Adaptation Reduces Variability of the Neuronal Population Code

Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation

Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomenon affects stimulus representation in the later stages of cortical sensory processing. Here, we show that a temporally sparse and reliable stimulus representation develops naturally in a network with adapting neurons. We find that cellular adaptation plays a critical role in the transient reduction of the trial-by-trial variability of cortical spiking, providing an explanation for a wide-spread and hitherto unexplain…

具有幂律分布雪崩的相干爆发动力学状态从适应性神经元的集体随机动力学中涌现

Emergence of a dynamical state of coherent bursting with power-law distributed avalanches from collective stochastic dynamics of adaptive neurons

该研究通过具有随机输入的适应性神经元网络证明，幂律分布神经元雪崩可由兴奋与适应性平衡下的相干爆发产生，无需临界相变解释。

Dynamical phase separation on rhythmogenic neuronal networks

We explore the dynamics of the preBötzinger complex, the mammalian central pattern generator with $N \sim 10^3$ neurons, which produces a collective metronomic signal that times the inspiration. Our analysis is based on a simple firing-rate model of excitatory neurons with dendritic adaptation (the Feldman Del Negro model [Nat. Rev. Neurosci. 7, 232 (2006), Phys. Rev. E 2010 :051911]) interacting on a fixed, directed Erdős-Rényi network. In the all-to-all coupled variant of the model, there is spontaneous symmetry breaking in which some fraction of the neurons become stuck in a high firing-rat…

通过相关神经变异性学习整合部分以形成整体

Learn to integrate parts for whole through correlated neural variability

本文提出一种统计力学理论，将知觉信息编码于感觉神经元的相关变异性中，并转化为下游放电率，通过脉冲神经网络实现高保真方向恢复和更优图像分类，挑战了神经协方差的次要地位。

Long anisotropic absolute refractory periods with rapid rise-times to reliable responsiveness

Refractoriness is a fundamental property of excitable elements, such as neurons, indicating the probability for re-excitation in a given time-lag, and is typically linked to the neuronal hyperpolarization following an evoked spike. Here we measured the refractory periods (RPs) in neuronal cultures and observed that an average anisotropic absolute RP could exceed 10 milliseconds and its tail 20 milliseconds, independent of a large stimulation frequency range. It is an order of magnitude longer than anticipated and comparable with the decaying membrane potential timescale. It is followed by a sh…

A model of population dynamics - further investigations

The population is composed of individuals characterised by their genetic strings, phenotypes and ages. We discuss the influence of probabilities of survival of the individuals on the dynamics and phenotypic variability of the population. We show that constant survival probabilities of individuals are propitious for preserving phenotypic variability of the population. For constant survival probabilities oscillations of 'the average fitness' of the population and normal distributions of the phenotypes are observed. When the probabilities of survival are directly proportinal to the individuals' a…

网格蛋白介导内吞过程中的通路变异性、包膜刚化与力学适应

Pathway variability, coat stiffening and mechanical adaptation during clathrin-mediated endocytosis

通过耦合离散网格蛋白与自适应连续膜的动力学蒙特卡洛模拟，揭示了网格蛋白组装从扁平斑块到闭合囊泡的通路变异性机制，发现有效弯曲刚度和曲率在生长中涌现，并受非欧几里得弹性理论预测。

The wisdom of networks: A general adaptation and learning mechanism of complex systems: The network core triggers fast responses to known stimuli; innovations require the slow network periphery and are encoded by core-remodeling

I hypothesize that re-occurring prior experience of complex systems mobilizes a fast response, whose attractor is encoded by their strongly connected network core. In contrast, responses to novel stimuli are often slow and require the weakly connected network periphery. Upon repeated stimulus, peripheral network nodes remodel the network core that encodes the attractor of the new response. This "core-periphery learning" theory reviews and generalizes the heretofore fragmented knowledge on attractor formation by neural networks, periphery-driven innovation and a number of recent reports on the …

Population spiking and bursting in next generation neural masses with spike-frequency adaptation

Spike-frequency adaptation (SFA) is a fundamental neuronal mechanism taking into account the fatigue due to spike emissions and the consequent reduction of the firing activity. We have studied the effect of this adaptation mechanism on the macroscopic dynamics of excitatory and inhibitory networks of quadratic integrate-and-fire (QIF) neurons coupled via exponentially decaying post-synaptic potentials. In particular, we have studied the population activities by employing an exact mean field reduction, which gives rise to next generation neural mass models. This low-dimensional reduction allows…

Noisy-threshold control of cell death

Cellular responses to death-promoting stimuli typically proceed through a differentiated multistage process, involving a lag phase, extensive death, and potential adaptation. Deregulation of this chain of events is at the root of many diseases. Improper adaptation is particularly important because it allows cell sub-populations to survive even in the continuous presence of death conditions, which results, among others, in the eventual failure of many targeted anticancer therapies. Here, I show that these typical responses arise naturally from the interplay of intracellular variability with a t…