Neural Comput - Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex.

Tópicos

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Resumo

We study a realistic model of a cortical column taking into account short-term plasticity between pyramidal cells and interneurons. The simulation of leaky integrate-and-fire neurons shows that low-frequency oscillations emerge spontaneously as a result of intrinsic network properties. These oscillations are composed of prolonged phases of high and low activity reminiscent of cortical up and down states, respectively. We simplify the description of the network activity by using a mean field approximation and reduce the system to two slow variables exhibiting some relaxation oscillations. We identify two types of slow oscillations. When the combination of dynamic synapses between pyramidal cells and those between interneurons accounts for the generation of these slow oscillations, the end of the up phase is characterized by asynchronous fluctuations of the membrane potentials. When the slow oscillations are mainly driven by the dynamic synapses between interneurons, the network exhibits fluctuations of membrane potentials, which are more synchronous at the end than at the beginning of the up phase. Additionally, finite size effect and slow synaptic currents can modify the irregularity and frequency, respectively, of these oscillations. Finally, we consider possible roles of a slow oscillatory input modeling long-range interactions in the brain. Spontaneous slow oscillations of local networks are modulated by the oscillatory input, which induces, notably, synchronization, subharmonic synchronization, and chaotic relaxation oscillations in the mean field approximation. In the case of forced oscillations, the slow population-averaged activity of leaky integrate-and-fire neurons can have both deterministic and stochastic temporal features. We discuss the possibility that long-range connectivity controls the emergence of slow sequential patterns in local populations due to the tendency of a cortical column to oscillate at low frequency.

Resumo Limpo

studi realist model cortic column take account shortterm plastic pyramid cell interneuron simul leaki integrateandfir neuron show lowfrequ oscil emerg spontan result intrins network properti oscil compos prolong phase high low activ reminisc cortic state respect simplifi descript network activ use mean field approxim reduc system two slow variabl exhibit relax oscil identifi two type slow oscil combin dynam synaps pyramid cell interneuron account generat slow oscil end phase character asynchron fluctuat membran potenti slow oscil main driven dynam synaps interneuron network exhibit fluctuat membran potenti synchron end begin phase addit finit size effect slow synapt current can modifi irregular frequenc respect oscil final consid possibl role slow oscillatori input model longrang interact brain spontan slow oscil local network modul oscillatori input induc notabl synchron subharmon synchron chaotic relax oscil mean field approxim case forc oscil slow populationaverag activ leaki integrateandfir neuron can determinist stochast tempor featur discuss possibl longrang connect control emerg slow sequenti pattern local popul due tendenc cortic column oscil low frequenc

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