Gabriel A. Silva

According to our database, Gabriel A. Silva authored at least 20 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Quantifying Emergence in Neural Networks: Insights from Pruning and Training Dynamics.

Faisal AlShinaifi, Zeyad Almoaigel, Johnny Jingze Li, Abdulla Kuleib, Gabriel A. Silva

CoRR, 2024

Advancing Neural Network Performance through Emergence-Promoting Initialization Scheme.

Johnny Jingze Li, Vivek Kurien George, Gabriel A. Silva

CoRR, 2024

Using Quantum Computing to Infer Dynamic Behaviors of Biological and Artificial Neural Networks.

Gabriel A. Silva

CoRR, 2024

2023

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror.

Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White, Carey E. Priebe

Appl. Netw. Sci., December, 2023

2022

Prospective Learning: Back to the Future.

Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang

CoRR, 2022

2021

Generalizable Machine Learning in Neuroscience Using Graph Neural Networks.

Paul Y. Wang, Sandalika Sapra, Vivek Kurien George, Gabriel A. Silva

Frontiers Artif. Intell., 2021

Information entropy re-defined in a category theory context using preradicals.

Sebastian Pardo G., Gabriel A. Silva

CoRR, 2021

Learning without gradient descent encoded by the dynamics of a neurobiological model.

Vivek Kurien George, Vikash Morar, Weiwei Yang, Jonathan Larson, Bryan Tower, Shweti Mahajan, Arkin Gupta, Christopher M. White, Gabriel A. Silva

CoRR, 2021

2020

Stability and Complexity Analyses of Finite Difference Algorithms for the Time-Fractional Diffusion Equation.

Nirupama Bhattacharya, Gabriel A. Silva

CoRR, 2020

2019

The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks.

Gabriel A. Silva

Neural Comput., 2019

2015

Efficient computation of the Grünwald-Letnikov fractional diffusion derivative using adaptive time step memory.

Christopher L. MacDonald, Nirupama Bhattacharya, Brian P. Sprouse, Gabriel A. Silva

J. Comput. Phys., 2015

Bidirectional neural interface: Closed-loop feedback control for hybrid neural systems.

Zane Chou, Jeffrey Lim, Sophie Brown, Melissa Keller, Joseph Bugbee, Frederic D. Broccard, Massoud L. Khraiche, Gabriel A. Silva, Gert Cauwenberghs

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013

Visual evoked potential characterization of rabbit animal model for retinal prosthesis research.

Massoud L. Khraiche, Sharif El Emam, Abraham Akinin, Gert Cauwenberghs, William Freeman, Gabriel A. Silva

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Direct inductive stimulation for energy-efficient wireless neural interfaces.

Sohmyung Ha, Massoud L. Khraiche, Gabriel A. Silva, Gert Cauwenberghs

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

A Framework for Simulating and Estimating the State and Functional Topology of Complex Dynamic Geometric Networks.

Marius Buibas, Gabriel A. Silva

Neural Comput., 2011

The Need for the Emergence of Mathematical Neuroscience: Beyond Computation and Simulation.

Gabriel A. Silva

Frontiers Comput. Neurosci., 2011

Ultra-high photosensitivity silicon nanophotonics for retinal prosthesis: Electrical characteristics.

Massoud L. Khraiche, Yuhwa Lo, Deli Wang, Gert Cauwenberghs, William Freeman, Gabriel A. Silva

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Computational efficiency of fractional diffusion using adaptive time step memory

Brian P. Sprouse, Christopher L. MacDonald, Gabriel A. Silva

CoRR, 2010

2009

Mapping the spatiotemporal dynamics of calcium signaling in cellular neural networks using optical flow

Marius Buibas, Diana Yu, Krystal Nizar, Gabriel A. Silva

CoRR, 2009

2004

Step response of mouse rod photoreceptors modeled in terms of elemental photic signals.

Gabriel A. Silva, David R. Pepperberg

IEEE Trans. Biomed. Eng., 2004