Matthew A. Smith

Orcid: 0000-0003-1192-9942

Affiliations:
  • Carnegie Mellon University, Center for Neural Basis of Cognition, Pittsburgh, PA, USA
  • University of Pittsburgh, Department of Ophthalmology, Pittsburgh, PA, USA


According to our database1, Matthew A. Smith authored at least 15 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Automated customization of large-scale spiking network models to neuronal population activity.
Nat. Comput. Sci., September, 2024

2020
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018
Adjusted regularization of cortical covariance.
J. Comput. Neurosci., 2018

2017
Adaptive stimulus selection for optimizing neural population responses.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distance Covariance Analysis.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models.
PLoS Comput. Biol., 2016

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex.
PLoS Comput. Biol., 2016

Separating Spike Count Correlation from Firing Rate Correlation.
Neural Comput., 2016

2015
Establishing a Statistical Link between Network Oscillations and Neural Synchrony.
PLoS Comput. Biol., 2015

2014
Fast and Improved SLEX Analysis of High-Dimensional Time Series.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013
Variance in population firing rate as a measure of slow time-scale correlation.
Frontiers Comput. Neurosci., 2013

2011
Glass patterns.
Scholarpedia, 2011

2010
Local field potentials indicate network state and account for neuronal response variability.
J. Comput. Neurosci., 2010

Accounting for network effects in neuronal responses using L1 regularized point process models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2007
How do stimulus-dependent correlations between V1 neurons affect neural coding?
Neurocomputing, 2007


  Loading...