Mercedes Gonzales and colleagues from the Precison Bio Systems Lab at Georgia Tech developed a convolutional neural network that assesses pipette positioning before a patch clamp is begun to minimize patch clamping errors in electrophysiology experiments. This is...
Collecting local field potential (LFP) data to study rhythmic brain activity can be expensive, and building the necessary tools can be difficult and time consuming. Richard Quansah Amissah and colleagues from the Khokar Lab have developed customizeable multielctrode...
Developed by Jason E. Osborne, Neurobiological Instrument and Systems Designer, and Joshua T. Dudman, Janelia Farm Group Leader at the Howard Hughes Medical Institute, RIVETS is an open-source mechanical system for in vivo and in vitro electrophysiology and imaging in...
In vivo electrophysiology experiments are widely used in neuroscience to investigate brain activity, yet setups can be expensive with multiple subjects. Eyal Kimchi and colleagues developed OpBox, an open-source in-vivo electrophysiology hardware and software package....
Software engineers Davide Ciliberti and Fabian Kloosterman meticulously report on their new open-source software, Falcon, in the paper “Falcon: a highly flexible open-source software for closed-loop neuroscience”, published in the Journal of Neural Engineering....
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