A5032587917- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Reinforcement Learning in Robotics
- Muscle activation and electromyography studies
- Nanopore and Nanochannel Transport Studies
- Carbon Nanotubes in Composites
- Advanced biosensing and bioanalysis techniques
- stochastic dynamics and bifurcation
- Children's Physical and Motor Development
- Ultrasound and Cavitation Phenomena
- Ultrasound and Hyperthermia Applications
- Ultrasound Imaging and Elastography
- Motor Control and Adaptation
- Advanced Bandit Algorithms Research
- Decision-Making and Behavioral Economics
University of Geneva
2019-2024
ETH Zurich
2020
SIB Swiss Institute of Bioinformatics
2020
Indian Institute of Technology Bombay
2015
Abstract Non-invasive, molecularly-specific, focal modulation of brain circuits with low off-target effects can lead to breakthroughs in treatments disorders. We systemically inject engineered ultrasound-controllable drug carriers and subsequently apply a novel two-component Aggregation Uncaging Focused Ultrasound Sequence (AU-FUS) at the desired targets inside brain. The first sequence aggregates millimeter-precision by orders magnitude. second uncages carrier’s cargo locally achieve high...
Efficient musculoskeletal simulators and powerful learning algorithms provide computational tools to tackle the grand challenge of understanding biological motor control. Our winning solution for inaugural NeurIPS MyoChallenge leverages an approach mirroring human skill learning. Using a novel curriculum approach, we trained recurrent neural network control realistic model hand with 39 muscles rotate two Baoding balls in palm hand. In agreement data from subjects, policy uncovers small...
The hybrids of single-walled carbon nanotube (SWCNT) and single stranded DNA (ssDNA) are novel nanoscale materials having remarkable applications in nanotechnology. absorption nucleobases on the surface a SWCNT depends strongly ionic strength medium. In this paper, using atomistic molecular dynamics we have shown that at low salt concentration ssDNA wraps through hydrophobic π-π stacking between bases sp(2)-hybridized atoms nanotube. At high concentration, however, molecule adopts partially...
Abstract Every-day decisions frequently require choosing among multiple alternatives. Yet, the optimal policy for such is unknown. Here we derive normative general multi-alternative decisions. This strategy requires evidence accumulation to nonlinear, time-dependent bounds, that trigger choices. A geometric symmetry in those boundaries allows be implemented by a simple neural circuit involving normalization with fixed decision bounds and an urgency signal. The model captures several key...
Biological brains are inherently limited in their capacity to process and store information, but nevertheless capable of solving complex tasks with apparent ease. Intelligent behavior is related these limitations, since resource constraints drive the need generalize assign importance differentially features environment or memories past experiences. Recently, there have been parallel efforts reinforcement learning neuroscience understand strategies adopted by artificial biological agents...