Andre D. H. Peterson

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All published works

Action	Title	Year	Authors
+ PDF Chat	On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case	2024	Jonas F. Haderlein Andre D. H. Peterson Parvin Zarei Eskikand Anthony N. Burkitt Iven Mareels David B. Grayden
+ PDF Chat	Autoregressive models for biomedical signal processing	2023	Jonas F. Haderlein Andre D. H. Peterson Anthony N. Burkitt Iven Mareels David B. Grayden
+	On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case	2023	Jonas F. Haderlein Andre D. H. Peterson Parvin Zarei Eskikand Anthony N. Burkitt Iven Mareels David B. Grayden
+	Autoregressive models for biomedical signal processing	2023	Jonas F. Haderlein Andre D. H. Peterson Anthony N. Burkitt Iven Mareels David B. Grayden
+	Path Signatures for Seizure Forecasting	2023	Jonas F. Haderlein Andre D. H. Peterson Parvin Zarei Eskikand Mark Cook Anthony N. Burkitt Iven Mareels David B. Grayden
+ PDF Chat	Neural Field Models: A mathematical overview and unifying framework	2022	Blake J. Cook Andre D. H. Peterson Wessel Woldman John R. Terry
+	Eigenvalue spectral properties of sparse random matrices obeying Dale's law	2022	Isabelle D. Harris Hamish Meffin Anthony N. Burkitt Andre D. H. Peterson
+ PDF Chat	On the benefit of overparameterization in state reconstruction	2021	Jonas F. Haderlein Iven Mareels Andre D. H. Peterson Parvin Zarei Eskikand Anthony N. Burkitt David B. Grayden
+	On the benefit of overparameterization in state reconstruction	2021	Jonas F. Haderlein Iven Mareels Andre D. H. Peterson Parvin Zarei Eskikand Anthony N. Burkitt David B. Grayden
+	Neural Field Models: historical perspectives and recent advances	2021	Blake J. Cook Andre D. H. Peterson Wessel Woldman John R. Terry
+	On the benefit of overparameterization in state reconstruction	2021	Jonas F. Haderlein Iven Mareels Andre D. H. Peterson Parvin Zarei Eskikand Anthony N. Burkitt David B. Grayden
+ PDF Chat	Consequences of Dale's law on the stability-complexity relationship of random neural networks	2020	J. R. Ipsen Andre D. H. Peterson
+	Are current-based synapses an accurate enough approximation? A homotopic mapping between current-based and conductance-based synapses in a neural field model of epilepsy	2015	Andre D. H. Peterson Hamish Meffin Mark Cook David B. Grayden Anthony N. Burkitt Iven Mareels
+	A homotopic mapping between current-based and conductance-based synapses in a mesoscopic neural model of epilepsy	2015	Andre D. H. Peterson Hamish Meffin Mark Cook David B. Grayden Iven Mareels Anthony N. Burkitt
+	A homotopic mapping between current-based and conductance-based synapses in a mesoscopic neural model of epilepsy	2015	Andre D. H. Peterson Hamish Meffin Mark Cook David B. Grayden Iven Mareels Anthony N. Burkitt

Common Coauthors

Coauthor	Papers Together
David B. Grayden	11
Iven Mareels	11
Anthony N. Burkitt	11
Jonas F. Haderlein	8
Parvin Zarei Eskikand	6
Mark Cook	4
Hamish Meffin	4
Wessel Woldman	2
John R. Terry	2
Blake J. Cook	2
Anthony N. Burkitt	1
J. R. Ipsen	1
Isabelle D. Harris	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A parameter estimation approach to state observation of nonlinear systems	2015	Roméo Ortega Alexey Bobtsov Anton A. Pyrkin Stanislav Aranovskiy	3
+	Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning.	2020	Chaoyue Liu Libin Zhu Mikhail A. Belkin	3
+	Detecting strange attractors in turbulence	1981	Floris Takens	3
+ PDF Chat	Consequences of Dale's law on the stability-complexity relationship of random neural networks	2020	J. R. Ipsen Andre D. H. Peterson	3
+ PDF Chat	Dynamics of random neural networks with bistable units	2014	Merav Stern Haim Sompolinsky L. F. Abbott	2
+ PDF Chat	Neural mass modeling of slow-fast dynamics of seizure initiation and abortion	2020	Elif Köksal Ersöz Julien Modolo Fabricē Bartolomei Fabrice Wendling	2
+ PDF Chat	The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics	2009	John R. Cressman Ghanim Ullah Jokūbas Žiburkus Steven J. Schiff Ernest Barreto	2
+	Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose-response curves.	1978	André DeLÉAN Peter J. Munson David Rodbard	2
+ PDF Chat	On the benefit of overparameterization in state reconstruction	2021	Jonas F. Haderlein Iven Mareels Andre D. H. Peterson Parvin Zarei Eskikand Anthony N. Burkitt David B. Grayden	2
+	Surface Areas of the Cerebral Cortex of Mammals Determined by Stereological Methods	1969	Hans Elias David H. Schwartz	2
+	Discovering governing equations from data by sparse identification of nonlinear dynamical systems	2016	Steven L. Brunton Joshua L. Proctor J. Nathan Kutz	2
+ PDF Chat	Fast and slow domino regimes in transient network dynamics	2017	Peter Ashwin Jennifer Creaser Krasimira Tsaneva‐Atanasova	2
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	2
+ PDF Chat	Fast–Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes	2017	Maria Luisa Saggio Andreas Spiegler Christophe Bernard Viktor Jirsa	2
+ PDF Chat	Data-Driven Identification of Parametric Partial Differential Equations	2019	Samuel Rudy Alessandro Alla Steven L. Brunton J. Nathan Kutz	2
+ PDF Chat	Nonlinear System Identification: A User-Oriented Road Map	2019	J. Schoukens Lennart Ljung	2
+ PDF Chat	Topological and Dynamical Complexity of Random Neural Networks	2013	Gilles Wainrib Jonathan Touboul	2
+ PDF Chat	Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience	2016	Peter Ashwin Stephen Coombes Rachel Nicks	1
+ PDF Chat	Nonlinear analogue of the May−Wigner instability transition	2016	Yan V. Fyodorov Boris A. Khoruzhenko	1
+	Are current-based synapses an accurate enough approximation? A homotopic mapping between current-based and conductance-based synapses in a neural field model of epilepsy	2015	Andre D. H. Peterson Hamish Meffin Mark Cook David B. Grayden Anthony N. Burkitt Iven Mareels	1
+ PDF Chat	Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex	2016	Nima Dehghani Adrien Peyrache Bartosz Teleńczuk Michel Le Van Quyen Eric Halgren Sydney S. Cash Nicholas G. Hatsopoulos Alain Destexhe	1
+ PDF Chat	Intrinsically-generated fluctuating activity in excitatory-inhibitory networks	2017	Francesca Mastrogiuseppe Srdjan Ostojic	1
+ PDF Chat	Finite-Size Effects on Traveling Wave Solutions to Neural Field Equations	2017	Eva Lang Wilhelm Stannat	1
+ PDF Chat	Next Generation Neural Mass Models	2018	Stephen Coombes Áine Byrne	1
+ PDF Chat	May–Wigner transition in large random dynamical systems	2017	J. R. Ipsen	1
+ PDF Chat	Unified neural field theory of brain dynamics underlying oscillations in Parkinson’s disease and generalized epilepsies	2017	Eli J. Müller Sacha J. van Albada J.W. Kim P. A. Robinson	1
+ PDF Chat	Next-generation neural field model: The evolution of synchrony within patterns and waves	2019	Áine Byrne Daniele Avitabile Stephen Coombes	1
+	Surprises in high-dimensional ridgeless least squares interpolation	2022	Trevor Hastie Andrea Montanari Saharon Rosset Ryan J. Tibshirani	1
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	1
+	Before and beyond the Wilson-Cowan equations.	2019	Carson C. Chow Yahya Karimipanah	1
+ PDF Chat	Wandering Bumps in Stochastic Neural Fields	2013	Zachary P. Kilpatrick Bard Ermentrout	1
+	Does data interpolation contradict statistical optimality?	2018	Mikhail A. Belkin Alexander Rakhlin Alexandre B. Tsybakov	1
+ PDF Chat	Numerical Solution of the Neural Field Equation in the Two-Dimensional Case	2015	Pedro M. Lima Evelyn Buckwar	1
+	Benefits of over-parameterization with EM	2018	Ji Xu Daniel Hsu Arian Maleki	1
+	Reconciling modern machine-learning practice and the classical bias–variance trade-off	2019	Mikhail Belkin Daniel Hsu Siyuan Ma Soumik Mandal	1
+ PDF Chat	Exact Recovery of Chaotic Systems from Highly Corrupted Data	2017	Giang Tran Rachel Ward	1
+ PDF Chat	Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling	2020	Jan Decuyper Koen Tiels Mark Runacres J. Schoukens	1
+ PDF Chat	Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models	2020	Marco Segneri Hongjie Bi Simona Olmi Alessandro Torcini	1
+	High-dimensional dynamics of generalization error in neural networks	2020	Madhu Advani Andrew Saxe Haim Sompolinsky	1
+ PDF Chat	Around the circular law	2012	Charles Bordenave Djalil Chafaï	1
+ PDF Chat	Large Deviations for Nonlocal Stochastic Neural Fields	2014	Christian Kuehn Martin Riedler	1
+ PDF Chat	Kac–Rice fixed point analysis for single- and multi-layered complex systems	2018	J. R. Ipsen Peter J. Forrester	1
+ PDF Chat	Low dimensional behavior of large systems of globally coupled oscillators	2008	Edward Ott Thomas M. Antonsen	1
+ PDF Chat	Macroscopic Description for Networks of Spiking Neurons	2015	Ernest Montbrió Diego Pazó Alex Roxin	1
+ PDF Chat	Eigenvalues of block structured asymmetric random matrices	2015	Johnatan Aljadeff David Renfrew Merav Stern	1
+	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval	2020	Stefano Sarao Mannelli Giulio Biroli Chiara Cammarota Florent Krząkała Pierfrancesco Urbani Lenka Zdeborová	1
+ PDF Chat	Exact neural mass model for synaptic-based working memory	2020	Halgurd Taher Alessandro Torcini Simona Olmi	1
+	A Convex Optimization Approach to Learning Koopman Operators	2021	Mario Sznaier	1
+	Modern Koopman Theory for Dynamical Systems	2022	Steven L. Brunton Marko Budišić Eurika Kaiser J. Nathan Kutz	1
+ PDF Chat	Model Structures and Fitting Criteria for System Identification with Neural Networks	2020	Marco Forgione Dario Piga	1