97 citations · 135 across the 14 of their papers we have counts for
14 papers
Data-Based Dynamical Systems Reconstruction: An Adequacy/Reliability Test
Guillermo Capobianco, Ulises Chialva, Horacio G. Rotstein
In this work, we address the problem of validating the reconstruction of a stochastic system from noisy data. We demonstrate the limitations of criteria based solely on the loss fu…
The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions
Gal Haspel, Ben Baker, Isabel Beets +34
Just like electrical engineers understand how microprocessors execute programs in terms of how transistor currents are affected by their inputs, neuroscientists want to understand…
Development of theoretical frameworks in neuroscience: a pressing need in a sea of data
Horacio G. Rotstein, Fidel Santamaria
Neuroscience is undergoing dramatic progress because of the vast data streams derived from the new technologies product of the BRAIN initiative and other enterprises. As any other…
Low-dimensional models of single neurons: A review
Ulises Chialva, Vicente González Boscá, Horacio G. Rotstein
The classical Hodgkin-Huxley (HH) point-neuron model of action potential generation is four-dimensional. It consists of four ordinary differential equations describing the dynamics…
Present and future frameworks of theoretical neuroscience: outcomes of a community discussion
Horacio G. Rotstein, Fidel Santamaria
We organized a workshop on the "Present and Future Frameworks of Theoretical Neuroscience", with the support of the National Science Foundation. The objective was to identify the c…
On the role of theory and modeling in neuroscience
Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham +17
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth…