Despite the current debate about the computational role of experimentally observed precise spike patterns it is still theoretically unclear under which conditions and how they may emerge in neural circuits. Here, we study spiking neural networks with non-additive dendritic interactions that were recently uncovered in single-neuron experiments. We show that supra-additive dendritic interactions enable the persistent propagation of synchronous activity already in purely random networks without superimposed structures and explain the mechanism underlying it. This study adds a novel perspective on the dynamics of networks with nonlinear interactions in general and presents a new viable mechanism for the occurrence of patterns of precisely timed...
The study of artificial neural networks has originally been inspired by neurophysiology and cogni-ti...
Non-random connectivity can emerge without structured external input driven by activity-dependent me...
<p>(a) The probability that a single neuron in the ground state (receiving homogenous background in...
Despite the current debate about the computational role of experimentally observed precise spike pat...
Despite the current debate about the computational role of experimentally observed precise spike pat...
<p>The figure illustrates the temporal evolution of propagating synchrony as typical for large range...
Sparse random networks contain structures that can be considered as diluted feed-forward networks. M...
Coordinated patterns of precisely timed action potentials (spikes) emerge in a variety of neural cir...
Coordinated patterns of precisely timed action potentials (spikes) emerge in a variety of neural cir...
A reference implementation of → Non-additive coupling enables propagation of synchronous spiking act...
Reliable signal transmission constitutes a key requirement for neural circuit function. The propagat...
<div><p>Reliable signal transmission constitutes a key requirement for neural circuit function. The ...
How neurons process their inputs crucially determines the dynamics of biological and artificial neur...
Characterizing neural spiking covariability is essential for understanding the collective activity o...
A basic-yet nontrivial-function which neocortical circuitry must satisfy is the ability to maintain ...
The study of artificial neural networks has originally been inspired by neurophysiology and cogni-ti...
Non-random connectivity can emerge without structured external input driven by activity-dependent me...
<p>(a) The probability that a single neuron in the ground state (receiving homogenous background in...
Despite the current debate about the computational role of experimentally observed precise spike pat...
Despite the current debate about the computational role of experimentally observed precise spike pat...
<p>The figure illustrates the temporal evolution of propagating synchrony as typical for large range...
Sparse random networks contain structures that can be considered as diluted feed-forward networks. M...
Coordinated patterns of precisely timed action potentials (spikes) emerge in a variety of neural cir...
Coordinated patterns of precisely timed action potentials (spikes) emerge in a variety of neural cir...
A reference implementation of → Non-additive coupling enables propagation of synchronous spiking act...
Reliable signal transmission constitutes a key requirement for neural circuit function. The propagat...
<div><p>Reliable signal transmission constitutes a key requirement for neural circuit function. The ...
How neurons process their inputs crucially determines the dynamics of biological and artificial neur...
Characterizing neural spiking covariability is essential for understanding the collective activity o...
A basic-yet nontrivial-function which neocortical circuitry must satisfy is the ability to maintain ...
The study of artificial neural networks has originally been inspired by neurophysiology and cogni-ti...
Non-random connectivity can emerge without structured external input driven by activity-dependent me...
<p>(a) The probability that a single neuron in the ground state (receiving homogenous background in...