Michael A. Buice

According to our database, Michael A. Buice authored at least 16 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Modeling functional cell types in spike train data.

Daniel N. Zdeblick, Eric Shea-Brown, Daniela M. Witten, Michael A. Buice

PLoS Comput. Biol., October, 2023

Efficient approximation of neural population structure and correlations with probabilistic circuits.

Koosha Khalvati, Samantha Johnson, Stefan Mihalas, Michael A. Buice

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex.

Jianghong Shi, Bryan P. Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice

PLoS Comput. Biol., September, 2022

Learning dynamics of deep linear networks with multiple pathways.

Jianghong Shi, Eric Shea-Brown, Michael A. Buice

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity.

Gabriel Koch Ocker, Michael A. Buice

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex.

Colin Conwell, David Mayo, Andrei Barbu, Michael A. Buice, George Alvarez, Boris Katz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Flexible neural connectivity under constraints on total connection strength.

Gabriel Koch Ocker, Michael A. Buice

PLoS Comput. Biol., 2020

2019

Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.

Stefano Recanatesi, Gabriel Koch Ocker, Michael A. Buice, Eric Shea-Brown

PLoS Comput. Biol., 2019

Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex.

Jianghong Shi, Eric Shea-Brown, Michael A. Buice

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Predicting how and when hidden neurons skew measured synaptic interactions.

Braden A. W. Brinkman, Fred Rieke, Eric Shea-Brown, Michael A. Buice

PLoS Comput. Biol., 2018

Visual physiology of the layer 4 cortical circuit in silico.

Anton Arkhipov, Nathan W. Gouwens, Yazan N. Billeh, Sergey L. Gratiy, Ramakrishnan Iyer, Ziqiang Wei, Zihao Xu, Reza Abbasi-Asl, Jim Berg, Michael A. Buice, Nicholas Cain, Nuno daCosta, Saskia C. J. De Vries, Daniel Denman, Severine Durand, David Feng, Tim Jarsky, Jérôme A. Lecoq, Brian Lee, Lu Li, Stefan Mihalas, Gabriel Koch Ocker, Shawn R. Olsen, R. Clay Reid, Gilberto Soler-Llavina, Staci A. Sorensen, Quanxin Wang, Jack Waters, Massimo Scanziani, Christof Koch

PLoS Comput. Biol., 2018

2017

Linking structure and activity in nonlinear spiking networks.

Gabriel Koch Ocker, Kresimir Josic, Eric Shea-Brown, Michael A. Buice

PLoS Comput. Biol., 2017

2013

The Influence of Synaptic Weight Distribution on Neuronal Population Dynamics.

Ramakrishnan Iyer, Vilas Menon, Michael A. Buice, Christof Koch, Stefan Mihalas

PLoS Comput. Biol., 2013

Dynamic Finite Size Effects in Spiking Neural Networks.

Michael A. Buice, Carson C. Chow

PLoS Comput. Biol., 2013

Generalized activity equations for spiking neural network dynamics.

Michael A. Buice, Carson C. Chow

Frontiers Comput. Neurosci., 2013

2010

Systematic Fluctuation Expansion for Neural Network Activity Equations.

Michael A. Buice, Jack D. Cowan, Carson C. Chow

Neural Comput., 2010