Stefan Mihalas

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Biologically Inspired

Bias Correction

Top Venues

PLoS Comput. Biol.

Frontiers Comput. Neurosci.

Publications

Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
How connectivity structure shapes rich and lazy learning in neural circuits. ICLR (2024)
Doris Voina, Eric Shea-Brown, Stefan Mihalas
A biologically inspired architecture with switching units can learn to generalize across backgrounds. Neural Networks 168 (2023)
Chloe N. Winston, Dana Mastrovito, Eric Shea-Brown, Stefan Mihalas
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks. Neural Comput. 35 (4) (2023)
Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. CoRR (2023)
Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
How connectivity structure shapes rich and lazy learning in neural circuits. CoRR (2023)
Koosha Khalvati, Samantha Johnson, Stefan Mihalas, Michael A. Buice
Efficient approximation of neural population structure and correlations with probabilistic circuits. ICLR (2023)
Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. NeurIPS (2023)
Kyle Aitken, Marina E. Garrett, Shawn R. Olsen, Stefan Mihalas
The geometry of representational drift in natural and artificial neural networks. PLoS Comput. Biol. 18 (11) (2022)
Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. CoRR (2022)
Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. Neural Comput. 34 (3) (2022)
Jianghong Shi, Bryan Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. PLoS Comput. Biol. 18 (9) (2022)
Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. NeurIPS (2022)
Ramakrishnan Iyer, Joshua H. Siegle, Gayathri Mahalingam, Shawn R. Olsen, Stefan Mihalas
Geometry of inter-areal interactions in mouse visual cortex. NeurReps (2022)
Matthew Farrell, Stefano Recanatesi, R. Clay Reid, Stefan Mihalas, Eric Shea-Brown
Autoencoder networks extract latent variables and encode these variables in their connectomes. Neural Networks 141 (2021)
Brian Hu, Marina E. Garrett, Peter A. Groblewski, Douglas R. Ollerenshaw, Jiaqi Shang, Kate Roll, Sahar Manavi, Christof Koch, Shawn R. Olsen, Stefan Mihalas
Adaptation supports short-term memory in a visual change detection task. PLoS Comput. Biol. 17 (9) (2021)
Ramakrishnan Iyer, Brian Hu, Stefan Mihalas
Contextual Integration in Cortical and Convolutional Neural Networks. Frontiers Comput. Neurosci. 14 (2020)
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
Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Comput. Biol. 16 (11) (2020)
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
Hierarchical organization of cortical and thalamic connectivity. Nat. 575 (7781) (2019)
Hannah Choi, Stefan Mihalas
Synchronization dependent on spatial structures of a mesoscopic whole-brain network. PLoS Comput. Biol. 15 (4) (2019)
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
Visual physiology of the layer 4 cortical circuit in silico. PLoS Comput. Biol. 14 (11) (2018)
Brian Hu, Stefan Mihalas
Convolutional neural networks with extra-classical receptive fields. CoRR (2018)
Jung H. Lee, Christof Koch, Stefan Mihalas
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing. Frontiers Comput. Neurosci. 11 (2017)
Vijay Mohan K. Namboodiri, Stefan Mihalas, Marshall G. Hussain Shuler
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. 28 (1) (2016)
Nicholas Cain, Ramakrishnan Iyer, Christof Koch, Stefan Mihalas
The Computational Properties of a Simplified Cortical Column Model. PLoS Comput. Biol. 12 (9) (2016)
Kameron Decker Harris, Stefan Mihalas, Eric Shea-Brown
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression. NIPS (2016)
Ramakrishnan Iyer, Vilas Menon, Michael A. Buice, Christof Koch, Stefan Mihalas
The Influence of Synaptic Weight Distribution on Neuronal Population Dynamics. PLoS Comput. Biol. 9 (10) (2013)
Nicolas D. Jimenez, Stefan Mihalas, Richard Brown, Ernst Niebur, Jonathan E. Rubin
Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons. SIAM J. Appl. Dyn. Syst. 12 (3) (2013)
Jamal Lottier Molin, Alexander F. Russell, Stefan Mihalas, Ernst Niebur, Ralph Etienne-Cummings
Proto-object based visual saliency model with a motion-sensitive channel. BioCAS (2013)
Diego Ardila, Stefan Mihalas, Rüdiger von der Heydt, Ernst Niebur
Medial axis generation in a model of perceptual organization. CISS (2012)
Alexander F. Russell, Kevin Mazurek, Stefan Mihalas, Ernst Niebur, Ralph Etienne-Cummings
Parameter Estimation of a Spiking Silicon Neuron. IEEE Trans. Biomed. Circuits Syst. 6 (2) (2012)
Sudarshan Ramenahalli, Stefan Mihalas, Ernst Niebur
Figure-ground classification based on spectral properties of boundary image patches. CISS (2012)
Stefan Mihalas, Rüdiger von der Heydt, Ernst Niebur
A network model of multiplicative attentional modulation. CISS (2012)
Sudarshan Ramenahalli, Stefan Mihalas, Ernst Niebur
Extremal edges: Evidence in natural images. CISS (2011)
Paul Biancaniello, David Rosenbluth, Tom Szumowski, John Darvill, Nick Hinnerschitz, John Hummel, Stefan Mihalas
Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons. BICA (2011)
Yi Dong, Stefan Mihalas, Alexander F. Russell, Ralph Etienne-Cummings, Ernst Niebur
Estimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike Trains. Neural Comput. 23 (11) (2011)
Stefan Mihalas, Yi Dong, Rüdiger von der Heydt, Ernst Niebur
Event-related simulation of neural processing in complex visual scenes. CISS (2011)
Yi Dong, Stefan Mihalas, Ernst Niebur
Improved Integral Equation Solution for the First Passage Time of Leaky Integrate-and-Fire Neurons. Neural Comput. 23 (2) (2011)
André van Schaik, Craig T. Jin, Alistair Lee McEwan, Tara Julia Hamilton, Stefan Mihalas, Ernst Niebur
A log-domain implementation of the Mihalas-Niebur neuron model. ISCAS (2010)
Stefan Mihalas
Calcium Messenger Heterogeneity: A Possible Signal for Spike Timing-Dependent Plasticity. Frontiers Comput. Neurosci. 4 (2010)
Alexander F. Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings
Optimization Methods for Spiking Neurons and Networks. IEEE Trans. Neural Networks 21 (12) (2010)
Shirley Pepke, Tamara Kinzer-Ursem, Stefan Mihalas, Mary B. Kennedy
/Calmodulin-Dependent Protein Kinase II. PLoS Comput. Biol. 6 (2) (2010)
Stefan Mihalas, Ernst Niebur
A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors. Neural Comput. 21 (3) (2009)
Fopefolu O. Folowosele, Andre Harrison, Andrew Cassidy, Andreas G. Andreou, Ralph Etienne-Cummings, Stefan Mihalas, Ernst Niebur, Tara Julia Hamilton
A Switched Capacitor Implementation of the Generalized Linear Integrate-and-fire Neuron. ISCAS (2009)