Sotabase

Career

· Assistant Professor, UC Berkeley2007–2013
· Associate Professor, UC Berkeley2007–

Publications (91)

Sparse Representation of Sounds in the Unanesthetized Auditory Cortex
PLoS Biology · 2008
600
cited
Efficient Discrimination of Temporal Patterns by Motion-Sensitive Neurons in Primate Visual Cortex
Neuron · 1998
417
cited
Binary Spiking in Auditory Cortex
Journal of Neuroscience · 2003
380
cited
A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields
PLoS Comput. Biol. · 2011
214
cited
Non-Gaussian Membrane Potential Dynamics Imply Sparse, Synchronous Activity in Auditory Cortex
Journal of Neuroscience · 2006
160
cited
Inhibitory Interneurons Decorrelate Excitatory Cells to Drive Sparse Code Formation in a Spiking Model of V1
Journal of Neuroscience · 2013
147
cited
Design of optical neural networks with component imprecisions
Optics Express · 2019
144
cited
Entropy Production and Fluctuation Theorems for Active Matter.
Physical Review Letters · 2017
131
cited
Neural Correlates of Task Switching in Prefrontal Cortex and Primary Auditory Cortex in a Novel Stimulus Selection Task for Rodents
Neuron · 2014
126
cited
Millisecond-scale differences in neural activity in auditory cortex can drive decisions
Nature Neuroscience · 2008
106
cited
Geometry of thermodynamic control.
Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
95
cited
Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus
PLoS Comput. Biol. · 2012
82
cited
Asymmetric Dynamics in Optimal Variance Adaptation
Neural Computation · 1998
81
cited
Shared and private variability in the auditory cortex.
Journal of Neurophysiology · 2004
81
cited
Optimal finite-time erasure of a classical bit.
Physical review. E, Statistical, nonlinear, and soft matter physics · 2013
80
cited
Information flow in sensory neurons
1995
72
cited
Minimum Probability Flow Learning
International Conference on Machine Learning · 2009
72
cited
Hamiltonian Monte Carlo Without Detailed Balance
International Conference on Machine Learning · 2014
66
cited
A new method for parameter estimation in probabilistic models: Minimum probability flow
arXiv.org · 2020
62
cited
Bits and brains: Information flow in the nervous system
1993
60
cited
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Michael Deweese | Researcher Profile | Sotabase | Sotabase