Maximally informative dimensions
Web12 apr. 2024 · Abstract. A prominent trend in single-cell transcriptomics is providing spatial context alongside a characterization of each cell’s molecular state. This typically requires targeting an a priori ... WebWe analyzed salamander retinal ganglion cell responses arXiv:1201.3552v1 [q-bio.NC] 17 Jan 2012 2 using maximally informative dimensions, and quanti ed the encoding properties of the neurons using 2D linear- nonlinear (LN) models.
Maximally informative dimensions
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http://www.stat.columbia.edu/~liam/teaching/neurostat-spr11/papers/bialek-et-al/sharpee+al_04.pdf Web20 jul. 2024 · Abstract. Categorical perception refers to the enhancement of perceptual sensitivity near category boundaries, generally along dimensions that are informative about category membership. However, it remains unclear exactly which dimensions are treated as informative and why. This article reports a series of experiments in which …
Web1 apr. 2015 · One popular method, known as maximally informative dimensions (MID), uses an information-theoretic quantity known as "single-spike information" to identify this space. Here we examine MID from a model-based perspective. WebOne popular method, known as maximally informative dimensions (MID), uses an information-theoretic quantity known as “single-spike information” to identify this space. Here we examine MID from a model-based perspective.
WebAnalyzing neural responses to natural signals: maximally informative dimensions Authors Tatyana Sharpee 1 , Nicole C Rust , William Bialek Affiliation 1 Sloan-Swartz … WebarXiv:physics/0212110v1 [physics.bio-ph] 31 Dec 2002 Analyzing neural responses to natural signals: Maximally informative dimensions Tatyana Sharpee, 1Nicole C. Rust,2 and William Bialek,3 1 Sloan–Swartz Center for Theoretical Neurobiology and Department of Physiology University of California at San Francisco, San Francisco, California 94143–0444
WebWe show that maximally informative dimensions (MID), a popular information-theoretic method for dimensionality reduction, is identical to the maximum-likelihood estimator for a particular linear-nonlinear encoding model with Pois- son spiking.
Webit requires either sampling of the high-dimensional probability distribution ,.- 7 /+132 465 8 or a model of how spikes were generated, i.e. the knowledge of low-dimensional RS. How-ever it is possible to calculate in a model-independent way, if stimuli are presented multiple times to estimate the probability distribution,.-0/+132 465>7 8. Then, graphic poloWebMaximally informative dimensions: Analyzing neural responses to natural signals Tatyana Sharpee, 1Nicole C. Rust,2 and William Bialek,3 1 Sloan–Swartz Center for … chiropractic clinic new maldenWeb13 aug. 2002 · These results should prove useful in the study of the neural coding of high-dimensional natural signals, a field which has seen much interest recently [Theunissen … chiropractic clinic hazelwood portlandWeb1 mrt. 2004 · (PDF) Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions Home Neural Analyzers Analyzing Neural Responses to … graphic polos for menWebThe stimuli analyzed by sensory neurons are intrinsically high dimensional, with di-mensionsD ∼ 102−103. Forexample,inthecaseofvisualneurons,theinputiscommonly … graphic polo shirtsWebMaximally informative dimensions: Analyzing neural responses to natural signals. Tatyana Sharpee , Nicole C. Rust , and W illiam Bialek Sloan–Swartz Center for Theoretical Neurobiology, Department of Physiology University of California at San Francisco, San Francisco, California 94143–0444 chiropractic clinic of gretnaWeb27 okt. 2014 · Maximally Informative Hierarchical Representations of High-Dimensional Data. We consider a set of probabilistic functions of some input variables as a … graphic polo t shirts