Name
Affiliation
Papers
STEFAN MIHALAS
Zanvyl-Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD
27
Collaborators
Citations 
PageRank 
70
103
13.77
Referers 
Referees 
References 
227
258
135
Search Limit
100258
Title
Citations
PageRank
Year
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch00.342022
Adaptation supports short-term memory in a visual change detection task00.342021
Autoencoder networks extract latent variables and encode these variables in their connectomes00.342021
Brain Modeling ToolKit: an Open Source Software Suite for Multiscale Modeling of Brain Circuits00.342020
Convolutional neural networks with extra-classical receptive fields.00.342018
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing.10.392017
Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law00.342016
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression.00.342016
The computational properties of a simplified cortical column model30.382016
The Influence Of Synaptic Weight Distribution On Neuronal Population Dynamics70.492013
Proto-object based visual saliency model with a motion-sensitive channel20.622013
Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons.00.342013
A network model of multiplicative attentional modulation.00.342012
Parameter estimation of a spiking silicon neuron.30.372012
Figure-ground classification based on spectral properties of boundary image patches.00.342012
Medial axis generation in a model of perceptual organization.20.382012
Event-related simulation of neural processing in complex visual scenes40.462011
Extremal edges: Evidence in natural images00.342011
Calcium Messenger Heterogeneity: A Possible Signal for Spike Timing-Dependent Plasticity.00.342011
Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons.00.342011
Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons.20.392011
Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains.40.492011
Optimization methods for spiking neurons and networks.70.542010
A log-domain implementation of the Mihalas-Niebur neuron model.100.762010
A Dynamic Model Of Interactions Of Ca2+, Calmodulin, And Catalytic Subunits Of Ca2+/Calmodulin-Dependent Protein Kinase Ii30.492010
A generalized linear integrate-and-fire neural model produces diverse spiking behaviors412.492009
A Switched Capacitor Implementation Of The Generalized Linear Integrate-And-Fire Neuron141.132009