Adam D. Vareberg

Stimulation-mediated reverse engineering of silent neural networks

This paper introduces a method to reconstruct neuronal network connectivity from silent neurons using stimulation and supervised learning, achieving high-fidelity connection weight inference and accurate spike train prediction.

Wireless in vivo Recording of Cortical Activity by an Ion-Sensitive Field Effect Transistor

The paper introduces a wireless sensor for in vivo brain activity recording using an ion-sensitive field effect transistor and validates its performance in rodents.

Inference of Presynaptic Connectivity from Temporally Blurry Spike Trains by Supervised Learning

The paper introduces a supervised learning model to infer presynaptic connectivity from temporally blurry spike trains, demonstrating its effectiveness in reconstructing network connectivity under varying temporal blur conditions.