Motor learning in a recurrent network model based on the vestibulo-ocular reflex

Article Abstract:

The change in firing rate of a neural network in response to a stimulus depends on cellular mechanisms that take as long as hundreds of milliseconds. The modulation of neural responses that occurs over long periods is converted into a change in the amplitude of the system's steady output through recurrent feedback. Such feedback is evident in the vestibulo-ocular reflex, and implies that very small changes in individual cellular mechanisms can have large effects in the output of specific behavioral systems.

Neural transmission, Synaptic transmission, Vestibulo-ocular reflex

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Early functional neural networks in the developing retina

Article Abstract:

The development of the retina involves an initial functional neural network that is unconnected to visual stimuli, according to an optical recording employing the calcium-sensitive dye Fura-2. This network has horizontal rather than vertical pathways which are necessary for the adult stage of the retina and the photoreceptors have not yet been developed. The sets of retinal ganglion and amacrine cells oscillate synchronically with the intracellular calcium concentrations.

Retina

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Stochastic resonance without tuning

Article Abstract:

Optimization of capacities of excitable units' summing networks to trace a range of weak, sub-threshold signals with no dependence on the nature of the input signals is done by a constant value of noise or stochastic resonance. It is also proved that the ability of the network to detect supra-threshold signals remains unaffected by the fixed level of noise. A functional role for neuronal noise in a sensory system is discussed.

Analysis, Sensory receptors, Stochastic processes, Electromagnetic noise

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