Daniele Linaro

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