Stochastic resonance in noisy spiking retinal and sensory neuron models

Patel, Ashok Kumar; Kosko, Bart

doi:10.1016/j.neunet.2005.06.031

Cited by 43 publications

(30 citation statements)

References 32 publications

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“…In response to reduced sensory inputs during degeneration, homeostatic mechanisms appear to increase synaptic gain at the expense of increasing noise levels. It could be argued that, under suboptimal conditions, increased noise could permit weak signals to reach spiking threshold and paradoxically increase the signal-to-noise ratio (Patel and Kosko, 2005). Moreover, membrane oscillations could favor the transfer of a specific bandwidth of information to higher visual centers.…”

Section: Implications Of Network Hyperactivity On Visual Functionmentioning

confidence: 99%

An Intrinsic Neural Oscillator in the Degenerating Mouse Retina

Borowska¹,

Trenholm²,

Awatramani³

2011

J. Neurosci.

107

171

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The loss of photoreceptors during retinal degeneration (RD) is known to lead to an increase in basal activity in remnant neural networks. To identify the source of activity, we combined two-photon imaging with patch-clamp techniques to examine the physiological properties of morphologically identified retinal neurons in a mouse model of RD (rd1). Analysis of activity in rd1 ganglion cells revealed sustained oscillatory (ϳ10 Hz) synaptic activity in ϳ30% of all classes of cells. Oscillatory activity persisted after putative inputs from residual photoreceptor, rod bipolar cell, and inhibitory amacrine cell synapses were pharmacologically blocked, suggesting that presynaptic cone bipolar cells were intrinsically active. Examination of presynaptic rd1 ON and OFF bipolar cells indicated that they rested at relatively negative potentials (less than Ϫ50 mV). However, in approximately half the cone bipolar cells, low-amplitude membrane oscillation (ϳ5 mV, ϳ10 Hz) were apparent. Such oscillations were also observed in AII amacrine cells. Oscillations in ON cone bipolar and AII amacrine cells exhibited a weak apparent voltage dependence and were resistant to blockade of synaptic receptors, suggesting that, as in wild-type retina, they form an electrically coupled network. In addition, oscillations were insensitive to blockers of voltage-gated Ca 2ϩ channels (0.5 mM Cd 2ϩ and 0.5 mM Ni 2ϩ ), ruling out known mechanisms that underlie oscillatory behavior in bipolar cells. Together, these results indicate that an electrically coupled network of ON cone bipolar/AII amacrine cells constitutes an intrinsic oscillator in the rd1 retina that is likely to drive synaptic activity in downstream circuits.

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Section: Implications Of Network Hyperactivity On Visual Functionmentioning

confidence: 99%

An Intrinsic Neural Oscillator in the Degenerating Mouse Retina

Borowska¹,

Trenholm²,

Awatramani³

2011

J. Neurosci.

107

171

View full text Add to dashboard Cite

show abstract

“…Since its origins thirty years ago in the field of geophysical dynamics [1], SR has received considerable attention in a growing variety of systems with various types of signals and performance measures [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Most SR studies carried out today occur in threshold-based or potential barrier systems where a signal is by itself too weak to overcome a threshold or a potential barrier [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21], but the presence of noise allows the signal to cross the threshold eliciting a more effective system response. Therefore, subthreshold input signals in threshold-based systems were originally assumed to be a necessary condition for the occurrence of SR.…”

Section: Introductionmentioning

confidence: 99%

Decoding suprathreshold stochastic resonance with optimal weights

Vladusich

Duan

et al. 2015

Physics Letters A

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“…Any sensory system is confronted with three main challenges: (i) sensitivity to weak stimuli, (ii) robustness to noise (be it internal or external), and (iii) a gradual response. Sensorimotor systems in other living organisms are known to be affected by noise at any one of these stages, and a large body of work investigates these phenomena (Mortensen and Suhl, 1991; Douglass et al, 1993a; Patel and Kosko, 2005; Faisal et al, 2008; Li et al, 2012). Only in the recent past has the role of noise been known to play a crucial role in tropisms.…”

Section: Introductionmentioning

confidence: 99%

Stochastic processes in gravitropism

Meroz¹,

Bastien²

2014

Front. Plant Sci.

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In this short review we focus on the role of noise in gravitropism of plants -the reorientation of plants according to the direction of gravity. We briefly introduce the conventional picture of static gravisensing in cells specialized in sensing. This model hinges on the sedimentation of statoliths (high in density and mass relative to other organelles) to the lowest part of the sensing cell. We then present experimental observations that cannot currently be understood within this framework. Lastly we introduce some current alternative models and directions that attempt to incorporate and interpret these experimental observations, including: (i) dynamic sensing, where gravisensing is suggested to be enhanced by stochastic events due to thermal and mechanical noise. These events both effectively lower the threshold of response, and lead to small-distance sedimentation, allowing amplification, and integration of the signal.(ii) The role of the cytoskeleton in signal-to-noise modulation and (iii) in signal transduction. In closing, we discuss directions that seem to either not have been explored, or that are still poorly understood.

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Stochastic resonance in noisy spiking retinal and sensory neuron models

Cited by 43 publications

References 32 publications

An Intrinsic Neural Oscillator in the Degenerating Mouse Retina

An Intrinsic Neural Oscillator in the Degenerating Mouse Retina

Decoding suprathreshold stochastic resonance with optimal weights

Stochastic processes in gravitropism

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