3 papers
cs.NE2026
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…
q-bio.NC2026
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…
q-bio.NC2026
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…