This project will allow to explore input/output solutions of spikes generated by (or sent to) neuromorphic chips using the Teensy 4.0 platform (ARM Cortex M7), and to characterize temporal (1us resolution) and bandwidth requirements.

The goal of this project is to develop new methods for representation learning of documents and sentences, that are trained to approximate the distance between two documents.

We study reinforcement learning of fundamental frequency (pitch) in songbirds and humans. When birds receive aversive reinforcement for low-pitch syllables they successfully learn to increase the syllables’ pitch.

We study the mechanisms of fundamental frequency (pitch) adaptation of songbird and human vocalizations. Adaptation can be induced as a response to distortions of pitch feedback.

We are employing MRI guided focused ultrasound based delivery of neuromodulators to control activity of specific brain micro circuits and subsequent cognitive behavior, which has both fundamental and medical applications.