1 citations · 1 across the 5 of their papers we have counts for
5 papers
Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
Binh Nguyen, Colleen Josephson, Mircea Teodorescu +2
Neuromorphic and edge computing research has focused on reducing the inference cost of neural network controllers, yet in physical closed-loop systems the actuator can rival or exc…
Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
John R. Minnick, Jesus Gonzalez-Ferrer, Kamran Hussain +6
Closed-loop brain-computer interfaces often require both a forecast of upcoming neural population activity and a readout of the animal's behavioral state. A single Mamba forecaster…
SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
John R. Minnick, Jinghui Geng, Kamran Hussain +6
Neural population models, which predict the joint firing of many simultaneously recorded neurons forward in time, are typically evaluated by a single aggregate Pearson correlation…
A computer vision based optical method for measuring fluid level in cell culture plates
Pierre V. Baudin, Mircea Teodorescu
For a transparent well with a known volume capacity, changes in fluid level result in predictable changes in magnification of an overhead light source. For a given well size and fl…
Statdepth: a package for analysis of functional and pointcloud data using statistical depth
Julian Lehrer, Mircea Teodorescu, Yohei Rosen
Laboratory scientists are well equipped with statistical tools for univariate data, yet many phenomena of scientific interest are time-variant or otherwise multidimensional. Functi…