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Stefan Mihalas
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Journal Articles
- 2023
- [j24]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): 555-592 (2023) - [j23]Doris Voina
, Eric Shea-Brown, Stefan Mihalas:
A biologically inspired architecture with switching units can learn to generalize across backgrounds. Neural Networks 168: 615-630 (2023) - 2022
- [j22]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): 541-594 (2022) - [j21]Jianghong Shi
, Bryan P. 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): 1010427 (2022) - [j20]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): 1010716 (2022) - 2021
- [j19]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: 330-343 (2021) - [j18]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) - 2020
- [j17]Ramakrishnan Iyer
, Brian Hu
, Stefan Mihalas:
Contextual Integration in Cortical and Convolutional Neural Networks. Frontiers Comput. Neurosci. 14: 31 (2020) - [j16]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) - 2019
- [j15]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): 195-202 (2019) - [j14]Hannah Choi
, Stefan Mihalas:
Synchronization dependent on spatial structures of a mesoscopic whole-brain network. PLoS Comput. Biol. 15(4) (2019) - 2018
- [j13]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) - 2017
- [j12]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: 28 (2017) - 2016
- [j11]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): 89-117 (2016) - [j10]Nicholas Cain
, Ramakrishnan Iyer
, Christof Koch
, Stefan Mihalas:
The Computational Properties of a Simplified Cortical Column Model. PLoS Comput. Biol. 12(9) (2016) - 2013
- [j9]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) - [j8]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): 1474-1514 (2013) - 2012
- [j7]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): 133-141 (2012) - 2011
- [j6]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): 421-434 (2011) - [j5]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): 2833-2867 (2011) - 2010
- [j4]Stefan Mihalas:
Calcium Messenger Heterogeneity: A Possible Signal for Spike Timing-Dependent Plasticity. Frontiers Comput. Neurosci. 4: 158 (2010) - [j3]Shirley Pepke, Tamara Kinzer-Ursem, Stefan Mihalas, Mary B. Kennedy:
A Dynamic Model of Interactions of Ca2+, Calmodulin, and Catalytic Subunits of Ca2+/Calmodulin-Dependent Protein Kinase II. PLoS Comput. Biol. 6(2) (2010) - [j2]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): 1950-1962 (2010) - 2009
- [j1]Stefan Mihalas, Ernst Niebur:
A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors. Neural Comput. 21(3): 704-718 (2009)
Conference and Workshop Papers
- 2024
- [c15]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 - 2023
- [c14]Koosha Khalvati, Samantha Johnson, Stefan Mihalas, Michael A. Buice:
Efficient approximation of neural population structure and correlations with probabilistic circuits. ICLR 2023 - [c13]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 - 2022
- [c12]Ramakrishnan Iyer, Joshua H. Siegle, Gayathri Mahalingam, Shawn R. Olsen, Stefan Mihalas:
Geometry of inter-areal interactions in mouse visual cortex. NeurReps 2022: 327-353 - [c11]Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül:
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. NeurIPS 2022 - 2016
- [c10]Kameron Decker Harris, Stefan Mihalas, Eric Shea-Brown:
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression. NIPS 2016: 3099-3107 - 2013
- [c9]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: 25-28 - 2012
- [c8]Diego Ardila, Stefan Mihalas, Rüdiger von der Heydt
, Ernst Niebur:
Medial axis generation in a model of perceptual organization. CISS 2012: 1-4 - [c7]Stefan Mihalas, Rüdiger von der Heydt
, Ernst Niebur:
A network model of multiplicative attentional modulation. CISS 2012: 1-4 - [c6]Sudarshan Ramenahalli, Stefan Mihalas, Ernst Niebur:
Figure-ground classification based on spectral properties of boundary image patches. CISS 2012: 1-4 - 2011
- [c5]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: 38-43 - [c4]Stefan Mihalas, Yi Dong
, Rüdiger von der Heydt
, Ernst Niebur:
Event-related simulation of neural processing in complex visual scenes. CISS 2011: 1-6 - [c3]Sudarshan Ramenahalli, Stefan Mihalas, Ernst Niebur:
Extremal edges: Evidence in natural images. CISS 2011: 1-5 - 2010
- [c2]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: 4249-4252 - 2009
- [c1]Fopefolu O. Folowosele, Andre V. 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: 2149-2152
Informal and Other Publications
- 2023
- [i4]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 abs/2307.10515 (2023) - [i3]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 abs/2310.08513 (2023) - 2022
- [i2]Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül:
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. CoRR abs/2206.01338 (2022) - 2018
- [i1]Brian Hu, Stefan Mihalas:
Convolutional neural networks with extra-classical receptive fields. CoRR abs/1810.11594 (2018)
Coauthor Index
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