Neural oscillations as a signature of efficient coding in the presence of synaptic delays

the preprint server for biology. Код не известен, зарубежная публикация. Cold Spring Harbor Laboratory, 2015

Gutkin B., Chalk M., Deneve S.

Cortical networks exhibit \global oscillations", in which neural spike times are entrained to an underlying oscillatory rhythm, but where individual neurons re irregularly, on only a fraction of cycles. While the network dynamics underlying global oscillations have been well characterised, their function is debated. Here, we show that such global oscillations are a direct consequence of optimal ecient coding in spiking networks with synaptic delays. To avoid ring unnecessary spikes, neurons need to share information about the network state. Ideally, membrane potentials should be strongly correlated and re- ect a \prediction error" while the spikes themselves are uncorrelated and occur rarely. We show that the most ecient representation is achieved when: (i) spike times are entrained to a global Gamma rhythm (implying a consistent representation of the error); but (ii) few neurons re on each cycle (implying high eciency), while (iii) excitation and inhibition are tightly balanced. This suggests that cortical networks exhibiting such dynamics are tuned to achieve a maximally ecient population code.

Keywords: Neural oscillations, Neural coding, Spiking networks