OptoMEA: a new tool for combining local optical activation of compounds with distributed MEA recordings
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Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the expectation propagation algorithm, we are able to approximate the full poster ...
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 ...
Definition of single spikes from multiunit spike trains plays a critical role in neurophysiology and in neuroengineering as it does the question of how much information is encoded by single neurons in a neuronal network. Moreover, the possibility to develo ...
Understanding how the information is coded in large neuronal networks is one of the major challenges for neuroscience. A possible approach to investigate the information processing capabilities of the neuronal ensembles is given by the use of dissociated n ...
Technological innovations in the fields of biomedical optics and electronics have lead to an extremely high level of miniaturization. These steps opened important perspectives to interface optoelectronic instruments with cellular systems. In this frame, a ...
Abstract—Mapping neuronal networks activity of in-vitro cell cultures with microelectrode array (MEA) based systems, providing a spatial resolution down to cellular/sub-cellular levels and an adequate temporal resolution for resolving action potential prop ...
A large number of studies on neuronal physiology and plasticity have provided a detailed picture of the molecular machinery underlying the modulation of neuronal activity. On the contrary, the mechanisms controlling properties of complex neuronal networks ...
In this contribution we present the development of three microfabricated devices for the study of neuronal and cellular networks. Together, these devices form an attractive toolbox, which is useful to stimulate and record signals of both electrical and che ...
In the present paper we propose a novel method for the identification and modeling of neural networks using extracellular spike recordings. We create a deterministic model of the effective network, whose dynamic behavior fits experimental data. The network ...
Since their introduction 30 years ago, Micro-Electrode Arrays (MEAs) have been exploited as devices providing distributed information about learning, memory and information processing in a cultured neuronal network, thus changing the field of view from the ...