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Cortical.network
Home
About
Projects
Spiking Neural Networks with Tuned Assemblies
Scalable Factor Analysis
Proprioceptive Encoding in Motor Cortex
Publications
The Structure & Dimension of Variability Across Multi-Area Cortical Circuits
Tactile Afferent Stimulation Patterns for Neural Prosthetics
Coordinated Cybersecurity Incident Handling
CV
Home
About
Projects
Spiking Neural Networks with Tuned Assemblies
Scalable Factor Analysis
Proprioceptive Encoding In Motor Cortex
Publications
The Structure and Dimension of Variability Across Multi-Area Cortical Circuits
Generating Tactile Afferent Stimulation Patterns for Slip and Touch Feedback in Neural Prosthetics
Coordinated Cybersecurity Incident Handling
CV
Danielle Rager, PhD
Neuroscientist researching the mechanisms of cortical computation using network models and simulations.
PhD in Neural Computation, Carnegie Mellon University.
Former Department of Energy Computational Science Graduate Fellow and Whitaker International Fellow.
Cosyne 2020 Talk
Projects & Publications
All
Projects
Publications
Spiking Neural Networks with Tuned Assemblies
Computational Neuroscience
Scalable Factor Analysis
Distributed Machine Learning
Proprioceptive encoding in motor cortex
Brain-Machine Interfaces
The structure & dimension of variability across multi-area cortical circuits
Doctoral Thesis in Neural Computation
Generating tactile afferent stimulation patterns for slip and touch feedback in neural prosthetics
Brain-Machine Interfaces
Coordinated Cybersecurity Incident Handling: Roles, Processes, and Coordination Networks for Crosscutting Incidents
Cybersecurity
Pittsburgh, PA, US
Github
danielle@cortical.network