DL
Publications
- A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus
- Continuation analysis of a phase/quadrature electronic oscillator
- Command-line cellular electrophysiology for conventional and real-time closed-loop experiments.
- High bandwidth synaptic communication and frequency tracking in human neocortex.
- System identification of spiking neuron networks: a model-driven approach.
- Inferring network dynamics and neuron properties from population recordings
- Piecewise-linear approximation of the Hindmarsh-Rose neuron model
- Pyramidal Neurons Derived from Human Pluripotent Stem Cells Integrate Efficiently into Mouse Brain Circuits In Vivo
- Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation
- Codimension-Two Homoclinic Bifurcations Underlying Spike Adding in the Hindmarsh-Rose Burster
- PWL approximation of the Hindmarsh-Rose neuron model in view of its circuit implementation
- Experimental bifurcation diagram of a circuit-implemented neuron model
- On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro.
- Application of Envelope-Following Techniques to the Shooting Method
- Simulation of Stochastic Electromagnetic Transients in EMTP: a Bug Turned Into a Feature
- A method based on a genetic algorithm to find PWL approximations of multivariate nonlinear functions
- Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic Inputs In Vitro
- Nonlinear behavioural model of charge pump PLLs
- bal: A library for the brute-force analysis of dynamical systems
- Dynamical response properties of neocortical neurons to conductance-driven time-varying inputs
- Closed-Loop Methodologies for Cellular Electrophysiology
- Synchronization properties in networks of Hindmarsh-Rose neurons and their PWL approximations with linear symmetric coupling
- Human Pluripotent Stem-Cell-Derived Cortical Neurons Integrate Functionally into the Lesioned Adult Murine Visual Cortex in an Area-Specific Way
- Real-time electrophysiology: Using closed-loop protocols to probe neuronal dynamics and beyond
- PWL approximation of the Hindmarsh-Rose neuron model in view of its circuit implementation
- Method based on a genetic algorithm to find PWL approximations of multivariate nonlinear functions
- Synchronization properties in networks of Hindmarsh-Rose neurons and their PWL approximations with linear symmetric coupling
- Harmonic analysis of oscillators through standard numerical continuation tools
- The Hindmarsh-Rose neuron model: Bifurcation analysis and piecewise-linear approximations
- Numerical Approach to Compute the Power Flow Solution of Hybrid Generation, Transmission and Distribution Systems
- A Nonlinear Behavioral Ferrite-Core Inductance Model Able to Reproduce Thermal Transients in Switch-Mode Power Supplies
- Partitioning-Based Unified Power Flow Algorithm for Mixed MTDC/AC Power Systems
- Application of Envelope-Following Techniques to the Simulation of Hybrid Power Systems
- Modular Multilevel Converter Impedance Computation Based on Periodic Small-Signal Analysis and Vector Fitting
- Cell type-specific mechanisms of information transfer in data-driven biophysical models of hippocampal CA3 principal neurons
- CONTINUATION ANALYSIS OF A PHASE/QUADRATURE ELECTRONIC OSCILLATOR
- HARMONIC ANALYSIS OF OSCILLATORS THROUGH STANDARD NUMERICAL CONTINUATION TOOLS
- Isomorphic Circuit Clustering for Fast and Accurate Electromagnetic Transient Simulations of MMCs
- PanSuite: A free simulation environment for the analysis of hybrid electrical power systems
- Impact of Passive-Components’ Models on the Stability Assessment of Inverter-Dominated Power Grids
- Modular Multilevel Converter Modelling and Simulation for HVDC Systems
- Modular Multilevel Converters: Key Features, Control Strategies and Main Challenges
- Introduction
- Conclusion
- Validation of the Isomorphism-Based Approach
- Modular Multilevel Converter Models and Simulation Approaches
- On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models With Stochastic Processes
- Inertia Estimation Through Covariance Matrix
- Continuous Estimation of Power System Inertia Using Convolutional Neural Networks
- Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic InputsIn Vitro
- Continuous estimation of power system inertia using convolutional neural networks
- Dynamical response properties of neocortical neurons to conductance‐driven time‐varying inputs
- Determination of modular multilevel converters admittances and their impacts on HVDC power system stability
- Shooting method based modular multilevel converter initialization for electromagnetic transient analysis
- Inertia Estimation of a Power System Area Based on Iterative Equation Error System Identification
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Co-workers & collaborators
- MG
Michele Giugliano
Neuroscientist - Modena, Italy
- b
bistvan2001@gmail.com
- GO
Gabriel K. Ocker
- BD
Brent Doiron
- DH
David Hunt