Changes of dendritic spine shape and volume, a correlate of synaptic strength, can be tracked in vivo for weeks.
Here we present an extension of renewal theory to describe...The integrate-and-fire neuron with exponential postsynaptic potentials is a frequently employed model to study neural networks. In particular, the probability density in the vicinity of the threshold differs, which leads to altered response properties of th...Author Summary
Superpositions of point processes are used frequently in neuronal network simulations to represent synaptic input from neurons external to the simulated network. However, the relation of these models to the properties of single neurons is unclear. Large numbers of excitatory and inhibitory neurons are recurrently connected so that the numerous positive and negative inputs that each neuron receives cancel out on average. dynamic changes of synaptic strength on time scales of 100 ms to 1000 ms induced by presynaptic neural activity.
The values of dJ0dφ and ϕ0′ were calculated by fitting and extrapolating (linearly, for ϕ0 > 40.31Hz) curves ϕ0→ϕ0′ and ϕ0 → J0 that were obtained from the numerical values extracted for g1 = 40.31Hz, gσ = 0.51 by the...Short-term plasticity does not affect spiking statistics.
Spike trains are simulated from a nonlinear Hawkes model with fixed baseline c = 10 s−1 and an auto-history kernel consisting of two exponentials with amplitudes Jr, Ja, and corresponding time constants τr = 0.02 s and τa = 0.1 s. Observed divergence times for simulated spike trains are color-coded (same scale as in...Same as Fig 7A with c = 2 s−1. 459 Followers, 1,012 Following, 2 Posts - See Instagram photos and videos from Moritz A. Gerster (@moritzgerster_) Mean firing rate, coefficient of variation of the inter-spike interval distribution (CV), and local CV (CV2 [92]) for two attractor networks with different STP parameters.
Units of color values are idx2s with values of level lines as indicated.
Schwalger, Tilo Deger, Moritz and Gerstner, Wulfram 2015. Deger et al.
Check out some of the IMDb editors' favorites movies and shows to round out your Watchlist. Here we present a theory of the dynamics of finite-sized populations the time interval following every firing during which the neuron cannot fire again. We The most notable changes over v2.8.0 are: Support for simulations of gap junctions (see Jan Hahne et al., 2015) Framework for structural plasticity (see Markus Butz et al., 2013 and Markus Butz et al., 2014) Full support for the K computer (just in case you found one under y...NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons.
This sequential dynamics can emerge by a specific connectivity in the excitatory neurons [16,Join ResearchGate to find the people and research you need to help your work.© 2008-2020 ResearchGate GmbH. dynamics of the population activity in response...The relation between neural mass signals, like local field potentials (LFP) or electro-encephalograms (EEG), and the spiking activity of neurons in a network is still poorly understood.
This leads to a delayed Poisson process, obtained by a step change to the rate of a Poisson process (see Deger et al. Here we derive an equation for several interacting populations at the mesoscopic scale starting from a microscopic model of randomly connected...Excitatory synaptic connections in the adult neocortex consist of multiple synaptic contacts, almost exclusively formed on dendritic spines.
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