SenseLab Home ModelDB Home

Models that contain the Model Topic : Unsupervised Learning

(A method for neural network training where the network is only presented with inputs and tries to find patterns within the inputs to classify the inputs, or alternatively, attempts to maximize a fitness function by exploring an environment without any best output pattern made available.)

   Models
Alternative time representation in dopamine models (Rivest et al. 2009)
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
Democratic population decisions result in robust policy-gradient learning (Richmond et al. 2011)
Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
Large scale model of the olfactory bulb (Yu et al., 2013)
Learning spatial transformations through STDP (Davison, Frégnac 2006)
Mapping function onto neuronal morphology (Stiefel and Sejnowski 2007)
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
Reciprocal regulation of rod and cone synapse by NO (Kourennyi et al 2004)
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
STDP and NMDAR Subunits (Gerkin et al. 2007)
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)


Re-display model names with descriptions

ModelDB Home  SenseLab Home   Help
Questions, comments, problems? Email the ModelDB Administrator
How to cite ModelDB
This site is Copyright 2012 Shepherd Lab, Yale University