AIMC Topic: Patch-Clamp Techniques

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Multi-neuron intracellular recording in vivo via interacting autopatching robots.

eLife
The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known abo...

A multivariate extension of mutual information for growing neural networks.

Neural networks : the official journal of the International Neural Network Society
Recordings of neural network activity in vitro are increasingly being used to assess the development of neural network activity and the effects of drugs, chemicals and disease states on neural network function. The high-content nature of the data der...

Machine Learning Methods for the Analysis of the Patch-Clamp Signals.

Methods in molecular biology (Clifton, N.J.)
Patch-clamp technique provides a unique possibility to record the ion channels' activity. This method enables tracking the changes in their functional states at controlled conditions on a real-time scale. Kinetic parameters evaluated for the patch-cl...

Robotic Automation of In Vivo Two-Photon Targeted Whole-Cell Patch-Clamp Electrophysiology.

Neuron
Whole-cell patch-clamp electrophysiological recording is a powerful technique for studying cellular function. While in vivo patch-clamp recording has recently benefited from automation, it is normally performed "blind," meaning that throughput for sa...