- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Memory and Neural Mechanisms
- Advanced Memory and Neural Computing
- Biomedical and Engineering Education
- Photoreceptor and optogenetics research
- Science, Research, and Medicine
- Epilepsy research and treatment
- Neural and Behavioral Psychology Studies
- Health and Medical Research Impacts
Carnegie Mellon University
2022-2025
Oxford Centre for Computational Neuroscience
2018-2024
University College London
2018-2024
ETH Zurich
2013
University of Zurich
2013
Abstract The complex neural population activity of prefrontal cortex (PFC) is a hallmark cognitive processes. How these rich dynamics emerge and support computations largely unknown. Here, we infer mechanisms underlying the context-dependent selection integration sensory inputs by fitting dynamical models to PFC responses behaving monkeys. A class implementing linear driven external accurately captured within each context, achieving performance comparable without constraints. Two distinct...
Delay period activity in the dorso-lateral prefrontal cortex (dlPFC) has been linked to maintenance and control of sensory information working memory. The stability memory related signals found such delay is believed support robust memory-guided behavior during perturbations, as distractors. Here, we directly probed dlPFC's with a diverse set measured their consequences on neural behavior. We applied patterned microstimulation dlPFC monkeys implanted multi-electrode arrays by electrically...
Abstract Models of complex heterogeneous systems like the brain are inescapably incomplete, and thus always falsified with enough data. As neural data grow in volume complexity, absolute measures adequacy being replaced by model selection methods that rank relative accuracy competing theories. Selection still depends on incomplete mathematical instantiations, but implicit expectation is ranking robust to their details. Here we highlight a contrary finding “brittleness,” where matching one...
In the last few decades humanity has experienced a true technological revolution. The discoveries of this Information Era have found applications in myriad domains. Most recently, there been an explosion new information technologies designed to directly communicate with our bodies, and most notably, brains. These so-called neurotechnologies might fundamentally transform way we interact external world, promise revolutionize medical field. Neurological psychiatric conditions identified as some...
Advances in medical neurotechnology (MNT) have the potential to improve evaluation and management of conditions nervous system. Meanwhile, increasing concern over ethical questions risks posed by these technologies has prompted various institutional initiatives examine aspects their design, development, deployment. Funding public agencies, foundations, private investors plays a fundamental role driving MNT research development (R&D). As such, perspectives approaches funders can be central...
The complex neural activity of prefrontal cortex (PFC) is a hallmark cognitive processes. How these rich dynamics emerge and support computations largely unknown. Here, we infer mechanisms underlying the context-dependent integration sensory inputs by fitting dynamical models to PFC population responses behaving monkeys. A class implementing linear driven external accurately captured within contexts revealed equally performing mechanisms. One model implemented recurrent relied on transient...