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Computational neuroscience

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https://www.readbyqxmd.com/read/28108795/editorial-board-of-biological-cybernetics-advances-in-computational-neuroscience
#1
(no author information available yet)
No abstract text is available yet for this article.
January 21, 2017: Biological Cybernetics
https://www.readbyqxmd.com/read/28106355/comparative-study-of-fiberoptic-guided-versus-intubating-laryngeal-mask-airway-assisted-awake-orotracheal-intubation-in-patients-with-unstable-cervical-spine-a-randomized-controlled-trial
#2
Tanmay Jadhav, Kamath Sriganesh, Madhusudan K Reddy, Dhritiman Chakrabarti
BACKGROUND: A safe airway technique minimizes intubation-associated cervical-spine movement and consequent neurological injury in patients with unstable cervical spine (UCS). Awake fiberoptic-guided intubation (FGI) is preferred in patients with UCS. Alternatively, intubating laryngeal mask airway assisted intubation (ILMA-AI) can be performed both during elective and emergency, requires less expertise and is cost-effective. This study evaluated cervical-spine movement during FGI and ILMA-AI in patients with UCS...
January 20, 2017: Minerva Anestesiologica
https://www.readbyqxmd.com/read/28102460/neural-mass-models-as-a-tool-to-investigate-neural-dynamics-during-seizures
#3
Tatiana Kameneva, Tianlin Ying, Ben Guo, Dean R Freestone
Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based on a model that has been shown to replicate the electrophysiological dynamics observed during seizures. The results provide insights into possible mechanisms for seizure spread. We observe that epileptiform activity remains localized to a pathological region when a global connectivity parameter is less than a critical value...
January 19, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28093360/ultra-high-field-mri-advancing-systems-neuroscience-towards-mesoscopic-human-brain-function
#4
Serge O Dumoulin, Alessio Fracasso, Wietske van der Zwaag, Jeroen C W Siero, Natalia Petridou
Human MRI scanners at ultra-high magnetic field strengths of 7 T and higher are increasingly available to the neuroscience community. A key advantage brought by ultra-high field MRI is the possibility to increase the spatial resolution at which data is acquired, with little reduction in image quality. This opens a new set of opportunities for neuroscience, allowing investigators to map the human cortex at an unprecedented level of detail. In this review, we present recent work that capitalizes on the increased signal-to-noise ratio available at ultra-high field and discuss the theoretical advances with a focus on sensory and motor systems neuroscience...
January 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28092321/dexmedetomidine-disrupts-the-local-and-global-efficiencies-of-large-scale-brain-networks
#5
Javeria A Hashmi, Marco L Loggia, Sheraz Khan, Lei Gao, Jieun Kim, Vitaly Napadow, Emery N Brown, Oluwaseun Akeju
BACKGROUND: A clear understanding of the neural basis of consciousness is fundamental to research in clinical and basic neuroscience disciplines and anesthesia. Recently, decreased efficiency of information integration was suggested as a core network feature of propofol-induced unconsciousness. However, it is unclear whether this finding can be generalized to dexmedetomidine, which has a different molecular target. METHODS: Dexmedetomidine was administered as a 1-μg/kg bolus over 10 min, followed by a 0...
January 16, 2017: Anesthesiology
https://www.readbyqxmd.com/read/28086889/hybrid-brain-computer-interface-for-biomedical-cyber-physical-system-application-using-wireless-embedded-eeg-systems
#6
Rifai Chai, Ganesh R Naik, Sai Ho Ling, Hung T Nguyen
BACKGROUND: One of the key challenges of the biomedical cyber-physical system is to combine cognitive neuroscience with the integration of physical systems to assist people with disabilities. Electroencephalography (EEG) has been explored as a non-invasive method of providing assistive technology by using brain electrical signals. METHODS: This paper presents a unique prototype of a hybrid brain computer interface (BCI) which senses a combination classification of mental task, steady state visual evoked potential (SSVEP) and eyes closed detection using only two EEG channels...
January 7, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28079187/a-spiking-neural-network-model-of-3d-perception-for-event-based-neuromorphic-stereo-vision-systems
#7
Marc Osswald, Sio-Hoi Ieng, Ryad Benosman, Giacomo Indiveri
Stereo vision is an important feature that enables machine vision systems to perceive their environment in 3D. While machine vision has spawned a variety of software algorithms to solve the stereo-correspondence problem, their implementation and integration in small, fast, and efficient hardware vision systems remains a difficult challenge. Recent advances made in neuromorphic engineering offer a possible solution to this problem, with the use of a new class of event-based vision sensors and neural processing devices inspired by the organizing principles of the brain...
January 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28077259/the-growth-of-language-universal-grammar-experience-and-principles-of-computation
#8
REVIEW
Charles Yang, Stephen Crain, Robert C Berwick, Noam Chomsky, Johan J Bolhuis
YANG, C., S. Crain, R.C. Berwick, N. Chomsky and J.J. Bolhuis. The growth of language. NEUROSCI BIOBEHAV REV VOL (ISSUE) XXX-XXX, 2016. Human infants develop language remarkably rapidly and without overt instruction. We argue that the distinctive ontogenesis of child language arises from the interplay of three factors: domain-specific principles of language (Universal Grammar), external experience, and properties of non-linguistic domains of cognition including general learning mechanisms and principles of efficient computation...
January 7, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28074777/cell-assemblies-at-multiple-time-scales-with-arbitrary-lag-constellations
#9
Eleonora Russo, Daniel Durstewitz
Hebb's idea of a cell assembly as the fundamental unit of neural information processing has dominated neuroscience like no other theoretical concept within the past 60 years. A range of different physiological phenomena, from precisely synchronized spiking to broadly simultaneous rate increases, has been subsumed under this term. Yet progress in this area is hampered by the lack of statistical tools that would enable to extract assemblies with arbitrary constellations of time lags, and at multiple temporal scales, partly due to the severe computational burden...
January 11, 2017: ELife
https://www.readbyqxmd.com/read/28068420/graphics-processing-unit-accelerated-code-for-computing-second-order-wiener-kernels-and-spike-triggered-covariance
#10
Omer Mano, Damon A Clark
Sensory neuroscience seeks to understand and predict how sensory neurons respond to stimuli. Nonlinear components of neural responses are frequently characterized by the second-order Wiener kernel and the closely-related spike-triggered covariance (STC). Recent advances in data acquisition have made it increasingly common and computationally intensive to compute second-order Wiener kernels/STC matrices. In order to speed up this sort of analysis, we developed a graphics processing unit (GPU)-accelerated module that computes the second-order Wiener kernel of a system's response to a stimulus...
2017: PloS One
https://www.readbyqxmd.com/read/28057502/variations-of-the-morris-water-maze-task-to-comparatively-assess-human-and-rodent-place-navigation
#11
Robby Schoenfeld, Thomas Schiffelholz, Christian Beyer, Bernd Leplow, Nigel Foreman
Performance in the Morris water maze has been widely used in routine behavioural studies of rodents. Since the advent of computer-based virtual environments, adaptations of the water maze have become available for human research. Despite decades of comparative neuroscience, formal comparisons of human and animal place navigation performance are rarely. We studied 36 subjects, 18 young male mice in a Morris water maze and 18 male students in a virtual version. Quantitative measures (escape latencies, distances and platform crossings) indicated no discernable differences between human and rodent performance, reinforcing the task's general validity and its implied cross-species comparability...
January 2, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28056343/perceptual-decision-making-in-rodents-monkeys-and-humans
#12
REVIEW
Timothy D Hanks, Christopher Summerfield
Perceptual decision making is the process by which animals detect, discriminate, and categorize information from the senses. Over the past two decades, understanding how perceptual decisions are made has become a central theme in the neurosciences. Exceptional progress has been made by recording from single neurons in the cortex of the macaque monkey and using computational models from mathematical psychology to relate these neural data to behavior. More recently, however, the range of available techniques and paradigms has dramatically broadened, and researchers have begun to harness new approaches to explore how rodents and humans make perceptual decisions...
January 4, 2017: Neuron
https://www.readbyqxmd.com/read/28047131/su-g-iep2-14-validation-of-plastimatch-mabs-a-tool-for-automatic-image-segmentation
#13
P Zaffino, P Raudaschl, K Fritscher, M Spadea, G Sharp
PURPOSE: In this work we present the validation of Plastimatch MABS, an open source software for multi atlas based segmentation of medical images. METHODS: The validation was performed on two different clinical datasets: 1) 25 CT image volumes of patients treated for H&N cancer; 2) 20 MRI series of patients having a neurological diagnosis. For the first set, 8 organs at risk to be spared during the therapy were segmented: mandible, brainstem and both left/right optic nerves, parotid and submandibular glands...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28044019/resolving-the-neural-dynamics-of-visual-and-auditory-scene-processing-in-the-human-brain-a-methodological-approach
#14
REVIEW
Radoslaw Martin Cichy, Santani Teng
In natural environments, visual and auditory stimulation elicit responses across a large set of brain regions in a fraction of a second, yielding representations of the multimodal scene and its properties. The rapid and complex neural dynamics underlying visual and auditory information processing pose major challenges to human cognitive neuroscience. Brain signals measured non-invasively are inherently noisy, the format of neural representations is unknown, and transformations between representations are complex and often nonlinear...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28032785/psychology-and-neuroscience-how-close-are-we-to-an-integrative-perspective-reply-to-staats-2016-and-tryon-2016
#15
Seth J Schwartz, Scott O Lilienfeld, Alan Meca, Katheryn C Sauvigné
This article responds to commentaries written by Warren Tryon (2016) and Arthur Staats (2016) concerning Schwartz, Lilienfeld, Meca, and Sauvigné (2016). In this reply, we reiterate our key thesis-that psychology, and the problems it addresses, are likely best approached from multiple levels of analysis. Unlike Tryon, we are not convinced that neural networks and computational neuroscience provide a single template through which all of psychology can be integrated. We are in agreement with Staats that attempts to reduce psychological phenomena to neural events alone are likely to be misleading and unproductive...
December 2016: American Psychologist
https://www.readbyqxmd.com/read/28032661/evolutionary-constraints-on-human-object-perception
#16
Sarah E Koopman, Bradford Z Mahon, Jessica F Cantlon
Language and culture endow humans with access to conceptual information that far exceeds any which could be accessed by a non-human animal. Yet, it is possible that, even without language or specific experiences, non-human animals represent and infer some aspects of similarity relations between objects in the same way as humans. Here, we show that monkeys' discrimination sensitivity when identifying images of animals is predicted by established measures of semantic similarity derived from human conceptual judgments...
December 29, 2016: Cognitive Science
https://www.readbyqxmd.com/read/28032396/computational-neuroscience-approach-to-biomarkers-and-treatments-for-mental-disorders
#17
Noriaki Yahata, Kiyoto Kasai, Mitsuo Kawato
Psychiatry research has long experienced a stagnation stemming from a lack of understanding of the neurobiological underpinnings of phenomenologically defined mental disorders. Recently, the application of computational neuroscience to psychiatry research has shown great promise in establishing a link between phenomenological and pathophysiological aspects of mental disorders, thereby recasting current nosology in more biologically meaningful dimensions. In this review, we highlight recent investigations in computational neuroscience that undertook either theory- or data-driven approaches to quantitatively delineate the mechanisms of mental disorders...
December 29, 2016: Psychiatry and Clinical Neurosciences
https://www.readbyqxmd.com/read/28026782/a-hybrid-cmos-memristor-neuromorphic-synapse
#18
Mostafa Rahimi Azghadi, Bernabe Linares-Barranco, Derek Abbott, Philip H W Leong
Although data processing technology continues to advance at an astonishing rate, computers with brain-like processing capabilities still elude us. It is envisioned that such computers may be achieved by the fusion of neuroscience and nano-electronics to realize a brain-inspired platform. This paper proposes a high-performance nano-scale Complementary Metal Oxide Semiconductor (CMOS)-memristive circuit, which mimics a number of essential learning properties of biological synapses. The proposed synaptic circuit that is composed of memristors and CMOS transistors, alters its memristance in response to timing differences among its pre- and post-synaptic action potentials, giving rise to a family of Spike Timing Dependent Plasticity (STDP)...
December 22, 2016: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28026746/robust-estimation-of-sparse-narrowband-spectra-from-binary-neuronal-spiking-data
#19
Sina Miran, Patrick Purdon, Emery Brown, Behtash Babadi
OBJECTIVE: Characterizing the spectral properties of neuronal responses is an important problem in computational neuroscience, as it provides insight into the spectral organization of the underlying functional neural processes. Although spectral analysis techniques are widely used in the analysis of noninvasive neural recordings such as EEG, their application to spiking data is limited due to the binary and non-linear nature of neuronal spiking. In this paper, we address the problem of estimating the power spectral density of the neural covariate driving the spiking statistics of a neuronal population from binary observations...
December 22, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27977419/a-computational-model-that-predicts-behavioral-sensitivity-to-intracortical-microstimulation
#20
Sungshin Kim, Thierri Callier, Sliman J Bensmaia
OBJECTIVE: Intracortical microstimulation (ICMS) is a powerful tool to investigate the neural mechanisms of perception and can be used to restore sensation for patients who have lost it. While sensitivity to ICMS has previously been characterized, no systematic framework has been developed to summarize the detectability of individual ICMS pulse trains or the discriminability of pairs of pulse trains. APPROACH: We develop a simple simulation that describes the responses of a population of neurons to a train of electrical pulses delivered through a microelectrode...
December 15, 2016: Journal of Neural Engineering
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