Structural and functional mapping of neural circuits at a whole-brain level is an emerging area in neuroscience, with projects around the world attempting to map the mouse brain by cell type, activity, long and short term connectivity patterns, and circuit...
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...
HFOApp is a MATLAB-based software developed by Guangyu Zhou and colleagues for detecting and identifying HFOs. HFOs, or high frequency oscillations observed in EEG recordings, are used as a biomarker in epilepsy. Previously, HFOs in EEG recordings had to be manually...
Theoretical models of neural activity have led to major advances in how we understand the brain in simple and relatively complex behaviors. These models generally rely on synthetic generated data of brain activity and behaviors to be compared with real world...
One of the major issues in modeling neuronal correlates of behavior is the vastly different protocols and data analysis methods between labs. Coralie-Anne Mosser and colleagues, however, have found a solution to this problem with their novel device, the...
