Stefan Mihalas

46 papers A* 4C 2Misc 5Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation. CoRR Zhixin Lu, Lukasz Kusmierz, Stefan Mihalas
2025	J	`jnl`	Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks. CoRR Yi Xie, Stefan Mihalas, Lukasz Kusmierz
2024	J	`jnl`	Hierarchy of chaotic dynamics in random modular networks. CoRR Lukasz Kusmierz, Ulises Pereira-Obilinovic, Zhixin Lu, Dana Mastrovito, Stefan Mihalas
2024	A*	`conf`	How connectivity structure shapes rich and lazy learning in neural circuits. ICLR Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
2023	J	`jnl`	A biologically inspired architecture with switching units can learn to generalize across backgrounds. Neural Networks Doris Voina, Eric Shea-Brown, Stefan Mihalas
2023	A*	`conf`	Efficient approximation of neural population structure and correlations with probabilistic circuits. ICLR Koosha Khalvati, Samantha Johnson, Stefan Mihalas, Michael A. Buice
2023	A*	`conf`	Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. NeurIPS Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas
2023	J	`jnl`	Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. CoRR Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas
2023	J	`jnl`	Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks. Neural Comput. Chloe N. Winston, Dana Mastrovito, Eric Shea-Brown, Stefan Mihalas
2023	J	`jnl`	How connectivity structure shapes rich and lazy learning in neural circuits. CoRR Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
2022	A*	`conf`	Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. NeurIPS Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
2022	J	`jnl`	Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. CoRR Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
2022	—	`conf`	Geometry of inter-areal interactions in mouse visual cortex. NeurReps Ramakrishnan Iyer, Joshua H. Siegle, Gayathri Mahalingam, Shawn R. Olsen, Stefan Mihalas
2022	J	`jnl`	MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. PLoS Comput. Biol. Jianghong Shi, Bryan P. Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice
2022	J	`jnl`	Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. Neural Comput. Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas
2022	J	`jnl`	The geometry of representational drift in natural and artificial neural networks. PLoS Comput. Biol. Kyle Aitken, Marina E. Garrett, Shawn R. Olsen, Stefan Mihalas
2021	J	`jnl`	Adaptation supports short-term memory in a visual change detection task. PLoS Comput. Biol. Brian Hu, Marina E. Garrett, Peter A. Groblewski, Douglas R. Ollerenshaw, Jiaqi Shang, Kate Roll, Sahar Manavi, Christof Koch, Shawn R. Olsen, Stefan Mihalas
2021	J	`jnl`	Autoencoder networks extract latent variables and encode these variables in their connectomes. Neural Networks Matthew Farrell, Stefano Recanatesi, R. Clay Reid, Stefan Mihalas, Eric Shea-Brown
2020	J	`jnl`	Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Comput. Biol. 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
2020	J	`jnl`	Contextual Integration in Cortical and Convolutional Neural Networks. Frontiers Comput. Neurosci. Ramakrishnan Iyer, Brian Hu, Stefan Mihalas
2019	J	`jnl`	Hierarchical organization of cortical and thalamic connectivity. Nat. 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, Nathalie Gaudreault, Charles R. Gerfen, Nile Graddis, Peter A. Groblewski, Alex M. Henry, Anh Ho, Robert Howard, Joseph E. Knox, Leonard Kuan, Xiuli Kuang, Jérôme A. Lecoq, Phil Lesnar, Yaoyao Li, Jennifer Luviano, Stephen McConoughey, Marty T. Mortrud, Maitham Naeemi, Lydia Ng, Seung-Wook Oh, Benjamin Ouellette, Elise Shen, Staci A. Sorensen, Wayne Wakeman, Quanxin Wang, Yun Wang, Ali Williford, John W. Phillips, Allan R. Jones, Christof Koch, Hongkui Zeng
2019	J	`jnl`	Synchronization dependent on spatial structures of a mesoscopic whole-brain network. PLoS Comput. Biol. Hannah Choi, Stefan Mihalas
2018	J	`jnl`	Convolutional neural networks with extra-classical receptive fields. CoRR Brian Hu, Stefan Mihalas
2018	J	`jnl`	Visual physiology of the layer 4 cortical circuit in silico. PLoS Comput. Biol. 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
2017	J	`jnl`	A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing. Frontiers Comput. Neurosci. Jung H. Lee, Christof Koch, Stefan Mihalas
2016	J	`jnl`	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. Neural Comput. Vijay Mohan K. Namboodiri, Stefan Mihalas, Marshall G. Hussain Shuler
2016	—	`conf`	High resolution neural connectivity from incomplete tracing data using nonnegative spline regression. NIPS Kameron Decker Harris, Stefan Mihalas, Eric Shea-Brown
2016	J	`jnl`	The Computational Properties of a Simplified Cortical Column Model. PLoS Comput. Biol. Nicholas Cain, Ramakrishnan Iyer, Christof Koch, Stefan Mihalas
2013	J	`jnl`	Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons. SIAM J. Appl. Dyn. Syst. Nicolas D. Jimenez, Stefan Mihalas, Richard Brown, Ernst Niebur, Jonathan E. Rubin
2013	—	`conf`	Proto-object based visual saliency model with a motion-sensitive channel. BioCAS Jamal Lottier Molin, Alexander F. Russell, Stefan Mihalas, Ernst Niebur, Ralph Etienne-Cummings
2013	J	`jnl`	The Influence of Synaptic Weight Distribution on Neuronal Population Dynamics. PLoS Comput. Biol. Ramakrishnan Iyer, Vilas Menon, Michael A. Buice, Christof Koch, Stefan Mihalas
2012	Misc	`conf`	A network model of multiplicative attentional modulation. CISS Stefan Mihalas, Rüdiger von der Heydt, Ernst Niebur
2012	Misc	`conf`	Figure-ground classification based on spectral properties of boundary image patches. CISS Sudarshan Ramenahalli, Stefan Mihalas, Ernst Niebur
2012	Misc	`conf`	Medial axis generation in a model of perceptual organization. CISS Diego Ardila, Stefan Mihalas, Rüdiger von der Heydt, Ernst Niebur
2012	J	`jnl`	Parameter Estimation of a Spiking Silicon Neuron. IEEE Trans. Biomed. Circuits Syst. Alexander F. Russell, Kevin Mazurek, Stefan Mihalas, Ernst Niebur, Ralph Etienne-Cummings
2011	J	`jnl`	Estimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike Trains. Neural Comput. Yi Dong, Stefan Mihalas, Alexander F. Russell, Ralph Etienne-Cummings, Ernst Niebur
2011	Misc	`conf`	Event-related simulation of neural processing in complex visual scenes. CISS Stefan Mihalas, Yi Dong, Rüdiger von der Heydt, Ernst Niebur
2011	Misc	`conf`	Extremal edges: Evidence in natural images. CISS Sudarshan Ramenahalli, Stefan Mihalas, Ernst Niebur
2011	J	`jnl`	Improved Integral Equation Solution for the First Passage Time of Leaky Integrate-and-Fire Neurons. Neural Comput. Yi Dong, Stefan Mihalas, Ernst Niebur
2011	—	`conf`	Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons. BICA Paul Biancaniello, David Rosenbluth, Tom Szumowski, John Darvill, Nick Hinnerschitz, John Hummel, Stefan Mihalas
2010	J	`jnl`	A Dynamic Model of Interactions of Ca PLoS Comput. Biol. Shirley Pepke, Tamara Kinzer-Ursem, Stefan Mihalas, Mary B. Kennedy
2010	C	`conf`	A log-domain implementation of the Mihalas-Niebur neuron model. ISCAS André van Schaik, Craig T. Jin, Alistair Lee McEwan, Tara Julia Hamilton, Stefan Mihalas, Ernst Niebur
2010	J	`jnl`	Calcium Messenger Heterogeneity: A Possible Signal for Spike Timing-Dependent Plasticity. Frontiers Comput. Neurosci. Stefan Mihalas
2010	J	`jnl`	Optimization Methods for Spiking Neurons and Networks. IEEE Trans. Neural Networks Alexander F. Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings
2009	J	`jnl`	A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors. Neural Comput. Stefan Mihalas, Ernst Niebur
2009	C	`conf`	A Switched Capacitor Implementation of the Generalized Linear Integrate-and-fire Neuron. ISCAS Fopefolu O. Folowosele, Andre Harrison, Andrew Cassidy, Andreas G. Andreou, Ralph Etienne-Cummings, Stefan Mihalas, Ernst Niebur, Tara Julia Hamilton