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A central question in neuroscience is to understand how noisy firing patterns are used to transmit information. Because neural spiking is noisy, spiking patterns are often quantified via pairwise correlations, or the probability that two…

神经元与认知 · 定量生物学 2017-05-29 Andrea K. Barreiro , Cheng Ly

Recordings from area V4 of monkeys have revealed that when the focus of attention is on a visual stimulus within the receptive field of a cortical neuron, two distinct changes can occur: The firing rate of the neuron can change and there…

神经元与认知 · 定量生物学 2007-05-23 Paul H. E. Tiesinga , Jean-Marc Fellous , Emilio Salinas , Jorge V. Jose , Terrence J. Sejnowski

Population-wide oscillations are ubiquitously observed in mesoscopic signals of cortical activity. In these network states a global oscillatory cycle modulates the propensity of neurons to fire. Synchronous activation of neurons has been…

神经元与认知 · 定量生物学 2017-07-04 Tobias Kühn , Moritz Helias

Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their responses to repeated presentations of identical stimuli. This motivates the use of…

The behaviour of neurons under the influence of periodic external input has been modelled very successfully by circle maps. The aim of this note is to extend certain aspects of this analysis to a much more general class of forcing…

神经元与认知 · 定量生物学 2009-03-27 T. Jaeger

A population of firing neurons is expected to carry not only mean firing rate but also its fluctuation and synchrony among neurons. In order to examine this possibility, we have studied responses of neuronal ensembles to three kinds of…

无序系统与神经网络 · 物理学 2008-02-18 Hiode Hasegawa

Neurons fire irregularly on multiple timescales when stimulated with a periodic pulse train. This raises two questions: Does this irregularity imply significant intrinsic stochasticity? Can existing neuron models be readily extended to…

细胞行为 · 定量生物学 2013-01-14 Daniel Soudry , Ron Meir

A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but…

神经元与认知 · 定量生物学 2024-01-18 Lucas Rudelt , Daniel González Marx , F. Paul Spitzner , Benjamin Cramer , Johannes Zierenberg , Viola Priesemann

We would like to know whether the statistics of neuronal responses vary across cortical areas. We examined stimulus-elicited spike count response distributions in V1 and IT cortices of awake monkeys. In both areas the distribution of spike…

神经元与认知 · 定量生物学 2007-05-23 Ethan D. Gershon , Matthew C. Wiener , Peter E. Latham , Barry J. Richmond

Spike correlations between neurons are ubiquitous in the cortex, but their role is at present not understood. Here we describe the firing response of a leaky integrate-and-fire neuron (LIF) when it receives a temporarily correlated input…

神经元与认知 · 定量生物学 2007-10-15 Ruben Moreno-Bote , Alfonso Renart , Nestor Parga

We study the effect of intrinsic heterogeneity on the activity of a population of leaky integrate-and-fire neurons. By rescaling the dynamical equation, we derive mathematical relations between multiple neuronal parameters and a fluctuating…

神经元与认知 · 定量生物学 2013-08-21 Man Yi Yim , Ad Aertsen , Stefan Rotter

Single trial analyses of ensemble activity in alert animals demonstrate that cortical circuits dynamics evolve through temporal sequences of metastable states. Metastability has been studied for its potential role in sensory coding, memory…

神经元与认知 · 定量生物学 2016-03-23 Luca Mazzucato , Alfredo Fontanini , Giancarlo La Camera

Computational models of cortical activity provide insight into the mechanisms of higher-order processing in the human brain including planning, perception and the control of movement. Activity in the cortex is ongoing even in the absence of…

神经元与认知 · 定量生物学 2023-07-07 Lysea Haggie , Thor Besier , Angus McMorland

We use mean field theory to study the response properties of a simple randomly-connected model cortical network of leaky integrate-and-fire neurons with balanced excitation and inhibition. The formulation permits arbitrary temporal…

无序系统与神经网络 · 物理学 2007-05-23 John Hertz , Barry Richmond , Kristian Nilsen

At the single-neuron level, precisely timed spikes can either constitute firing-rate codes or spike-pattern codes that utilize the relative timing between consecutive spikes. There has been little experimental support for the hypothesis…

神经元与认知 · 定量生物学 2009-12-18 Hugo Gabriel Eyherabide , Ariel Rokem , Andreas V. M. Herz , Ines Samengo

We theoretically describe how weak signals may be efficiently transmitted throughout more than one frequency range in noisy excitable media by kind of stochastic multiresonance. This serves us here to reinterpret recent experiments in…

数据分析、统计与概率 · 物理学 2015-05-27 J. J. Torres , J. Marro , J. F. Mejias

Various classes of neurons alternate between high-frequency discharges and silent intervals. This phenomenon is called burst firing. To analyze burst activity in an insect system, grasshopper auditory receptor neurons were recorded in vivo…

神经元与认知 · 定量生物学 2008-07-17 Hugo G. Eyherabide , Ariel Rokem , Andreas V. M. Herz , Ines Samengo

Neural oscillations are universal phenomena and can be observed at different levels of neural systems, from single neuron to macroscopic brain. The frequency of those oscillations are related to the brain functions. However, little is know…

神经元与认知 · 定量生物学 2015-07-30 Lianchun Yu , Longfei Wang , Fei Jia , Duojie Jia

A population of firing neurons is expected to carry information not only by mean firing rate but also by fluctuation and synchrony among neurons. In order to examine this possibility, we have studied responses of neuronal ensembles to three…

神经元与认知 · 定量生物学 2009-11-13 Hideo Hasegawa

In many cases, the computation of a neural system can be reduced to a receptive field, or a set of linear filters, and a thresholding function, or gain curve, which determines the firing probability; this is known as a linear/nonlinear…

神经元与认知 · 定量生物学 2014-11-12 Sungho Hong , Brian N. Lundstrom , Adrienne Fairhall
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