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相关论文: Effect of Neuromodulation of Short-Term Plasticity…

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Synaptic connections in neuronal circuits are modulated by pre- and post-synaptic spiking activity. Heuristic models of this process of synaptic plasticity can provide excellent fits to results from in-vitro experiments in which pre- and…

神经元与认知 · 定量生物学 2022-07-14 Federico Devalle , Alex Roxin

Short-term presynaptic plasticity designates variations of the amplitude of synaptic information transfer whereby the amount of neurotransmitter released upon presynaptic stimulation changes over seconds as a function of the neuronal firing…

神经元与认知 · 定量生物学 2011-12-06 Maurizio De Pittà , Vladislav Volman , Hugues Berry , Eshel Ben-Jacob

The brain has the phenomenal ability to reorganize itself by forming new connections among neurons and by pruning others. The so-called neural or brain plasticity facilitates the modification of brain structure and function over different…

Recent evidence in rodent cerebral cortex and olfactory bulb suggests that short-term dynamics of excitatory synaptic transmission is correlated to stereotypical connectivity motifs. It was observed that neurons with short-term facilitating…

神经元与认知 · 定量生物学 2016-04-08 Eleni Vasilaki , Michele Giugliano

Short-term changes in efficacy have been postulated to enhance the ability of synapses to transmit information between neurons, and within neuronal networks. Even at the level of connections between single neurons, direct confirmation of…

神经元与认知 · 定量生物学 2012-04-30 Pat Scott , Anna I. Cowan , Christian Stricker

In this work we study, analytically and employing Monte Carlo simulations, the influence of the competition between several activity-dependent synaptic processes, such as short-term synaptic facilitation and depression, on the maximum…

神经元与认知 · 定量生物学 2010-07-23 Jorge F. Mejias , Joaquin J. Torres

Experiments have shown that the same stimulation pattern that causes Long-Term Potentiation in proximal synapses, will induce Long-Term Depression in distal ones. In order to understand these, and other, surprising observations we use a…

神经元与认知 · 定量生物学 2020-11-20 Claire Meissner-Bernard , Matthias Tsai , Laureline Logiaco , Wulfram Gerstner

Neural synchrony in the brain at rest is usually variable and intermittent, thus intervals of predominantly synchronized activity are interrupted by intervals of desynchronized activity. Prior studies suggested that this temporal structure…

定量方法 · 定量生物学 2021-04-26 Joel Zirkle , Leonid L Rubchinsky

Neural variability plays a central role in neural coding and neuronal network dynamics. Unreliability of synaptic transmission is a major source of neural variability: synaptic neurotransmitter vesicles are released probabilistically in…

神经元与认知 · 定量生物学 2012-10-29 Steven Reich , Robert Rosenbaum

Experimental data have revealed that neuronal connection efficacy exhibits two forms of short-term plasticity, namely, short-term depression (STD) and short-term facilitation (STF). They have time constants residing between fast neural…

神经元与认知 · 定量生物学 2015-03-19 C. C. Alan Fung , K. Y. Michael Wong , He Wang , Si Wu

Background: The roles of neuromodulation in a neural network, such as in a cortical microcolumn, are still incompletely understood. Neuromodulation influences neural processing by presynaptic and postsynaptic regulation of synaptic…

神经元与认知 · 定量生物学 2019-06-25 Gabriele Scheler

Synaptic efficacy between neurons is known to change within a short time scale dynamically. Neurophysiological experiments show that high-frequency presynaptic inputs decrease synaptic efficacy between neurons. This phenomenon is called…

无序系统与神经网络 · 物理学 2015-05-28 Yosuke Otsubo , Kenji Nagata , Masafumi Oizumi , Masato Okada

In the mammalian brain newly acquired memories depend on the hippocampus for maintenance and recall, but over time these functions are taken over by the neocortex through a process called systems consolidation. However, reactivation of a…

神经元与认知 · 定量生物学 2019-03-29 Peter Helfer , Thomas R. Shultz

Synaptic plasticity is vital for learning and memory in the brain. It consists of long-term potentiation (LTP) and long-term depression (LTD). Spike frequency is one of the major components of synaptic plasticity in the brain, a noisy…

神经元与认知 · 定量生物学 2021-08-13 Yuto Takeda , Katsuhiko Hata , Tokio Yamasaki , Masaki Kaneko , Osamu Yokoi , Chengta Tsai , Kazuo Umemura , Tetsuro Nikuni

The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) have focused on either just pairs of neurons or large-scale…

神经元与认知 · 定量生物学 2016-08-02 Gabriel Koch Ocker , Brent Doiron

We study the effect of competition between short-term synaptic depression and facilitation on the dynamical properties of attractor neural networks, using Monte Carlo simulation and a mean field analysis. Depending on the balance between…

神经元与认知 · 定量生物学 2007-05-23 J. J. Torres , J. M. Cortes , J. Marro , H. J. Kappen

The dynamics of higher-order topological signals are increasingly recognized as a key aspect of the activity of complex systems. A paradigmatic example are synaptic dynamics: synaptic efficacy changes over time driven by different…

神经元与认知 · 定量生物学 2025-07-11 Gustavo Menesse , Ana P. Millán , Joaquín J. Torres

Synaptic connections are known to change dynamically. High-frequency presynaptic inputs induce decrease of synaptic weights. This process is known as short-term synaptic depression. The synaptic depression controls a gain for presynaptic…

无序系统与神经网络 · 物理学 2007-05-23 Narihisa Matsumoto , Daisuke Ide , Masataka Watanabe , Masato Okada

We study the characteristics of weak signal detection by a recurrent neuronal network with plastic synaptic coupling. It is shown that in the presence of an asynchronous component in synaptic transmission, the network acquires selectivity…

神经元与认知 · 定量生物学 2015-05-13 Vladislav Volman , Herbert Levine

Collective rhythmic dynamics from neurons is vital for cognitive functions such as memory formation but how neurons self-organize to produce such activity is not well understood. Attractor-based models have been successfully implemented as…

神经元与认知 · 定量生物学 2013-03-22 Mark Niedringhaus , Xin Chen , Katherine Conant , Rhonda Dzakpasu
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