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Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds

Jeremy Lewi, Robert J. Butera, David M. Schneider, Sarah M. N. Woolley, Liam Paninski
2008 Neural Information Processing Systems  
Here we describe how to use stronger prior information, in the form of parametric models of the receptive field, in order to construct optimal stimuli and further improve the efficiency of our experiments  ...  Sequential optimal design methods hold great promise for improving the efficiency of neurophysiology experiments.  ...  In many experiments, neurophysiologists expect a-priori that the receptive field of a neuron will have some low-dimensional parametric structure; e.g the receptive field might be well-approximated by a  ... 
dblp:conf/nips/LewiBSWP08 fatcat:t5bceercjvf3zkcjr3u6tl7wl4

Geometry and dimensionality reduction of feature spaces in primary visual cortex [article]

Davide Barbieri
2015 arXiv   pre-print
In particular, several relationships between the cortical morphologies and the parametric dependencies of extracted features are formalized and considered from a harmonic analysis point of view.  ...  This can be interpreted as a principle of dimensionality reduction constrained to optimally independent representation of orientations, in the following sense.  ...  The purpose of this paper is to review some key facts about mathematical models of neurophysiological behaviors, to show some new properties of these models, to present some open problems that can be of  ... 
arXiv:1509.03942v1 fatcat:co7afwawlffrtnqvqudydfquli

Rate Distortion Manifolds as Model Spaces for Cognitive Information

James F. Glazebrook, Rodrick Wallace
2009 Informatica (Ljubljana, Tiskana izd.)  
individuals, human institutions, distributed cognition and massively parallel intelligent machine design.  ...  Wallace as a possible geometric-topological descriptive model for incorporating a dynamic information based treatment of the Global Workspace theory of B. Baars.  ...  In order to see how suitable models may be designed accordingly, consider the dual source uncertainty of a cognitive process as parametrized by a vector K ≡ (K 1 , . . . , K n ).  ... 
dblp:journals/informaticaSI/GlazebrookW09 fatcat:7l43ridf2vantdleumt6kdbl5y

Special issue on information reuse and integration

2007 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
In most scenarios, the actual quality of such datasets is unknown to the data mining practitioner.  ...  Four performance metrics suitable for class imbalanced data were used to measure learner performance.  ...  References [1] Acknowledgement I would like to extend my special thanks to anonymous reviewers for their valuable comments and contributions.  ... 
doi:10.1109/tsmcb.2007.912701 fatcat:xvhlaf4m3vhcdb2cicqtfrug6m

Perceptual-cognitive universals as reflections of the world

R N Shepard
2001 Behavioral and Brain Sciences  
invariance, and elegance of principles governing the universe may be reflected in principles of the minds that have evolved in that universe--provided that the mental principles are formulated with respect to  ...  variation in natural illumination is canceled by application of its inverse from the three-dimensional linear group of terrestrial transformations of the invariant solar source. (3) Kinds of objects support optimal  ...  Other colleagues who have especially contributed to or influenced the particular work reviewed here include Eloise Carlton ACKNOWLEDGMENTS The author is indebted to Davidson College for funding a research  ... 
pmid:12048942 fatcat:q7istgyd4zfo5ewh5u4susudf4

SPATIO-TEMPORAL MODELS OF THE FUNCTIONAL ARCHITECTURE OF THE VISUAL CORTEX Spatio-temporal models of the functional architecture of the visual cortex

Giacomo Cocci
unpublished
In that experiment, the cells managed to resolve the aperture problem more easily if the line used as stimulus didn't extend too far beyond their classical receptive field.  ...  retina, termed the receptive field of the fiber" [45] .  ...  In Section 2, I have described two different connectivity kernels, one modeling the interactions between points of a motion contour (Γ 0 ), and one specifically modeled for motion integration of point  ... 
fatcat:ay43xlo2vzdzvocm7brlf7pxsq