检索结果-内蒙古大学图书馆

Coding Model of Visual Stimuli in the Optic Nerve

IEEE LATIN AMERICA TRANSACTIONS 2018年第7期16卷 1849-1854页

作者： Soletta, J. H. Piza, A. G. Lucianna, F. A. Albarracin, A. L. Farfan, F. D. UNT FACET Lab Medios & Interfases San Miguel De Tucuman Tucuman Argentina UNT FACET Dept Bioingn San Miguel De Tucuman Tucuman Argentina UNT CONICET Inst Super Invest Biol San Miguel De Tucuman Tucuman Argentina

Electrophysiological records are a standard procedure in the study of neuronal coding in the visual system. In this paper we propose a model that can predict the electrophysiological record of electrical activity in the optic nerve evoked by visual stimuli projected on the retina. This development contemplates certain processes of coding the visual information realized in retina and how it is spread by the nerve fibers that compose the optic nerve. The results reveal that the response of the model is adequately adjusted to the experimentally obtained potentials.

关键词： neural code Optic Nerve Visual system models

来源：评论

学校读者我要写书评

暂无评论

Spiking time-dependent plasticity leads to efficient coding of predictions

引用

BIOLOGICAL CYBERNETICS 2020年第1期114卷 43-61页

作者： Vilimelis Aceituno, Pau Ehsani, Masud Jost, Juergen Max Planck Inst Math Sci Inselstr 22 D-04103 Leipzig Germany Max Planck Sch Cognit Stephanstr 1a D-04103 Leipzig Germany Santa Fe Inst 1399 Hyde Pk Rd Santa Fe NM 87501 USA

Latency reduction in postsynaptic spikes is a well-known effect of spiking time-dependent plasticity. We expand this notion for long postsynaptic spike trains on single neurons, showing that, for a fixed input spike train, STDP reduces the number of postsynaptic spikes and concentrates the remaining ones. Then, we study the consequences of this phenomena in terms of coding, finding that this mechanism improves the neural code by increasing the signal-to-noise ratio and lowering the metabolic costs of frequent stimuli. Finally, we illustrate that the reduction in postsynaptic latencies can lead to the emergence of predictions.

关键词： Spiking time-dependent plasticity neural code Predictions neural adaptation Synchronization

来源：评论

学校读者我要写书评

暂无评论

Advances in Two-Photon Scanning and Scanless Microscopy Technologies for Functional neural Circuit Imaging

引用

PROCEEDINGS OF THE IEEE 2017年第1期105卷 139-157页

作者： Schultz, Simon R. Copeland, Caroline S. Foust, Amanda J. Quicke, Peter Schuck, Renaud Imperial Coll London Ctr Neurotechnol London SW7 2AZ England Imperial Coll London Dept Bioengn London SW7 2AZ England

Recent years have seen substantial developments in technology for imaging neural circuits, raising the prospect of large-scale imaging studies of neural populations involved in information processing, with the potential to lead to step changes in our understanding of brain function and dysfunction. In this paper, we will review some key recent advances: improved fluorophores for single-cell resolution functional neuroimaging using a two-photon microscope;improved approaches to the problem of scanning active circuits;and the prospect of scanless microscopes which overcome some of the bandwidth limitations of current imaging techniques. These advances in technology for experimental neuroscience have in themselves led to technical challenges, such as the need for the development of novel signal processing and data analysis tools in order to make the most of the new experimental tools. We review recent work in some active topics, such as region of interest segmentation algorithms capable of demixing overlapping signals, and new highly accurate algorithms for calcium transient detection. These advances motivate the development of new data analysis tools capable of dealing with spatial or spatiotemporal patterns of neural activity that scale well with pattern size.

关键词： Acousto-optic beamlets calcium imaging calcium transient detection cortical circuits galvanometric scanning holography lightsheet microscopy multiphoton imaging neural code neurotechnology

来源：评论

学校读者我要写书评

暂无评论

Signal switching may enhance processing power of the brain

引用

TRENDS IN COGNITIVE SCIENCES 2024年第7期28卷 600-613页

作者： Groh, Jennifer M. Schmehl, Meredith N. Caruso, Valeria C. Tokdar, Surya T. Duke Univ Dept Psychol & Neurosci Durham NC 27705 USA Duke Univ Dept Neurobiol Durham NC 27705 USA Duke Univ Dept Biomed Engn Durham NC 27705 USA Duke Univ Dept Comp Sci Durham NC 27705 USA Duke Univ Ctr Cognit Neurosci Durham NC 27705 USA Duke Univ Duke Inst Brain Sci Durham NC 27705 USA Univ Michigan Dept Psychiat Ann Arbor MI 48109 USA Duke Univ Dept Stat Sci Durham NC 27705 USA

Our ability to perceive multiple objects is mysterious. Sensory neurons are broadly tuned, producing potential overlap in the populations of neurons activated by each object in a scene. This overlap raises questions about how distinct information is retained about each item. We present a novel signal switching theory of neural representation, which posits that neural signals may interleave representations of individual items across time. Evidence for this theory comes from new statistical tools that overcome the limitations inherent to standard time-and-trial-pooled assessments of neural signals. Our theory has implications for diverse domains of neuroscience, including attention, figure binding/scene segregation, oscillations, and divisive normalization. The general concept of switching between functions could also lend explanatory power to theories of grounded cognition.

关键词： multiplexing neural representation neural code multiplicity

来源：评论

学校读者我要写书评

暂无评论

Integrating information from different senses in the auditory cortex

引用

BIOLOGICAL CYBERNETICS 2012年第11-12期106卷 617-625页

作者： King, Andrew J. Walker, Kerry M. M. Univ Oxford Dept Physiol Anat & Genet Oxford OX1 3PT England

Multisensory integration was once thought to be the domain of brain areas high in the cortical hierarchy, with early sensory cortical fields devoted to unisensory processing of inputs from their given set of sensory receptors. More recently, a wealth of evidence documenting visual and somatosensory responses in auditory cortex, even as early as the primary fields, has changed this view of cortical processing. These multisensory inputs may serve to enhance responses to sounds that are accompanied by other sensory cues, effectively making them easier to hear, but may also act more selectively to shape the receptive field properties of auditory cortical neurons to the location or identity of these events. We discuss the new, converging evidence that multiplexing of neural signals may play a key role in informatively encoding and integrating signals in auditory cortex across multiple sensory modalities. We highlight some of the many open research questions that exist about the neural mechanisms that give rise to multisensory integration in auditory cortex, which should be addressed in future experimental and theoretical studies.

关键词： Multisensory Auditory cortex Perception Multiplex Information neural code Visual Somatosensory

来源：评论

学校读者我要写书评

暂无评论

引用

IEEE TRANSACTIONS ON neural NETWORKS 2004年第5期15卷 957-962页

作者： Mikula, S Niebur, E Johns Hopkins Univ Krieger Mind Brain Inst Baltimore MD 21218 USA Johns Hopkins Univ Dept Neurosci Baltimore MD 21218 USA

We present a solution for the steady-state output rate of an ideal coincidence detector receiving an arbitrary number of excitatory and inhibitory input spike trains. All excitatory spike trains have identical binomial count distributions (which includes Poisson statistics as a special case) and arbitrary pairwise cross correlations between them. The same applies to the inhibitory inputs, and the rates and correlation functions of excitatory and inhibitory populations may be the same or different from each other. Thus, for each population independently, the correlation may range from complete independence to perfect correlation (identical processes). We find that inhibition, if made sufficiently strong, will result in an inverted U-shaped curve for the output rate of a coincidence detector as a function of input rates for the case of identical inhibitory and excitory input rates. This leads to the prediction that higher presynaptic (input) rates may lead to lower postsynaptic (output) rates where the output rate may rail faster than the inverse of the input rate, and shows some qualitative similarities to the case of purely excitatory inputs with synaptic depression. In general, we find that including inhibition invariably and significantly increases the behavioral repertoire of the coincidence detector over the case of pure excitatory input.

关键词： coincidence detector inhibition neural code synchrony

来源：评论

学校读者我要写书评

暂无评论

neural population coding: combining insights from microscopic and mass signals

引用

TRENDS IN COGNITIVE SCIENCES 2015年第3期19卷 162-172页

作者： Panzeri, Stefano Macke, Jakob H. Gross, Joachim Kayser, Christoph Ist Italiano Tecnol Ctr Neurosci & Cognit Syst I-38068 Rovereto Italy Max Planck Inst Biol Cybernet Dept Physiol Cognit Proc D-72076 Tubingen Germany Max Planck Inst Biol Cybernet Neural Computat & Behav Grp D-72076 Tubingen Germany Bernstein Ctr Computat Neurosci Tubingen Germany Werner Reichardt Ctr Integrat Neurosci Tubingen Germany Univ Glasgow Inst Neurosci & Psychol Glasgow G12 8QB Lanark Scotland

Behavior relies on the distributed and coordinated activity of neural populations. Population activity can be measured using multi-neuron recordings and neuroimaging. neural recordings reveal how the heterogeneity, sparseness, timing, and correlation of population activity shape information processing in local networks, whereas neuroimaging shows how long-range coupling and brain states impact on local activity and perception. To obtain an integrated perspective on neural information processing we need to combine knowledge from both levels of investigation. We review recent progress of how neural recordings, neuroimaging, and computational approaches begin to elucidate how interactions between local neural population activity and large-scale dynamics shape the structure and coding capacity of local information representations, make them state-dependent, and control distributed populations that collectively shape behavior.

关键词： neural code cross-correlation relative timing sensory processing oscillation multiscale processing neuroimaging state-dependent coding

来源：评论

学校读者我要写书评

暂无评论

Computational challenges and opportunities for a bi-directional artificial retina

引用

JOURNAL OF neural ENGINEERING 2020年第5期17卷 055002-055002页

作者： Shah, Nishal P. Chichilnisky, E. J. Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Hansen Expt Phys Lab Stanford CA 94305 USA Stanford Univ Dept Neurosurg Stanford CA 94305 USA Stanford Univ Dept Ophthalmol Stanford CA 94305 USA

A future artificial retina that can restore high acuity vision in blind people will rely on the capability to both read (observe) and write (control) the spiking activity of neurons using an adaptive, bi-directional and high-resolution device. Although current research is focused on overcoming the technical challenges of building and implanting such a device, exploiting its capabilities to achieve more acute visual perception will also require substantial computational advances. Using high-density large-scale recording and stimulation in the primate retina with anex vivomulti-electrode array lab prototype, we frame several of the major computational problems, and describe current progress and future opportunities in solving them. First, we identify cell types and locations from spontaneous activity in the blind retina, and then efficiently estimate their visual response properties by using a low-dimensional manifold of inter-retina variability learned from a large experimental dataset. Second, we estimate retinal responses to a large collection of relevant electrical stimuli by passing current patterns through an electrode array, spike sorting the resulting recordings and using the results to develop a model of evoked responses. Third, we reproduce the desired responses for a given visual target by temporally dithering a diverse collection of electrical stimuli within the integration time of the visual system. Together, these novel approaches may substantially enhance artificial vision in a next-generation device.

关键词： retinal prosthesis artificial retina electrical stimulation brain-machine interface neural code artificial vision

来源：评论

学校读者我要写书评

暂无评论

Hippocampal theta rhythm and running speed: A reconsideration using within-single trial analysis

引用

NEUROCOMPUTING 2001年 38卷 1567-1574页

作者： Shin, J Talnov, A Matsumoto, G Brankack, A RIKEN Brain Sci Inst Wako Saitama 3510198 Japan

Previous studies of the connection between frequency of hippocampal rhythmical slow activity (theta rhythm) and speed of locomotion using both linear tracks and wheels have provided inconsistent if not contradictory results. To help clarify the situation single trials of hippocampal EEG were analysed using wavelet time-frequency analysis and we found that theta frequency within single trials shows positive or negative correlation with wheel running speed, even when mean theta frequency is not correlated with mean wheel running speed. As the mean running speed increases and the standard deviation of running speed decreases in a single trial, the correlation between theta frequency and wheel running speed within the single trial tends to be positive. Trials with abrupt decelerations have lower means and higher standard deviations of speed and tend to have negative correlations within single trials. In addition, we observed a shift of dominant theta frequency from 7.5-8 Hz to 8.5-9 Hz during spontaneous deceleration behaviour without involving any cognitive task, which has been connected to learning, attention and cognition. (C) 2001 Elsevier Science B.V. All rights reserved.

关键词： hippocampal theta rhythm locomotion speed neural code

来源：评论

学校读者我要写书评

暂无评论

Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron

引用

JOURNAL OF COMPUTATIONAL NEUROSCIENCE 1999年第3期7卷 247-254页

作者： Giugliano, M Bove, M Grattarola, M Univ Genoa Dept Biophys & Elect Engn Bioelect & Neuroengn Grp I-16145 Genoa Italy

Activity-dependent slow biochemical regulation processes, affecting intrinsic properties of a neuron, might play an important role in determining information processing strategies in the nervous system. We introduce second-order biochemical phenomena into a linear leaky integrate-and-fire model neuron together with a detailed kinetic description for synaptic signal transduction. In this framework, we investigate the membrane intrinsic electrical properties differentiation, showing the appearance of activity-dependent shifts between integration and temporal coincidence detection operating mode, for the single unit of a network.

关键词： integrate-and-fire dynamic regulation neural code integration coincidence detection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：