Cerebral cortex

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The cerebral cortex is a sheet of neural tissue that is outermost to the cerebrum of the mammalian brain. (Wikipedia.org)






Conferences related to Cerebral cortex

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2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

Bioinformatics, Computational Biology, Biomedical Engineering


2010 International Conference of Medical Image Analysis and Clinical Application (MIACA)

MRI,FMRI,DTI,CT,UI,PET,SPECT,EEG,ECG,Medical Image Processing,Gene-chips data analysis,Clinical Medical Images and Signals,Neural Engineering and BCI,Networked E-health Applications and Telemedicine,The Role of Imaging in Radiotherapy Treatment Planning



Periodicals related to Cerebral cortex

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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.


Medical Imaging, IEEE Transactions on

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.


Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...



Most published Xplore authors for Cerebral cortex

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Xplore Articles related to Cerebral cortex

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An adaptive technique for handwritten Tamil character recognition

K. Sarveswaran; D. A. A. C. Ratnaweera 2007 International Conference on Intelligent and Advanced Systems, 2007

Handwritten character recognition is playing a vital role in many areas of modern world. Even though considerable research work has been done in handwritten character recognition, comparatively fewer efforts have been made on handwritten Tamil character recognition. This paper proposes an adaptable method for recognizing handwritten Tamil characters. The adaptability is achieved using a type of artificial neural network called ...


Brain surface conformal parameterization with the slit mapping

Yalin Wang; Xianfeng Gu; Tony F. Chan; Paul M. Thompson; Shing-Tung Yau 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Brain surface conformal mapping has been studied intensively. In this paper, we propose a method that computes a conformal mapping from a multiply connected mesh to the so-called slit domain, which consists of a canonical rectangle or disk in which 3D curved landmarks on the original surfaces are mapped to concentric or parallel lines in the slit domain. After cutting ...


Biological Plausibility in Artificial Neural Networks: An Improvement on Earlier Models

Alberione Braz da Silva; João Luís Garcia Rosa 2008 Seventh International Conference on Machine Learning and Applications, 2008

Biological plausibility is a fact today to artificial neural network (ANN) community. Since researchers have not come to an agreement about this feature yet, they develop their own visions. Two of these are highlighted here: one is related directly to the cerebral cortex biological structure, and the other focuses the neural features and the signaling between neurons. This proposal departs ...


Dynamical intelligent network based on group representation theory

H. Fujisaka; M. Akita; M. Morisue ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483), 2001

This paper presents a method and an example of constructing dynamical intelligent networks with a symmetric coupling structure. The presented network is inspired by a hypothesis on the activity of the neurons connected by a hexagonal lattice structure in the cerebral cortex. In the network information is represented by spatiotemporal patterns in terms of the network activity. The formation of ...


The topographic mapping of EEG using the first positive Lyapunov exponent

Yue-Der Lin; Fok-Ching Chong; Shing-Ming Sung; Te-Son Kuo Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

The electroencephalogram (EEG) signal is known to be chaotic, and it has the characteristics of unpredictability. Dimensional analysis of a chaotic signal is an important index to quantify and qualify its dynamical characteristics. The first positive Lyapunov exponent is one of the dimensional analysis methods, and is a standard method of checking whether a time series is chaotic or not. ...


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Educational Resources on Cerebral cortex

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eLearning

An adaptive technique for handwritten Tamil character recognition

Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on, 2007

Handwritten character recognition is playing a vital role in many areas of modern world. Even though considerable research work has been done in handwritten character recognition, comparatively fewer efforts have been made on handwritten Tamil character recognition. This paper proposes an adaptable method for recognizing handwritten Tamil characters. The adaptability is achieved using a type of artificial neural network called ...


Towards a Brain-Machine-Brain Interface (BMBI) for Anatomical Rewiring of Cortical Circuitry

Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on, 2007

One major hurdle in designing prosthetic devices to restore function after brain injury is the inability for the mature brain to reestablish normal neuronal connection patterns. Combining neurobiological tools with state-of- the-art implantable device technology could potentially offer a novel approach for orchestrating new long-range connections in the cerebral cortex after injury. In this paper, we report on our progress ...


Optimal design of a thermistor probe for surface measurement of cerebral blood flow

Biomedical Engineering, IEEE Transactions on, 1990

Microthermistors are put on the surface of the cerebral cortex to monitor local cerebral blood flow (CBF) continuously with minimal tissue damage and disturbance to the normal physiological state. Using a distributed, dynamic model of the measurement system, the authors simulated the effects of this flow measurement method under isothermal and adiabatic boundary conditions. Numerical results show that the adiabatic ...


Long-term characterization of firing dynamics of spontaneous bursts in cultured neural networks

Biomedical Engineering, IEEE Transactions on, 2004

Extracellular action potentials were recorded from developing dissociated rat neocortical networks continuously for up to 49 days in vitro using planar multielectrode arrays. Spontaneous neuronal activity emerged toward the end of the first week in vitro and from then on exhibited periods of elevated firing rates, lasting for a few days up to weeks, which were largely uncorrelated among different ...


Voting-based active contour segmentation of fMRI images of the brain

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, 2008

We propose an algorithm for automated segmentation of white matter in brain MRI images, which can be used to create connected representations of the gray matter in the cerebral cortex of the brain. These representations then provide meaningful visualizations of brain activity data obtained from fMRI studies. Our algorithm to segment the white matter from the rest of the image ...


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