Optimal Spike-based Encoding (Analog to Spike - ASC) Methods for Wearable EEG
Multimodal Neuromorphic Sensory Fusion with Hardware-Aware Spiking Neural Networks for Biomedical Applications
Neuromorphic implementation of a spiking neural network (SNN) for optimizing water supply based on moisture data
Biophysical neural network modelling of flexible reinforcement learning
Exploring the neural manifolds of flexible learning
Neuromorphic Detection of Abnormal Respiratory Patterns Using Smart Textile Sensors
Training Neuromorphic Devices with a novel feedback control algorithm - Applications for online learning with spikes
Hierarchical Organization of Human and Animal Vocalizations
Master thesis - Controller for transcutaneous electrical nerve stimulation (TENS) to non-invasively provide tactile sensory feedback for amputees (collaboration with Johns Hopkins University)
Master Thesis /Semester Project – Enhancing Prosthetic and Robotic Devices with Neuromorphic Spiking Neural Networks for Tactile Object Classification
Semester project - Modeling the Human Vestibular System Encoding Using a Neuromorphic Chip
Master Thesis - Investigating Corticomuscular Coherence (CMC) in Cognitive and Muscular Fatigue during Dual Tasks (in collaboration with IIT in Genova)
Self-supervised state space geometry learning and goal generation for reinforcement learning
Master Thesis/PhD Position: Rapid Adaptive Task Learning Inspired by Hierarchical Networks
Short project: Learn to navigate within scenes by leveraging object representation and interaction.
Master Thesis: Songbird brother experiment
MSc Thesis / Semester Project: Real-time control of focused ultrasound intensities using passive cavitation imaging (PCI): applications to targeted drug delivery
NeuroQuake: Sparse SNN models for continual, multi-modal and multi-step earthquake forecasting using the NEST simulator
Master Thesis/ Project: Target Vocalization Extraction in Zebra Finches
NSC Projects (15.12.2023)
Semester Project: Pitch detection for birdsong
Analyzing thalamo-cortical interactions with simultaneously acquired electrical and optical recordings (short or master thesis project)
Designing an MR compatible stereotaxic system for targeted drug delivery in sheep brain
A custom syringe pump development for drug carrier injection for targeted drug delivery in brain
Building and ARC task-generator with Reinforcement Learning
MSc projects: Enhancing Communication for Individuals with Complex Congenital Disorders - A Personalized Speech Recognition Approach
neuro2voc: Decoding vocalizations from neural activity
MSc-Project: How do actions and goals change neural representations?
Semester Project/Masters Thesis: Modelling event-based and analog VLSI SNNs using Julia
Pup ultrasonic vocalizations triggering alloparental retrieval
Master Thesis: Localization of killer whale calls
Master Thesis: Phased array radio localization for behavioral monitoring of birds
Master thesis on Evolving Optimized Neuromorphic Hardware Architectures
Master’s thesis in designing low-power and low-area sensing circuitry for resistive memory devices
Behavioral Cloning on chips
Reinforcement learning with spiking neural network models and chips
On-chip few-shot learning of heartbeat anomaly on a new neural processing chip
Semester Project: Embodied perception of brushstrokes
Master Thesis controlling or forecasting systems with complex dynamics
SPAIC: Modelling of an Event-Driven Spike Encoding System
Semester project: Classifiying mouse behaviour using DeepLabCut
Brain-inspired online training algorithms for neuromorphic hardware
MSc Thesis: Are artificial recurrent neural networks a good model for cortex?
NSC Projects (02.06.2022)
RL theory: adapting value representations in a non-stationary world
Multi-agent reinforcement learning
MSC Thesis Project on attribution study of large language models
On-chip learning on a new neural processing chip
NSC Projects (07.12.2021)
Detection and behavioral analysis of a bird’s heartbeat and respiration
SA/MA: Event-driven network structural plasticity on neuromorphic chip
SA/MA: Hierarchical sequence learning on mixed-signal neuromorphic hardware
Meta-Learning with Hypernetworks and Multi-modal embeddings
Event-based (Neuromorphic) radar signal encodings
Chaotic dynamics with neuromorphic networks of spiking neurons
NSC Projects (12.07.2021)
Dealing with Device Mismatch in Deep Networks from an Algorithmic Perspective
How does cortical processing of deviant stimuli shape perception (Semester/Thesis Project)
Cooled DVS for 2D quantum trap atom detection - COOLDVS
Assessing the well-being of laboratory rodents in behavioral experiments (Semester Project/ Master Thesis)
Adaptive brain-like neural networks for control of robotic limbs in brain-inspired hardware- MSc Thesis project
Master Project: A Neural Kalman Filter
Developing real-time low-power multi-channel speech separation algorithms
New projects from devices to systems with the Sensors group
Designing real time interaction between machine and birds
Neuronal population dynamics in a learned motor behavior.
Investigate the neural code along the output axis of the brains memory system
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.
Design and implementation of dissolvable elastic electrodes for stable neuronal activity recording
Detecting iEEG High Frequency Oscillations Using Event-mapped Hyperdimensional Computing
Biophysical characterization of the subdural local field potentials in mouse neocortex and fabricating low-impedance flexible electrode arrays
Fabrication of flexible shank-electrodes for long-term multi-area electrophysiological recordings in the prefrontal areas of behaving rats
Reinforcement Learning of Visual Decision Making in RNNs (Master Thesis)
Development of Electronic Hardware and Control Software for a Miniaturized Microscope
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.
Intrinsic Optical Imaging for the Mapping of Cortical Responses
Online Monitoring of Vital Signs & Anesthesia during Neural Recordings
Fully automated extraction of neural signals from imaging data
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.
Deep neural networks for auditory scene analysis
A Spike based ADC for calcium bio-signal recording in the mouse brain
UZH - ETH Zurich students:
If you are interested in working on one of the projects listed above, there is always the possibility of defining sub-projects and objectives suitable for Master theses and Semesterarbeits. Please contact your prospective supervisor directly, and arrange a meeting with him or her.
International students:
Unfortunately we do not have any means of providing financial support for internships or thesis projects. However, if you find alternative sources of funding or can provide your own financial support, we can define student/thesis projects, provide the necessary lab and office space, and supervise your work. Given the experimental nature of the work being carried out in our lab, involving the design or use of custom analog VLSI devices, it only makes sense to consider project durations of at least 6 months.
Please make sure you can demonstrate your ability to financially support yourself (mainly for visa reasons) before contacting your prospective supervisor.