SummaryThe level of synchronization in distributed systems is often controlled by the strength of the interactions between individual elements. In brain circuits the connection strengths between neurons are modified under the influence of spike-timing-dependent plasticity (STDP) rules. Here we show that when recurrent networks with conduction delays exhibit population bursts, STDP rules exert a strong decoupling force that desynchronizes activity. Conversely, when activity in the network is random, the same rules can have a coupling and synchronizing influence. The presence of these opposing forces promotes the self-organization of spontaneously active neuronal networks to a state at the border between randomness and synchrony. The decoupli...
We study the interplay of topology and dynamics in a neural network connected with spike-timing-depe...
The balanced random network model attracts considerable interest be-cause it explains the irregular ...
Throughout the neocortex, groups of neurons have been found to fire synchronously on the time scale ...
Highly synchronized neural networks can be the source of various pathologies such as Parkinson's dis...
Highly synchronized neural networks can be the source of various pathologies such as Parkinson's dis...
Spike-timing-dependent plasticity (STDP) with asymmetric learning windows is commonly found in the b...
We investigate the emergence of in-phase synchronization in a heterogeneous network of coupled inhib...
We investigate the emergence of in-phase synchronization in a heterogeneous network of coupled inhib...
International audiencePredictive learning rules, where synaptic changes are driven by the difference...
International audienceAbstract Synchronization is a widespread phenomenon in the brain. Despite nume...
<div><p>Spike timing-dependent plasticity (STDP) modifies synaptic strengths based on timing informa...
Several cognitive tasks related to learning and memory exhibit synchronization of macroscopic cortic...
ISBN : 978-2-9532965-0-1In this paper, we investigate how Spike-Timing Dependent Plasticity, when ap...
Several cognitive tasks related to learning and memory exhibit synchronization of macro-scopic corti...
Brain computational challenges vary between behavioral states. Engaged animals react according to in...
We study the interplay of topology and dynamics in a neural network connected with spike-timing-depe...
The balanced random network model attracts considerable interest be-cause it explains the irregular ...
Throughout the neocortex, groups of neurons have been found to fire synchronously on the time scale ...
Highly synchronized neural networks can be the source of various pathologies such as Parkinson's dis...
Highly synchronized neural networks can be the source of various pathologies such as Parkinson's dis...
Spike-timing-dependent plasticity (STDP) with asymmetric learning windows is commonly found in the b...
We investigate the emergence of in-phase synchronization in a heterogeneous network of coupled inhib...
We investigate the emergence of in-phase synchronization in a heterogeneous network of coupled inhib...
International audiencePredictive learning rules, where synaptic changes are driven by the difference...
International audienceAbstract Synchronization is a widespread phenomenon in the brain. Despite nume...
<div><p>Spike timing-dependent plasticity (STDP) modifies synaptic strengths based on timing informa...
Several cognitive tasks related to learning and memory exhibit synchronization of macroscopic cortic...
ISBN : 978-2-9532965-0-1In this paper, we investigate how Spike-Timing Dependent Plasticity, when ap...
Several cognitive tasks related to learning and memory exhibit synchronization of macro-scopic corti...
Brain computational challenges vary between behavioral states. Engaged animals react according to in...
We study the interplay of topology and dynamics in a neural network connected with spike-timing-depe...
The balanced random network model attracts considerable interest be-cause it explains the irregular ...
Throughout the neocortex, groups of neurons have been found to fire synchronously on the time scale ...