R. A. Rosenbaum

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	2024	Vicky Zhu R. A. Rosenbaum
+ PDF Chat	Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks	2022	Vicky Zhu R. A. Rosenbaum
+	Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks	2022	Vicky Zhu R. A. Rosenbaum
+	Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways	2022	Navid Shervani-Tabar R. A. Rosenbaum
+	Synaptic Plasticity in Correlated Balanced Networks	2020	Alan Eric Akil R. A. Rosenbaum Krešimir Josić́
+	From the statistics of connectivity to the statistics of spike times in neuronal networks	2017	Gabriel Koch Ocker Yu Hu Michael A. Buice Brent Doiron Krešimir Josić́ R. A. Rosenbaum Eric Shea‐Brown
+	The impact of short term synaptic depression and stochastic vesicle dynamics on neural variability	2012	Steven D. Reich R. A. Rosenbaum
+	Finite volume and asymptotic methods for stochastic neuron models with correlated inputs	2010	R. A. Rosenbaum MA Jian-fu Fabien Marpeau Aditya Barua Krešimir Josić́
+	Trigonometric functions	1984	R. A. Rosenbaum G. P. Johnson
+	Logarithmic functions	1984	R. A. Rosenbaum G. P. Johnson
+	Differential equations	1984	R. A. Rosenbaum G. P. Johnson
+	Exponential functions	1984	R. A. Rosenbaum G. P. Johnson
+	Is Euclid on the Skids?	1974	R. A. Rosenbaum
+	Reader's Comments on Some Papers in this Monthly	1970	R. A. Rosenbaum
+	Introduction to Projective Geometry and Modern Algebra	1963	R. A. Rosenbaum
+	The Program of Visiting Lecturers of the M.A.A.	1962	R. A. Rosenbaum
+	A Functional Equation Characterising the Sine	1960	R. A. Rosenbaum S. L. Segal
+	Some Simple Examples of Groups	1959	R. A. Rosenbaum
+	Sweet are the uses of generality	1958	R. A. Rosenbaum
+	Calculus and Analytic Geometry.	1951	R. A. Rosenbaum C. T. Holmes
+	Sub-additive functions	1950	R. A. Rosenbaum
+ PDF Chat	Some consequences of a well known theorem on conics	1949	R. A. Rosenbaum J. T. Rosenbaum
+	1690. Sections of a cinular cylinder	1943	R. A. Rosenbaum

Common Coauthors

Coauthor	Papers Together
Vicky Zhu	3
G. P. Johnson	3
Krešimir Josić́	3
J. T. Rosenbaum	1
G. P. Johnson	1
Fabien Marpeau	1
S. L. Segal	1
Aditya Barua	1
Eric Shea‐Brown	1
C. T. Holmes	1
Navid Shervani-Tabar	1
Michael A. Buice	1
Yu Hu	1
MA Jian-fu	1
Gabriel Koch Ocker	1
Steven D. Reich	1
Brent Doiron	1
Alan Eric Akil	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Training recurrent networks online without backtracking	2015	Yann Ollivier Guillaume Charpiat	1
+	Principles of Geometry	2009	H. F. Baker	1
+ PDF Chat	Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates	1999	Nicolas Brunel Vincent Hakim	1
+ PDF Chat	Recurrent Network Models of Sequence Generation and Memory	2016	Kanaka Rajan Christopher D. Harvey David W. Tank	1
+ PDF Chat	Highly connected neurons spike less frequently in balanced networks	2016	Ryan Pyle Robert Rosenbaum	1
+ PDF Chat	Spatiotemporal Dynamics and Reliable Computations in Recurrent Spiking Neural Networks	2017	Ryan Pyle Robert Rosenbaum	1
+ PDF Chat	full-FORCE: A target-based method for training recurrent networks	2018	Brian DePasquale Christopher J. Cueva Kanaka Rajan G. Sean Escola L. F. Abbott	1
+	An Introduction to Plane Geometry	1943		1
+	Trigonometry Retold: (An Expository Article)	1958	Sunil Kumar Parameswaran	1
+ PDF Chat	Fixed Points of Competitive Threshold-Linear Networks	2018	Carina Curto Jesse Geneson Katherine Morrison	1
+ PDF Chat	On the choice of metric in gradient-based theories of brain function	2020	Simone Carlo Surace Jean-Pascal Pfister Wulfram Gerstner Johanni Brea	1
+ PDF Chat	Artificial Neural Networks for Neuroscientists: A Primer	2020	Guangyu Robert Yang Xiao‐Jing Wang	1
+ PDF Chat	Self-Organization Toward Criticality by Synaptic Plasticity	2021	Roxana Zeraati Viola Priesemann Anna Levina	1
+ PDF Chat	Balanced Networks of Spiking Neurons with Spatially Dependent Recurrent Connections	2014	Robert Rosenbaum Brent Doiron	1
+ PDF Chat	Control of criticality and computation in spiking neuromorphic networks with plasticity	2020	Benjamin Cramer David Stöckel Markus Kreft Michael Wibral Johannes Schemmel Karlheinz Meier Viola Priesemann	1
+	Natural-gradient learning for spiking neurons	2022	Elena Kreutzer Walter Senn Mihai A. Petrovici	1
+	Universal scaling laws in the gradient descent training of neural networks	2021	Maksim Velikanov Dmitry Yarotsky	1
+ PDF Chat	Optimal Input Representation in Neural Systems at the Edge of Chaos	2021	Guillermo B. Morales Miguel A. Muñoz	1
+ PDF Chat	What is the dynamical regime of cerebral cortex?	2021	Yashar Ahmadian Kenneth D. Miller	1
+ PDF Chat	A random energy approach to deep learning	2022	Rongrong Xie Matteo Marsili	1
+	Circular Law	1985	Vyacheslav L. Girko	1
+	Explaining Neural Scaling Laws	2021	Yasaman Bahri Ethan Dyer Jared Kaplan Jaehoon Lee Utkarsh Sharma	1
+	The Implicit Bias of Gradient Descent on Separable Data	2017	Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro	1
+	Synaptic Weight Distributions Depend on the Geometry of Plasticity	2023	Roman Pogodin Jonathan Cornford Arna Ghosh Gauthier Gidel Guillaume Lajoie Blake A. Richards	1