منابع مشابه
Reliability, synchrony and noise.
The brain is noisy. Neurons receive tens of thousands of highly fluctuating inputs and generate spike trains that appear highly irregular. Much of this activity is spontaneous - uncoupled to overt stimuli or motor outputs - leading to questions about the functional impact of this noise. Although noise is most often thought of as disrupting patterned activity and interfering with the encoding of...
متن کاملReliability, discriminability and noise-induced synchrony in olfactory neurons
Combining computer simulations of neurons and electrophysiological experiments we have studied the effect of noise on neural firing in the olfactory system. In particular, we first investigated the reliability of mitral cell responses and found, as previously observed in other neural systems, that mitral cells reliably respond to noisy inputs but not to constant stimuli. We then described a rel...
متن کاملSynchrony of thalamocortical inputs maximizes cortical reliability.
Thalamic inputs strongly drive neurons in the primary visual cortex, even though these neurons constitute only approximately 5% of the synapses on layer 4 spiny stellate simple cells. We modeled the feedforward excitatory and inhibitory inputs to these cells based on in vivo recordings in cats, and we found that the reliability of spike transmission increased steeply between 20 and 40 synchrono...
متن کاملNoise Suppression and Surplus Synchrony by Coincidence Detection
The functional significance of correlations between action potentials of neurons is still a matter of vivid debate. In particular, it is presently unclear how much synchrony is caused by afferent synchronized events and how much is intrinsic due to the connectivity structure of cortex. The available analytical approaches based on the diffusion approximation do not allow to model spike synchrony...
متن کاملDispersal and noise: various modes of synchrony in ecological oscillators.
We use the theory of noise-induced phase synchronization to analyze the effects of dispersal on the synchronization of a pair of predator-prey systems within a fluctuating environment (Moran effect). Assuming that each isolated local population acts as a limit cycle oscillator in the deterministic limit, we use phase reduction and averaging methods to derive a Fokker-Planck equation describing ...
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ژورنال
عنوان ژورنال: Trends in Neurosciences
سال: 2008
ISSN: 0166-2236
DOI: 10.1016/j.tins.2008.06.002