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The possibility to use information from cortical neurons to drive neuroprosthetic devices is an area that has recently garnered a lot of attention within neuroscience. Most of this research has been directed towards restoring upper limb motility. In this s ...
Synaptic plasticity is considered to be the biological substrate of learning and memory. In this document we review phenomenological models of short-term and long-term synaptic plasticity, in particular spike-timing dependent plasticity (STDP). The aim of ...
The processing and perception of visual stimuli are greatly dependent on the context in which those stimuli are presented. While this is not always (and indeed is probably not "supposed" to be) evident when viewing real-world scenes, the abundance of conte ...
Most simple neuron models are only able to model traditional spiking behavior. As physiologists discover and classify different electrical phenotypes, computational neuroscientists become interested in using simple phenomenological models that can exhibit ...
This paper deals with distributed video coding (DVC) for multi-view sequences. DVC of multi-view sequences is a recent field of research, with huge potential impact in applications such as videosurveil- lance, real-time event streaming from multiple camera ...
The integration of modulatory neurons into evolutionary artificial neural networks is proposed here. A model of modulatory neurons was devised to describe a plasticity mechanism at the low level of synapses and neurons. No initial assumptions were made on ...
We present the fabrication, characterization, use in cortical recording and histological results of a flexible implantable neural probe. The microfabricated device is implemented in polyimide and platinum providing mechanical flexibility, high quality elec ...
When a multi-compartment neuron is divided into subtrees such that no subtree has more than two connection points to other subtrees, the subtrees can be on different processors and the entire system remains amenable to direct Gaussian elimination with only ...
Cortical neurons are often classified by current-frequency relationship. Such a static description is inadequate to interpret neuronal responses to time-varying stimuli. Theoretical studies suggested that single-cell dynamical response properties are neces ...
How well are single-cell properties reproduced by the present-day neuronal models? Recently, several labs have approached this question by assessing the quality of the models with respect to spike timing prediction or characteristic features of the voltage ...