Rastermap: a discovery method for neural population recordings

C Stringer, L Zhong, A Syeda, F Du, M Kesa… - Nature …, 2024 - nature.com
Neurophysiology has long progressed through exploratory experiments and chance
discoveries. Anecdotes abound of researchers listening to spikes in real time and noticing …

Supervised fine-tuned approach for automated detection of diabetic retinopathy

K Ohri, M Kumar - Multimedia Tools and Applications, 2024 - Springer
The factors that concern the current AI medical models are the lack of generalizing capability
when they are subjected to clinical data and also the scarcity of labeled medical data from …

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

N Nguyen, T Hou, E Amico, J Zheng, H Huang… - … Conference on Medical …, 2024 - Springer
Higher-order properties of functional magnetic resonance imaging (fMRI) induced
connectivity have been shown to unravel many exclusive topological and dynamical insights …

A practical guide for studying human behavior in the lab

J Barbosa, H Stein, S Zorowitz, Y Niv… - Behavior Research …, 2023 - Springer
In the last few decades, the field of neuroscience has witnessed major technological
advances that have allowed researchers to measure and control neural activity with great …

Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy

A Rokem, NC Benson - Neuroinformatics, 2024 - Springer
Abstract NeuroHackademy (https://neurohackademy. org) is a two-week event designed to
train early-career neuroscience researchers in data science methods and their application to …