Systematic Fluctuation Expansion for Neural Network Activity Equations. - Michael A. Buice; Jack D. Cowan; Carson C. Chow (Neural Comput., 2010)

Generalized activity equations for spiking neural network dynamics. - Michael A. Buice; Carson C. Chow (Frontiers Comput. Neurosci., 2013)

Dynamic Finite Size Effects in Spiking Neural Networks. - Michael A. Buice; Carson C. Chow (PLoS Comput. Biol., 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)

Linking structure and activity in nonlinear spiking networks. - Gabriel Koch Ocker; Kresimir Josic; Eric Shea-Brown; Michael A. Buice (PLoS Comput. Biol., 2017)

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; et al. (PLoS Comput. Biol., 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)

Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex. - Jianghong Shi; Eric Shea-Brown; Michael A. Buice (NeurIPS, 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)

Flexible neural connectivity under constraints on total connection strength. - Gabriel Koch Ocker; Michael A. Buice (PLoS Comput. Biol., 2020)

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 (NeurIPS, 2021)

Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity. - Gabriel Koch Ocker; Michael A. Buice (NeurIPS, 2021)

Learning dynamics of deep linear networks with multiple pathways. - Jianghong Shi; Eric Shea-Brown; Michael A. Buice (NeurIPS, 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., 2022)

Efficient approximation of neural population structure and correlations with probabilistic circuits. - Koosha Khalvati; Samantha Johnson; Stefan Mihalas; Michael A. Buice (ICLR, 2023)

Modeling functional cell types in spike train data. - Daniel N. Zdeblick; Eric Shea-Brown; Daniela M. Witten; Michael A. Buice (PLoS Comput. Biol., 2023)

A Unifying Normative Framework of Decision Confidence. - Amelia Johnson; Michael A. Buice; Koosha Khalvati (NeurIPS, 2024)