Understanding cellular composition and brain circuit function in health and disease
We use a multidisciplinary approach blending biology, engineering, computer science and statistics to understand how cellular makeup impacts neural activity in the brain, in health or disease.
Despite unprecedented insights into the brain's composition we still do not understand how cellular activity organizes at the circuit level and bridges to cognitive computations. This challenge is particularly acute in humans, where we lack the tools to establish causal links between cell types and brain computations. How do human neurons of all flavors combine to produce cognition? What principles underly such computations? Can these computations be reverse-engineered and simulated from first principles?
We develop tools to unravel causal links in human microcircuit dynamics and cognition in health and disease. To do so, we adopt a multidisciplinary approach combining biophysics, statistical learning, optimization, computational simulation, and biophysics-informed AI.
Research Associate II
Supporting research activities and experimental protocols in the laboratory.
Graduate Student
Investigating the role of cellular diversity in neural circuit function using electrophysiological and transcriptomic approaches.
Postdoctoral Fellow
Contributing to research projects and laboratory initiatives.
Postdoctoral Fellow
Leading computational neuroscience projects at the level of human cellular and network biophysics and dynamics at Cedars-Sinai Medical Center.
AI Assistant
The anonymous AI agent providing all sorts of support for code production, analysis implementations, and general lubrication in what used-to-be impenetrable areas.
Comprehensive analysis of individual neuron properties and their role in neural circuit function and disease mechanisms.
Advanced computational models of human neural circuits, integrating multi-modal data to understand brain function and dysfunction.
Investigating the cellular and circuit-level mechanisms underlying human epilepsy through computational modeling and analysis.
Development and application of advanced technologies for modulating brain activity, including electrical stimulation and optogenetics approaches.
Development of biophysics-informed artificial intelligence approaches for understanding neural computation and brain function.
Department of Neurosurgery
The Postdoctoral Scientist will focus on neuro-inspired AI applications and the development of new model generation pipelines.
Department of Neurosurgery
The Project Scientist will focus on data-driven, human-centered models of neurons and microcircuits.
Department of Neurosurgery
The RA will focus on developing pipelines to analyze and model human electrophysiology data.
Department of Neurosurgery
Postdoctoral position in the Anastassiou and Rutishauser labs focusing on modeling intracellular and extracellular dynamics and biophysics in human microcircuits.
Don't see a position that fits? We're always interested in hearing from talented researchers!
For all positions, strong coding and data wrangling skills are essential. A PhD and track record of first author publications are required for postdoc positions.
Please reach out to Costas Anastassiou if interested in any of the above.
Department of Neurosurgery
Cedars-Sinai Medical Center
Advanced Health Sciences Pavilion
Office A9313
127 S San Vicente Blvd
Los Angeles, CA 90048
costas.anastassiou@cshs.org
Tel (o): 424-315-2698