Ronald Tetzlaff

Guest of Prof. L.O. Chua

University of California, Berkeley

United States

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Ronald Tetzlaff is a Guest Professor at the University of California, Berkeley, USA. His research areas include theoretical analysis of neural networks, memristor technology, and dynamics of cellular nonlinear networks. His recent articles focus on topics such as the Smale Paradox, Hodgkin-Huxley models, and the dynamic effects of device variability in memristive systems.

Articles (24)

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2025

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (3)

MICHELE BONNIN

Polytechnic University of Turin

ITALY

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Ahmet Samil Demirkol

Technische Universität Dresden

GERMANY

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Vasileios Ntinas

Assistant Professor

Aalborg University

DENMARK

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Ronald Tetzlaff

Research Interests

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About

Articles (24)

Theoretical Analysis and Hardware Reproduction of Smale Paradox Based on CCM Neurons and Edge of Chaos

Edge of Chaos Theory Unveils the First and Simplest Ever Reported Hodgkin–Huxley Neuristor

A Fast and Compact Threshold Switch-Based Cellular Nonlinear Network Cell

Stochastic Templates and Noise Dynamics in Memristor Cellular Nonlinear Networks

Theoretical Analysis and Hardware Reproduction of the Hodgkin-Huxley Bifurcation Diagram in a LAM-Based Neuron on Edge of Chaos

Dynamic Analysis of the Effect of the Device-to-Device Variability of Real-World Memristors on the Implementation of Uncoupled Memristive Cellular Nonlinear Networks

Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems using Neural Networks: Protrusions and Particles

Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems Using Neural Networks: Protrusions and Particles

Analytical Solutions for Charge and Flux in HP Ideal Generic Memristor Model With Joglekar and Prodromakis Window Functions

High Frequency Response of Volatile Memristors

Local Activity Principle: Cause of Insulin Secretion by Pancreatic $\beta $-cells

An analytical approach to engineer multistability in the oscillatory response of a pulse-driven ReRAM

Seizure forecasting with ultra long-term EEG signals

Respiration and heartbeat motion correction of intraoperative thermographic images in neurosurgery

Exact Inductorless Realization of Chua Circuit Using Two Active Elements

High Frequency Response of Non-Volatile Memristors

Self-Supervised Health Index Curve Generation for Condition-Based Predictive Maintenance

Graph Coloring via Locally-Active Memristor Oscillatory Networks

Toward Simplified Physics-Based Memristor Modeling of Valence Change Mechanism Devices

Coherent false seizure prediction in epilepsy, coincidence or providence?

Edge of Chaos Theory Resolves Smale Paradox

Registration of IRT and visible light images in neurosurgery: analysis and comparison of automatic intensity-based registration approaches

Selective and self-validating breath-level detection of hydrogen sulfide in humid air by gold nanoparticle-functionalized nanotube arrays

A Compact and Continuous Reformulation of the Strachan TaO&#x2093; Memristor Model With Improved Numerical Stability

Collaborators (3)

MICHELE BONNIN

Ahmet Samil Demirkol

Vasileios Ntinas

Make your next move.

Ronald Tetzlaff

Research Interests

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Contact this professor

About

Articles (24)

Theoretical Analysis and Hardware Reproduction of Smale Paradox Based on CCM Neurons and Edge of Chaos

Edge of Chaos Theory Unveils the First and Simplest Ever Reported Hodgkin–Huxley Neuristor

A Fast and Compact Threshold Switch-Based Cellular Nonlinear Network Cell

Stochastic Templates and Noise Dynamics in Memristor Cellular Nonlinear Networks

Theoretical Analysis and Hardware Reproduction of the Hodgkin-Huxley Bifurcation Diagram in a LAM-Based Neuron on Edge of Chaos

Dynamic Analysis of the Effect of the Device-to-Device Variability of Real-World Memristors on the Implementation of Uncoupled Memristive Cellular Nonlinear Networks

Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems using Neural Networks: Protrusions and Particles

Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems Using Neural Networks: Protrusions and Particles

Analytical Solutions for Charge and Flux in HP Ideal Generic Memristor Model With Joglekar and Prodromakis Window Functions

High Frequency Response of Volatile Memristors

Local Activity Principle: Cause of Insulin Secretion by Pancreatic $\beta $-cells

An analytical approach to engineer multistability in the oscillatory response of a pulse-driven ReRAM

Seizure forecasting with ultra long-term EEG signals

Respiration and heartbeat motion correction of intraoperative thermographic images in neurosurgery

Exact Inductorless Realization of Chua Circuit Using Two Active Elements

High Frequency Response of Non-Volatile Memristors

Self-Supervised Health Index Curve Generation for Condition-Based Predictive Maintenance

Graph Coloring via Locally-Active Memristor Oscillatory Networks

Toward Simplified Physics-Based Memristor Modeling of Valence Change Mechanism Devices

Coherent false seizure prediction in epilepsy, coincidence or providence?

Edge of Chaos Theory Resolves Smale Paradox

Registration of IRT and visible light images in neurosurgery: analysis and comparison of automatic intensity-based registration approaches

Selective and self-validating breath-level detection of hydrogen sulfide in humid air by gold nanoparticle-functionalized nanotube arrays

A Compact and Continuous Reformulation of the Strachan TaO&amp;#x2093; Memristor Model With Improved Numerical Stability

Collaborators (3)

MICHELE BONNIN

Ahmet Samil Demirkol

Vasileios Ntinas

Make your next move.

A Compact and Continuous Reformulation of the Strachan TaOₓ Memristor Model With Improved Numerical Stability