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Search · four archives
26 papers · ranked by Valyu relevance
Gustavo Deco, Viktor K. Jirsa, Peter A. Robinson, Michael Breakspear + 2 more
Fields Authors: ['Gustavo Deco' 'Viktor K. Jirsa' 'Peter A. Robinson' 'Michael Breakspear' 'Karl Friston' 'Olaf Sporns'] The cortex is a complex system, characterized by its dynamics and architecture, which underlie many functions such as action, perception, learning, language, and cognition. Its structural…
Chih-Hsu Huang, Chou-Ching K. Lin
Nowadays, building low-dimensional mean-field models of neuronal populations is still a critical issue in the computational neuroscience community, because their derivation is difficult for realistic networks of neurons with conductance-based interactions and spike-frequency adaptation that generate nonlinear…
Marc de Kamps
Population density techniques are efficient simulation techniques for modeling large homogeneous populations of neurons. When individual spikes are not important, but instead population statistics such as firing rate are relevant, these techniques can replace direct simulations of large groups of point model neurons.…
Anca R. Radulescu, Paul L. Gribble
Several firing patterns experimentally observed in neural populations have been successfully correlated to animal behavior. Population bursting, hereby regarded as a period of high firing rate followed by a period of quiescence, is typically observed in groups of neurons during behavior. Biophysical membrane-potential…
Richard Gast, Daniel Rose, Harald E. Möller, Nikolaus Weiskopf + 1 more
In neuroscience, computational modeling has become an important source of insight into brain states and dynamics. A basic requirement for computational modeling studies is the availability of efficient software for setting up models and performing numerical simulations. While many such tools exist for different…
Tilo Schwalger, Anton V. Chizhov
- Generalized integrate-and-fire (GIF) models permit efficient extraction of point neuron parameters, which reproduce the spiking behavior of multiple cell types and are available from a public database. - Populations of GIF or conductance-based neuron models can be described by a single state variable – the "time…
Szilvia Szeier, Henrik Jörntell
Behavior ultimately depends on the spatiotemporal patterns of the neuron population activity across the brain. Here we address the issue of how the evolving patterns of population activity can be governed by the intrinsically available mechanisms within the brain. We show how the control of the evolving activity can be…
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
Neural population equations such as neural mass or field models are widely used to study brain activity on a large scale. However, the relation of these models to the properties of single neurons is unclear. Here we derive an equation for several interacting populations at the mesoscopic scale starting from a…
Marc de Kamps, Mikkel Lepperød, Yi Ming Lai
The importance of a mesoscopic description level of the brain has now been well established. Rate based models are widely used, but have limitations. Recently, several extremely efficient population-level methods have been proposed that go beyond the characterization of a population in terms of a single variable. Here…
Marc de Kamps, Mikkel Lepperød, Yi Ming Lai, Boris S. Gutkin
The importance of a mesoscopic description level of the brain has now been well established. Rate based models are widely used, but have limitations. Recently, several extremely efficient population-level methods have been proposed that go beyond the characterization of a population in terms of a single variable. Here…
Mi Lu, Trung Le, Tianxing He, Eli Shlizerman + 1 more
Neurons can display highly variable dynamics. While such variability presumably supports the wide range of behaviors generated by the organism, their gene expressions are relatively stable in the adult brain. This suggests that neuronal activity is a combination of its time-invariant identity and the inputs the neuron…
Richard Naud, Wulfram Gerstner, Olaf Sporns
The response of a neuron to a time-dependent stimulus, as measured in a Peri-Stimulus-Time-Histogram (PSTH), exhibits an intricate temporal structure that reflects potential temporal coding principles. Here we analyze the encoding and decoding of PSTHs for spiking neurons with arbitrary refractoriness and adaptation.…
Blake J. Cook, Andre D. H. Peterson, Wessel Woldman, John R. Terry
Mathematical modelling of the macroscopic electrical activity of the brain is highly nontrivial and requires a detailed understanding of not only the associated mathematical techniques, but also the underlying physiology and anatomy. Neural field theory is a population-level approach to modelling the non-linear…
Daniel Gandolfo, Roger Rodriguez, Henry C. Tuckwell
We investigate the dynamics of large-scale interacting neural populations, composed of conductance based, spiking model neurons with modifiable synaptic connection strengths, which are possibly also subjected to external noisy currents. The network dynamics is controlled by a set of neural population probability…
Maurizio Mattia
Starting from a spectral expansion of the Fokker-Plank equation for the membrane potential density in a network of spiking neurons, a low-dimensional dynamics of the collective firing rate is derived. As a result a n-order ordinary differential equation for the network activity can be worked out by taking into account…
Stefano Luccioli, Eshel Ben‐Jacob, Ari Barzilai, P. Bonifazi + 1 more
'Alessandro Torcini'] It has recently been discovered that single neuron stimulation can impact network dynamics in immature and adult neuronal circuits. Here we report a novel mechanism which can explain in neuronal circuits, at an early stage of development, the peculiar role played by a few specific neurons in…
Yu Wu, Wenlian Lu, Wei Lin, Gareth Leng + 1 more
Yu Wu∗ , Wenlian Lu∗ , Wei Lin∗ , Gareth Leng† , Jianfeng Feng∗,‡ ∗ Centre for Computational Systems Biology and School of Mathematics, Fudan University, PR China † School of Biomedicine, Edinburgh University, UK ‡ Centre for Scientific Computing and Computer Science, Warwick University, UK e-mail: jffeng@fudan.edu.cn…
Amir Goldental, Roni Vardi, Shira Sardi, Pinhas Sabo + 1 more
Broadband spontaneous macroscopic neural oscillations are rhythmic cortical firing which were extensively examined during the last century, however, their possible origination is still controversial. In this work we show how macroscopic oscillations emerge in solely excitatory random networks and without topological…
S. Luccioli, A. Barzilai, E. Ben-Jacob, P. Bonifazi + 1 more
We consider a sparse random network of excitatory leaky integrate-andfire neurons with short-term synaptic depression. Furthermore to mimic the dynamics of a brain circuit in its first stages of development we introduce for each neuron correlations among in-degree and out-degree as well as among excitability and the…
Qi Shi, Fang Han, Zhijie Wang, Caiyun Li
Rhythmic oscillations of neuronal network are actually kind of synchronous behaviors, which play an important role in neural systems. In this paper, the properties of excitement degree and oscillation frequency of excitatory bursting Hodkin-Huxley neuronal network which incorporates a synaptic learning rule are…
Chenfei Zhang, David Hofmann, Andreas Neef, Fred Wolf
Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment (AIS) location…
Authors not listed
Scanning ion conductance microscopy (SICM) offers non-contact, label-free imaging of live cells with nanometer-scale resolution. However, its conventional imaging mode is inherently slow due to repeated vertical scanning, limiting temporal resolution and causing inertial issues. Here, we present Scanning Counter Ion…
Yuanmo Wang, Ajay Pradhan, Pankaj Gupta, Jörg Hanrieder + 2 more
Acetylcholine (ACh) is a critical neurotransmitter influencing various neurophysiological functions. Despite its significance, there is a lack of quantitative methods with adequate spatiotemporal resolution for recording single exocytotic efflux of ACh. In this study, we present an ultrafast amperometric ACh biosensor…
Authors not listed
Acetylcholine (ACh) is a key neurotransmitter involved in cognitive function, motor control, and synaptic modulation, yet its electrochemical inactivity and the rapid kinetics of exocytosis have hindered real-time quantal detection. Previous micrometer-scale enzymatic ACh biosensors enabled sub-millisecond…
wenzhong liu, hualan li
Infection with the Zika virus results in severe neurological disease in adults or congenital Zika syndrome in newborns. We employed the domain search strategy to study the Zika virus glycoprotein E in this work. The results revealed that immature E contains a NGF domain…
Authors not listed
The GluK1 receptor, an ionotropic glutamate receptor, operates as a ligand-gated ion channel. Opioids stand as the most potent pain-relieving medications currently prescribed in the medical field. Inhibiting this receptor is anticipated to result in a reduction of dopamine release in the Nucleus Accumbens, effectively…