How Synchronization Protects from Noise
Как синхронизация защищает от шума
2010-01-14
SCID: 54.1/hpeqy9ja
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Collective enhancement of precisionIntrinsic neuronal noisePopulation codingSynchronizationTemporal coding
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Abstract (AI)
THE FUNCTIONAL ROLE OF SYNCHRONIZATION HAS ATTRACTED MUCH INTEREST AND DEBATE: in particular, synchronization may allow distant sites in the brain to communicate and cooperate with each other, and therefore may play a role in temporal binding, in attention or in sensory-motor integration mechanisms. In this article, we study another role for synchronization: the so-called "collective enhancement of precision". We argue, in a full nonlinear dynamical context, that synchronization may help protect interconnected neurons from the influence of random perturbations-intrinsic neuronal noise-which affect all neurons in the nervous system. More precisely, our main contribution is a mathematical proof that, under specific, quantified conditions, the impact of noise on individual interconnected systems and on their spatial mean can essentially be cancelled through synchronization. This property then allows reliable computations to be carried out even in the presence of significant noise (as experimentally found e.g., in retinal ganglion cells in primates). This in turn is key to obtaining meaningful downstream signals, whether in terms of precisely-timed interaction (temporal coding), population coding, or frequency coding. Similar concepts may be applicable to questions of noise and variability in systems biology.
Key Findings
1
A mathematical proof shows that, under specific quantified conditions, synchronization can essentially cancel the impact of intrinsic random noise on interconnected nonlinear systems and their spatial mean.
2
Noise protection through synchronization can support precise temporal coding, population coding, and frequency coding in downstream neural signals.
3
Synchronization enables reliable computations despite significant neuronal noise, consistent with experimental observations in primate retinal ganglion cells.
4
The paper identifies synchronization as a mechanism for collectively enhancing precision, beyond its proposed roles in communication and temporal binding.
5
The proposed noise-variability framework may also apply to analogous problems in systems biology.
Research Object
interconnected neurons and their spatial mean subject to intrinsic neuronal noise
Research Subject
the noise-cancellation and precision-enhancement effects of synchronization under quantified conditions, enabling reliable computation
Publication Details
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2010-01-14
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