Student Projects

Analyzing thalamo-cortical interactions with simultaneously acquired electrical and optical recordings (short or master thesis project)

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Master thesis: Mapping kinematic (or dynamics) into EMG for hand kinematics regression using hardware SNN

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Master thesis: Neuromorphic “Fitbit”: detect heart and movement activity to state estimation.

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Designing an MR compatible stereotaxic system for targeted drug delivery in sheep brain

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A custom syringe pump development for drug carrier injection for targeted drug delivery in brain

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Building and ARC task-generator with Reinforcement Learning

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MSc projects: Enhancing Communication for Individuals with Complex Congenital Disorders - A Personalized Speech Recognition Approach

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neuro2voc: Decoding vocalizations from neural activity

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MSc-Project: How do actions and goals change neural representations?

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Decoding of Intraneural Recordings in transfemoral amputees using Neuromorphic Computing (in collaboration with The University of Chicago)

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Citation Recommendation with Large Language Models

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Linking structure and function in RNNs trained on many cognitive tasks

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Semester Project/Masters Thesis: Modelling event-based and analog VLSI SNNs using Julia

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Pup ultrasonic vocalizations triggering alloparental retrieval

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Master Thesis: Localization of killer whale calls

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Master Thesis: Phased array radio localization for behavioral monitoring of birds

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Master thesis on Evolving Optimized Neuromorphic Hardware Architectures

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Master’s thesis in designing low-power and low-area sensing circuitry for resistive memory devices

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Behavioral Cloning on chips

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Reinforcement learning with spiking neural network models and chips

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On-chip few-shot learning of heartbeat anomaly on a new neural processing chip

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Semester Project: Embodied perception of brushstrokes

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Master Thesis controlling or forecasting systems with complex dynamics

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SPAIC: Modelling of an Event-Driven Spike Encoding System

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Semester project: Classifiying mouse behaviour using DeepLabCut

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Brain-inspired online training algorithms for neuromorphic hardware

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MSc Thesis: Are artificial recurrent neural networks a good model for cortex?

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NSC Projects (02.06.2022)

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MSC Thesis Project on attribution study of large language models

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RL theory: adapting value representations in a non-stationary world

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Multi-agent reinforcement learning

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MSC Thesis project wireless imaging device

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On-chip learning on a new neural processing chip

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NSC Projects (07.12.2021)

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Detection and behavioral analysis of a bird’s heartbeat and respiration

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Video-based Tracking of groups of Songbirds

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SA/MA: Event-driven network structural plasticity on neuromorphic chip

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SA/MA: Hierarchical sequence learning on mixed-signal neuromorphic hardware

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Meta-Learning with Hypernetworks and Multi-modal embeddings

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Event-based (Neuromorphic) radar signal encodings

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Chaotic dynamics with neuromorphic networks of spiking neurons

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NSC Projects (12.07.2021)

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Dealing with Device Mismatch in Deep Networks from an Algorithmic Perspective

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How does cortical processing of deviant stimuli shape perception (Semester/Thesis Project)

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Cooled DVS for 2D quantum trap atom detection - COOLDVS

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Assessing the well-being of laboratory rodents in behavioral experiments (Semester Project/ Master Thesis)

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Adaptive brain-like neural networks for control of robotic limbs in brain-inspired hardware- MSc Thesis project

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Master Project: A Neural Kalman Filter

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Developing real-time low-power multi-channel speech separation algorithms

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New projects from devices to systems with the Sensors group

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Designing real time interaction between machine and birds

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Neuronal population dynamics in a learned motor behavior.

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Investigate the neural code along the output axis of the brains memory system

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Neuromorphic chip interface with a microcontroller - Master project

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.

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Design and implementation of dissolvable elastic electrodes for stable neuronal activity recording

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Detecting iEEG High Frequency Oscillations Using Event-mapped Hyperdimensional Computing

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Biophysical characterization of the subdural local field potentials in mouse neocortex and fabricating low-impedance flexible electrode arrays

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Fabrication of flexible shank-electrodes for long-term multi-area electrophysiological recordings in the prefrontal areas of behaving rats

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Reinforcement Learning of Visual Decision Making in RNNs (Master Thesis)

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Development of Electronic Hardware and Control Software for a Miniaturized Microscope

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Text Embeddings Optimized for Distance Computations (MSc Thesis)

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.

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Intrinsic Optical Imaging for the Mapping of Cortical Responses

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Online Monitoring of Vital Signs & Anesthesia during Neural Recordings

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Fully automated extraction of neural signals from imaging data

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Psychophysical Theory of Human Pitch Processing

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.

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Reinforcement learning of human vocal behavior

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.

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Deep neural networks for auditory scene analysis

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A Spike based ADC for calcium bio-signal recording in the mouse brain

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