Maximally informative dimensions

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August undefined, 2024

Web13 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 … 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,

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Web24 jan. 2024 · Maximally informative dimensions is a dimensionality reduction technique used in the statistical analyses of neural responses. Specifically, it is a way of projecting … WebMaximally Informative Dimensions: Analyzing Neural Responses to Natural Signals Tatyana Sharpee , Nicole C. Rust , and William Bialek Sloan–Swartz Center for … cc by tarkoittaa

GitHub - sharpee/mid: Maximally Informative Dimensions

Web17 sep. 2024 · Standard methods that are often used to characterize multidimensional stimulus selectivity, such as spike-triggered covariance (STC) or maximally informative dimensions (MIDs), are either limited to Gaussian stimuli or are only able to recover a small number of stimulus features due to data limitations. WebQuality of life of Celiac Disease (CD) patients is affected by constraints in their physical, social and emotional behaviour. Our objective is to assess differences in two relevant dimensions of the Celiac Quality of Life (CQoL) scale, Limitations due to the disease and Dysphoria (i.e., feelings of depression and discomfort), in relation to the perceived social … Web1 mrt. 2004 · (PDF) Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions Home Neural Analyzers Analyzing Neural Responses to … cc aiken sc

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Web26 jan. 2024 · Figure 1: (Color online) Example analysis of firing rate for a simple, a, and a complex, b, cell in the cat primary visual cortex probed with natural stimuli from the dataset Sharpee et al. ().Two relevant input dimensions were found for each neuron using the maximally informative dimensions method described in Sharpee et al. ().Color shows … Web1 okt. 2011 · Maximally informative dimensions [23] is an algorithm that finds one or more linear combinations of the stimulus dimensions, i.e. a reduced stimulus vector x , that maximizes the information cc eskalaWebarXiv:physics/0208057v1 [physics.bio-ph] 14 Aug 2002 Maximally informative dimensions: Analyzing neural responses to natural signals 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, … cc iit kanpur

"WebMaximally Informative Dimensions Tatyana Sharpee [email protected] Sloan–Swartz Center for Theoretical Neurobiology and Department of Physiology, University of California at San Francisco, San Francisco, CA 94143, U.S.A. Nicole C. Rust [email protected] Center for Neural Science, New York University, New York, NY … " - Maximally informative dimensions

Maximally informative dimensions

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. Web1 jan. 2002 · Maximally Informative dimensions: analyzing neural responses to natural signals Pages 277–284 ABSTRACT References Index Terms Comments ABSTRACT We propose a method that allows for a rigorous statistical analysis of neural responses to natural stimuli, which are non-Gaussian and exhibit strong correlations.

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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 … WebMaximally 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

Web31 dec. 2002 · Title:Analyzing neural responses to natural signals: Maximally informative dimensions. Authors:Tatyana Sharpee, Nicole C. Rust, William Bialek. Download PDF. … WebAll yes/ no distributions are maximally informative. Equal yes/ no distributions are least informative. Entropy Measures (lack of) purity. Minimal entropy H(0) = H(1) = 0; Maximal entropy H(1/2) = 1; Conclusion. Describe four data mining methods in terms of their categorization, their input data, and the information extracted: Linear regression ...

WebMaximally informative dimensions: Analyzing neural responses to natural signals Tatyana Sharpee, 1Nicole C. Rust,2 and William Bialek,3 1 Sloan–Swartz Center for … Web8 nov. 2013 · The maximally informative stimulus energies we have developed can be generalized to include the inference of an arbitrary two-dimensional, nonlinear quantity …

Web14 jun. 2024 · In this case, this is called the, the method of maximally informative dimensions. One can choose a filter, so one can extract from the stimulus some component that maximizes the Colbeck-Libler Divergence between the spike conditional and the prior distributions. This turns ...

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. cc imelmann pty ltdWebMaximally informative dimensions: Analyzing neural responses to natural signals. In Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 … cc itavuvuWeb12 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 ... cc haut tolosanWebThe stimuli analyzed by sensory neurons are intrinsically high dimensional, with di-mensionsD ∼ 102−103. Forexample,inthecaseofvisualneurons,theinputiscommonly … cc in mailto linkWebidea is to obtain maximally informative features Uby making Vas independent as possible from the combination of Uand Y. For this reason, we name our approach least … cc jackson msWebResource-efﬁcient high-dimensional entanglement detection via symmetric projections Simon Morelli,1 Marcus Huber,2 and Armin Tavakoli3 1BCAM - Basque Center for Applied Mathematics, Mazarredo 14, 48009 Bilbao, Spain 2Atominstitut, Technische Universität Wien, 1020 Vienna, Austria 3Physics Department, Lund University, Box 118, 22100 … cc ja bb voiteen eroWeb20 jun. 2003 · Maximally Informative Dimensions: Analyzing June 2003 Authors: Tatyana Sharpee Salk Institute for Biological Studies Nicole C Rust William Bialek Princeton … cc jatienen