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ORCIDStefan Mihalas
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2020 – today
- 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
- [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) - [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 - [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
- [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) - [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 - [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) - 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)
2010 – 2019
- 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) - [i1]Brian Hu, Stefan Mihalas:
Convolutional neural networks with extra-classical receptive fields. CoRR abs/1810.11594 (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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
2000 – 2009
- 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) - [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
Coauthor Index
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last updated on 2024-08-08 20:13 CEST by the dblp team
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