One of the keys to understanding neural correlates of behavior is to understand neural coordinates that we study with various probes. Traditional paper atlases have served as a key tool for researchers both mapping plans for experiments and assessing the histological...
The ability to integrate multiple physiological signals and behavioral measures is necessary for understanding the complexity of the brain and behavior. Methods to record and sync data streams in experiments can be complicated, time consuming, and commercial options...
The identification of behavioral states based on physiological measures such as EEG, EMG, and LFP is a non-trivial task and much needed for advancing research on topics such as sleep. Jacob Ellen and Michael Dash from Middlebury College created an automated neural...
TetrODrive is a lightweight, 3D printed microdrive for electrophysiology and optophysiology. Marcel Brosch and colleagues developed and shared design files and build instructions for this device. TetrODrive can be used for in vivo tetrode recording, optical imaging,...
Giovanni Barbera and colleagues have created a versatile, 3D-printed, motorized commutator for neural recordings of small animals in vivo. Commutators are important components for managing the twisting of cables during in vivo neural recordings such as...
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