Working paper
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
In press
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.
Publication based on the results of:
Активное и пассивное декодирование нейрональных процессов при выполнении когнитивных и нейроэкономических задач(2015)