. Hammer P. Kršek M. Tomášek P. Marusic P.C. Reinacher V.A. Coenen A. Schulze-Bonhage W. Burgard T. Ball University Medical Center Freiburg iEEG and Brain Imaging Group Freiburg Germany University of Freiburg Graduate School of Robotics Freiburg Germany University of Freiburg Department of Computer Science Freiburg Germany University of Freiburg BrainLinks-BrainTools Freiburg Germany University of Freiburg Faculty of Medicine Freiburg Germany University of Freiburg Faculty of Biology Freiburg Germany Motol University Hospital Department of Neurology Prague Czech Republic University Medical Center Freiburg Stereotactic and Functional Neurosurgery Freiburg Germany University Medical Center Epilepsy Center Freiburg Germany University of Freiburg Autonomous Intelligent Systems Freiburg Germany

The nature of human error processing and the underlying cerebral mechanisms are of great interest in neuroscience, and error-related brain responses may provide information useful to improve the accuracy of brain-machine interfaces (BMIs). So far, many studies focused on error-related responses below 30 Hz. We were interested in error-related effects in the high-gamma band (HGB, 50–150 Hz), as this frequency range is thought to reflect local cortical information processing more directly than lower frequencies. 30 healthy subjects performed a flanker task as classically used to study error processing ( Gehring et al., 1993 ). Under time pressure, the subjects had to use the left or right index finger to respond to the respective flanker. Recordings of 128-channel EEG were acquired within an optimized setting for non-invasive EEG high-gamma mapping in an electromagnetically shielded cabin with full optical decoupling of all devices and high-resolution binocular eye tracking. Additionally, 9 patients with pharmacoresistant epilepsy and implanted stereo-EEG (SEEG) electrodes performed the identical task. As our main result, we show for the first time error-related HGB spectral power modulations up to 120 Hz in non-invasive EEG ( Fig. 1 A), which could also be used for decoding on a single-trial basis. Additional SEEG data ( Fig. 1 B) revealed possible sources of these effects, including the premotor cortex. Additional responses were seen in areas not reflected in the non-invasive EEG, such as hippocampus and insula. Importantly, based on the eye-tracking data, we show that the error-related effects in the gamma range cannot be explained by differences in eye movements including micro-saccades, which had a different spatial distribution compared to the error-related effects. Our findings open a new window for investigation of the complex neuronal processes related to error perception and ensuing behavioral adaptation. The similarity of intracranial and non-invasive

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Automatic and robust single-camera specular highlight removal in cardiac images

Automatic and robust single-camera specular highlight remova...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Samar M. Alsaleh Angelica I. Aviles Pilar Sobrevilla Alicia Casals James K. Hahn Department of Computer Science George Washington University Washington DC U.S.A. Intelligent Robotics and Systems Group Universitat Politecnica de Cataluya Barcelona Spain Department of Applied Mathematics II Universitat Politecnica de Cataluya Barcelona Spain Institute for Bioengineering of Catalonia Universitat Politecnica de Cataluya Barcelona Spain

In computer-assisted beating heart surgeries, accurate tracking of the heart's motion is of huge importance and there is a continuous need to eliminate any source of error that might disturb the tracking process. One source of error is the specular reflection that appears on the glossy surface of the heart. In this paper, we propose a robust solution for the detection and removal of specular highlights. A hybrid color attributes and wavelet based edge projection approach is applied to accurately identify the affected regions. These regions are then recovered using a dynamic search-based inpainting with adaptive windowing. Experimental results demonstrate the precision and efficiency of the proposed method. Moreover, it has a real-time performance and can be generalized to various other applications.

关键词： Image color analysis Heart Image edge detection Wavelet transforms Surgery Tracking

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Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery

Force-feedback sensory substitution using supervised recurre...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Angelica I. Aviles Samar M. Alsaleh Pilar Sobrevilla Alicia Casals Intelligent Robotics and Systems Group Universitat Politecnica de Cataluya Barcelona Spain Department of Computer Science George Washington University Washington DC U.S.A. Department of Applied Mathematics II Universitat Politecnica de Cataluya Barcelona Spain Institute for Bioengineering of Catalonia Universitat Politecnica de Cataluya Barcelona Spain

The lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a force estimation approach that starts with the reconstruction of a 3D deformation structure of the tissue surface by minimizing an energy functional. A Recurrent Neural Network-Long Short Term Memory (RNN-LSTM) based architecture is then presented to accurately estimate the applied forces. According to the results, our solution offers long-term stability and shows a significant percentage of accuracy improvement, ranging from about 54% to 78%, over existing approaches.

关键词： computer architecture Microprocessors Force Surgery Robot sensing systems Estimation

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Detecting abnormal mammographic cases in temporal studies using image registration features

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12th International Workshop on Breast Imaging, IWDM 2014

作者： Martí, Robert Díez, Yago Oliver, Arnau Tortajada, Meritxell Zwiggelaar, Reyer Lladó, Xavier Computer Vision and Robotics Group University of Girona Av. Lluís Santaló 17071 Spain Department of Computer Science Aberystwyth University Ceredigion SY23 3DB United Kingdom

ISBN: (纸本)9783319078861

Image registration is increasingly being used to help radiologists when comparing temporal mammograms for lesion detection and classification. This paper evaluates the use of image and deformation features extracted from image registration results in order to detect abnormal cases with masses. Using a dataset of 264 mammographic images from 66 patients (33 normals and 33 with masses) results show that the use of a non-rigid registration method clearly improves detection results compared to no registration (AUC: 0.76 compared to 0.69). Moreover, feature combination using left and right breasts further improves the performance (AUC to 0.88) compared to single image features. © 2014 Springer International Publishing.

关键词： Image registration

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Breast masses identification through pixel-based texture classification

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12th International Workshop on Breast Imaging, IWDM 2014

作者： Torrents-Barrena, Jordina Puig, Domenec Ferre, Maria Melendez, Jaime Diez-Presa, Lorena Arenas, Meritxell Martí, Joan Department of Computer Engineering and Mathematics University Rovira I Virgili Spain Department of Radiology Radboud University Medical Center Netherlands Radiotherapic Oncology Research Group Hospital Universitari Sant Joan de Reus Spain Computer Vision and Robotics Research Institute University of Girona Spain

ISBN: (纸本)9783319078861

Mammographic image analysis plays an important role in computer-aided breast cancer diagnosis. To improve the existing knowledge, this paper proposes a new efficient pixel-based methodology for tumor vs non-tumor classification. The proposed method firstly computes a Gabor feature pool from the mammogram. This feature set is calculated through multi-sized evaluation windows applied to the probabilistic distribution moments, in order to improve the accuracy of the whole system. To deal with a high dimensional data space and a large amount of features, we apply both a linear and non-linear pixel classification stage by using Support Vector Machines (SVMs). The randomness is encoded when training each SVM using randomly sample sets and, in consequence, randomly selected features from the whole feature bank obtained in the first stage. The proposed method has been validated using real mammographic images from well-known databases and its effectiveness is demonstrated in the experimental section. © 2014 Springer International Publishing.

关键词： Pixels

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Latent space policy search for robotics

Latent space policy search for robotics

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2014 IEEE/RSJ International Conference on intelligent Robots and Systems, IROS 2014

作者： Luck, Kevin Sebastian Neumann, Gerhard Berger, Erik Peters, Jan Amor, Heni Ben Department of Computer Science Technische Universität Darmstadt Darmstadt64289 Germany Department of Mathematics and Computer Science Technische Universität Bergakademie Freiberg Freiberg09599 Germany Institute for Robotics and Intelligent Machines Georgia Institute of Technology GA30332 United States Max Planck Institute for Intelligent Systems Tübingen72076 Germany

ISBN: (纸本)9781479969340

Learning motor skills for robots is a hard task. In particular, a high number of degrees-of-freedom in the robot can pose serious challenges to existing reinforcement learning methods, since it leads to a high-dimensional search space. However, complex robots are often intrinsically redundant systems and, therefore, can be controlled using a latent manifold of much smaller dimensionality. In this paper, we present a novel policy search method that performs efficient reinforcement learning by uncovering the low-dimensional latent space of actuator redundancies. In contrast to previous attempts at combining reinforcement learning and dimensionality reduction, our approach does not perform dimensionality reduction as a preprocessing step but naturally combines it with policy search. Our evaluations show that the new approach outperforms existing algorithms for learning motor skills with high-dimensional robots. © 2014 IEEE.

关键词： Reinforcement learning

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On the approximate period problem

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IAENG International Journal of Applied mathematics 2014年第1期44卷 1-9页

作者： Gorbenko, Anna Ural Federal University Department of Intelligent Systems and Robotics of Mathematics and Computer Science Institute 620083 Ekaterinburg Russia

Different regularities can be used to identify the sequence among other sequences. Regularities allow us to infer an information about the evolution of the sequence. Tandem repeats are the most frequent in the genomes of eukaryotes. Extraction of regularities is a widely studied problem. However, searching for exact tandem repeats can be too restrictive. So, a natural extension of the repetition is to allow errors. In this paper, we consider the approximate period problem. In particular, we consider an explicit reduction from the approximate period problem to the satisfiability problem and present experimental results for different satisfiability algorithms. Also, we consider the approximate period problem for sequences of motor primitives of robots. In particular, we use the approximate period problem to obtain some meta-parameters that adapt the global motion behavior. We try to use such metaparameters for learning to generalize motor primitives to a different behavior by trial and error without re-learning the task.

关键词： Genetic algorithms

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The discrete minimum constraint removal motion planning problem

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AIP Conference Proceedings 2015年第1期1648卷

作者： Anna Gorbenko Vladimir Popov Ural Federal University Department of Intelligent Systems and Robotics Mathematics and Computer Science Institute Lenin st. 51 620083 Ekaterinburg Russian Federation

Many planning problems for robots are of considerable interest. In this paper, we consider the discrete minimum constraint removal motion planning problem that can be used for a motion planning formulation with explanations for failure. We consider an efficient approach to solve the problem. In particular, we consider an explicit reduction from the decision version of the problem to the satisfiability problem. We present the results of computational experiments for different satisfiability algorithms.

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The problem of robot swarms control with only global signals

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AIP Conference Proceedings 2015年第1期1648卷

Problems of swarm robotics are extensively studied in contemporary robotics. In this paper, we consider the problem of robot swarms control with only global signals. We propose an efficient approach to solve the problem. In particular, we consider an explicit reduction from the decision version of the problem to the satisfiability problem. For different satisfiability algorithms, we present the results of computational experiments.

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