Hydrogel bioelectronics

Chemical Society Reviews, Год журнала: 2018, Номер 48(6), С. 1642 - 1667

Опубликована: Ноя. 26, 2018

Hydrogels have emerged as a promising bioelectronic interfacing material. This review discusses the fundamentals and recent advances in hydrogel bioelectronics.

Язык: Английский

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Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning

Hippocampus, Год журнала: 2015, Номер 25(10), С. 1073 - 1188

Опубликована: Июль 2, 2015

ABSTRACT Sharp wave ripples (SPW‐Rs) represent the most synchronous population pattern in mammalian brain. Their excitatory output affects a wide area of cortex and several subcortical nuclei. SPW‐Rs occur during “off‐line” states brain, associated with consummatory behaviors non‐REM sleep, are influenced by numerous neurotransmitters neuromodulators. They arise from recurrent system CA3 region SPW‐induced excitation brings about fast network oscillation (ripple) CA1. The spike content is temporally spatially coordinated consortium interneurons to replay fragments waking neuronal sequences compressed format. assist transferring this hippocampal representation distributed circuits support memory consolidation; selective disruption interferes memory. Recently acquired pre‐existing information combined SPW‐R influence decisions, plan actions and, potentially, allow for creative thoughts. In addition widely studied contribution memory, may also affect endocrine function via activation hypothalamic circuits. Alteration physiological mechanisms supporting leads their pathological conversion, “p‐ripples,” which marker epileptogenic tissue can be observed rodent models schizophrenia Alzheimer's Disease. Mechanisms genesis discussed review. © 2015 Authors Hippocampus Published Wiley Periodicals, Inc.

Язык: Английский

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Parameterizing neural power spectra into periodic and aperiodic components

Nature Neuroscience, Год журнала: 2020, Номер 23(12), С. 1655 - 1665

Опубликована: Ноя. 23, 2020

Язык: Английский

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The Theta-Gamma Neural Code

Neuron, Год журнала: 2013, Номер 77(6), С. 1002 - 1016

Опубликована: Март 1, 2013

Язык: Английский

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Deep learning in bioinformatics

Briefings in Bioinformatics, Год журнала: 2016, Номер unknown, С. bbw068 - bbw068

Опубликована: Июль 29, 2016

In the era of big data, transformation biomedical data into valuable knowledge has been one most important challenges in bioinformatics. Deep learning advanced rapidly since early 2000s and now demonstrates state-of-the-art performance various fields. Accordingly, application deep bioinformatics to gain insight from emphasized both academia industry. Here, we review bioinformatics, presenting examples current research. To provide a useful comprehensive perspective, categorize research by domain (i.e. omics, imaging, signal processing) architecture neural networks, convolutional recurrent emergent architectures) present brief descriptions each study. Additionally, discuss theoretical practical issues suggest future directions. We believe that this will insights serve as starting point for researchers apply approaches their studies.

Язык: Английский

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Closed-loop brain training: the science of neurofeedback

Nature reviews. Neuroscience, Год журнала: 2016, Номер 18(2), С. 86 - 100

Опубликована: Дек. 22, 2016

Язык: Английский

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The steady-state visual evoked potential in vision research: A review

Journal of Vision, Год журнала: 2015, Номер 15(6), С. 4 - 4

Опубликована: Май 5, 2015

Periodic visual stimulation and analysis of the resulting steady-state evoked potentials were first introduced over 80 years ago as a means to study sensation perception. From single-channel recording responses modulated light present use sophisticated digital displays composed complex stimuli high-density arrays, methods have been applied in broad range scientific settings.The purpose this article is describe fundamental paradigms for illustrate these principles through research findings across applications vision science.

Язык: Английский

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The log-dynamic brain: how skewed distributions affect network operations

Nature reviews. Neuroscience, Год журнала: 2014, Номер 15(4), С. 264 - 278

Опубликована: Фев. 26, 2014

Язык: Английский

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Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex

Proceedings of the National Academy of Sciences, Год журнала: 2014, Номер 111(40), С. 14332 - 14341

Опубликована: Сен. 9, 2014

Significance One of the main unresolved questions in cognitive neuroscience is how low-level and high-level areas visual cortex interact with each other during perception cognition. We investigated whether cortical oscillations can be used to distinguish feedforward from feedback processing. studied propagation α- γ-oscillations through layers between different areas. induced microstimulation influenced them using a pharmacological approach. The results these experiments demonstrate that propagate direction, whereas α-oscillations direction. conclude high- low-frequency provide markers processing, respectively.

Язык: Английский

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Multi-electrode array technologies for neuroscience and cardiology

Nature Nanotechnology, Год журнала: 2013, Номер 8(2), С. 83 - 94

Опубликована: Фев. 1, 2013

Язык: Английский

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