A Switched Capacitor Implementation of the Generalized Linear Integrate-and-fire Neuron. - Fopefolu O. Folowosele; Andre V. Harrison; Andrew Cassidy; Andreas G. Andreou; Ralph Etienne-Cummings; Stefan Mihalas; Ernst Niebur; Tara Julia Hamilton (ISCAS, 2009)

A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors. - Stefan Mihalas; Ernst Niebur (Neural Comput., 2009)

A log-domain implementation of the Mihalas-Niebur neuron model. - André van Schaik; Craig T. Jin; Alistair Lee McEwan; Tara Julia Hamilton; Stefan Mihalas; Ernst Niebur (ISCAS, 2010)

Calcium Messenger Heterogeneity: A Possible Signal for Spike Timing-Dependent Plasticity. - Stefan Mihalas (Frontiers Comput. Neurosci., 2010)

A Dynamic Model of Interactions of Ca2+, Calmodulin, and Catalytic Subunits of Ca2+/Calmodulin-Dependent Protein Kinase II. - Shirley Pepke; Tamara Kinzer-Ursem; Stefan Mihalas; Mary B. Kennedy (PLoS Comput. Biol., 2010)

Optimization Methods for Spiking Neurons and Networks. - Alexander F. Russell; Garrick Orchard; Yi Dong; Stefan Mihalas; Ernst Niebur; Jonathan Tapson; Ralph Etienne-Cummings (IEEE Trans. Neural Networks, 2010)

Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons. - Paul Biancaniello; David Rosenbluth; Tom Szumowski; John Darvill; Nick Hinnerschitz; John Hummel; Stefan Mihalas (BICA, 2011)

Event-related simulation of neural processing in complex visual scenes. - Stefan Mihalas; Yi Dong; Rüdiger von der Heydt; Ernst Niebur (CISS, 2011)

Extremal edges: Evidence in natural images. - Sudarshan Ramenahalli; Stefan Mihalas; Ernst Niebur (CISS, 2011)

Improved Integral Equation Solution for the First Passage Time of Leaky Integrate-and-Fire Neurons. - Yi Dong; Stefan Mihalas; Ernst Niebur (Neural Comput., 2011)

Estimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike Trains. - Yi Dong; Stefan Mihalas; Alexander F. Russell; Ralph Etienne-Cummings; Ernst Niebur (Neural Comput., 2011)

Medial axis generation in a model of perceptual organization. - Diego Ardila; Stefan Mihalas; Rüdiger von der Heydt; Ernst Niebur (CISS, 2012)

A network model of multiplicative attentional modulation. - Stefan Mihalas; Rüdiger von der Heydt; Ernst Niebur (CISS, 2012)

Figure-ground classification based on spectral properties of boundary image patches. - Sudarshan Ramenahalli; Stefan Mihalas; Ernst Niebur (CISS, 2012)

Parameter Estimation of a Spiking Silicon Neuron. - Alexander F. Russell; Kevin Mazurek; Stefan Mihalas; Ernst Niebur; Ralph Etienne-Cummings (IEEE Trans. Biomed. Circuits Syst., 2012)

Proto-object based visual saliency model with a motion-sensitive channel. - Jamal Lottier Molin; Alexander F. Russell; Stefan Mihalas; Ernst Niebur; Ralph Etienne-Cummings (BioCAS, 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)

Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons. - Nicolas D. Jimenez; Stefan Mihalas; Richard Brown; Ernst Niebur; Jonathan E. Rubin (SIAM J. Appl. Dyn. Syst., 2013)

High resolution neural connectivity from incomplete tracing data using nonnegative spline regression. - Kameron Decker Harris; Stefan Mihalas; Eric Shea-Brown (NIPS, 2016)

Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law. - Vijay Mohan K. Namboodiri; Stefan Mihalas; Marshall G. Hussain Shuler (Neural Comput., 2016)

The Computational Properties of a Simplified Cortical Column Model. - Nicholas Cain; Ramakrishnan Iyer; Christof Koch; Stefan Mihalas (PLoS Comput. Biol., 2016)

A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing. - Jung H. Lee; Christof Koch; Stefan Mihalas (Frontiers Comput. Neurosci., 2017)

Convolutional neural networks with extra-classical receptive fields. - Brian Hu 001; Stefan Mihalas (CoRR, 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; et al. (PLoS Comput. Biol., 2018)

Hierarchical organization of cortical and thalamic connectivity. - Julie A. Harris; Stefan Mihalas; Karla E. Hirokawa; Jennifer D. Whitesell; Hannah Choi; Amy Bernard; Phillip Bohn; Shiella Caldejon; Linzy Casal; Andrew Cho; Aaron Feiner; David Feng 001; et al. (Nat., 2019)

Synchronization dependent on spatial structures of a mesoscopic whole-brain network. - Hannah Choi; Stefan Mihalas (PLoS Comput. Biol., 2019)

Contextual Integration in Cortical and Convolutional Neural Networks. - Ramakrishnan Iyer; Brian Hu 001; Stefan Mihalas (Frontiers Comput. Neurosci., 2020)

Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. - Kael Dai; Sergey L. Gratiy; Yazan N. Billeh; Richard Xu; Binghuang Cai; Nicholas Cain; Atle E. Rimehaug; Alexander J. Stasik; Gaute T. Einevoll; Stefan Mihalas; Christof Koch; Anton Arkhipov (PLoS Comput. Biol., 2020)

Autoencoder networks extract latent variables and encode these variables in their connectomes. - Matthew Farrell; Stefano Recanatesi; R. Clay Reid; Stefan Mihalas; Eric Shea-Brown (Neural Networks, 2021)

Adaptation supports short-term memory in a visual change detection task. - Brian Hu 001; Marina E. Garrett; Peter A. Groblewski; Douglas R. Ollerenshaw; Jiaqi Shang; Kate Roll; Sahar Manavi; Christof Koch; Shawn R. Olsen; Stefan Mihalas (PLoS Comput. Biol., 2021)

Geometry of inter-areal interactions in mouse visual cortex. - Ramakrishnan Iyer; Joshua H. Siegle; Gayathri Mahalingam; Shawn R. Olsen; Stefan Mihalas (NeurReps, 2022)

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. - Yuhan Helena Liu; Stephen Smith; Stefan Mihalas; Eric Shea-Brown; Uygar Sümbül (NeurIPS, 2022)

Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. - Doris Voina; Stefano Recanatesi; Brian Hu 001; Eric Shea-Brown; Stefan Mihalas (Neural Comput., 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)

The geometry of representational drift in natural and artificial neural networks. - Kyle Aitken; Marina E. Garrett; Shawn R. Olsen; Stefan Mihalas (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)

Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. - Praveen Venkatesh; Corbett Bennett; Sam Gale; Tamina K. Ramirez; Greggory Heller; Severine Durand; Shawn R. Olsen; Stefan Mihalas (NeurIPS, 2023)

Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks. - Chloe N. Winston; Dana Mastrovito; Eric Shea-Brown; Stefan Mihalas (Neural Comput., 2023)

A biologically inspired architecture with switching units can learn to generalize across backgrounds. - Doris Voina; Eric Shea-Brown; Stefan Mihalas (Neural Networks, 2023)

How connectivity structure shapes rich and lazy learning in neural circuits. - Yuhan Helena Liu; Aristide Baratin; Jonathan Cornford; Stefan Mihalas; Eric Shea-Brown; Guillaume Lajoie (ICLR, 2024)

Hierarchy of chaotic dynamics in random modular networks. - Lukasz Kusmierz; Ulises Pereira-Obilinovic; Zhixin Lu; Dana Mastrovito; Stefan Mihalas (CoRR, 2024)

A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation. - Zhixin Lu; Lukasz Kusmierz; Stefan Mihalas (CoRR, 2025)

Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks. - Yi Xie; Stefan Mihalas; Lukasz Kusmierz (CoRR, 2025)