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Bayes, Oracle Bayes and Empirical Bayes

Bradley Efron.

Source: Statistical Science, Volume 34, Number 2, 177--201.

Abstract:
This article concerns the Bayes and frequentist aspects of empirical Bayes inference. Some of the ideas explored go back to Robbins in the 1950s, while others are current. Several examples are discussed, real and artificial, illustrating the two faces of empirical Bayes methodology: “oracle Bayes” shows empirical Bayes in its most frequentist mode, while “finite Bayes inference” is a fundamentally Bayesian application. In either case, modern theory and computation allow us to present a sharp finite-sample picture of what is at stake in an empirical Bayes analysis.




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Comment: Contributions of Model Features to BART Causal Inference Performance Using ACIC 2016 Competition Data

Nicole Bohme Carnegie.

Source: Statistical Science, Volume 34, Number 1, 90--93.

Abstract:
With a thorough exposition of the methods and results of the 2016 Atlantic Causal Inference Competition, Dorie et al. have set a new standard for reproducibility and comparability of evaluations of causal inference methods. In particular, the open-source R package aciccomp2016, which permits reproduction of all datasets used in the competition, will be an invaluable resource for evaluation of future methodological developments. Building upon results from Dorie et al., we examine whether a set of potential modifications to Bayesian Additive Regression Trees (BART)—multiple chains in model fitting, using the propensity score as a covariate, targeted maximum likelihood estimation (TMLE), and computing symmetric confidence intervals—have a stronger impact on bias, RMSE, and confidence interval coverage in combination than they do alone. We find that bias in the estimate of SATT is minimal, regardless of the BART formulation. For purposes of CI coverage, however, all proposed modifications are beneficial—alone and in combination—but use of TMLE is least beneficial for coverage and results in considerably wider confidence intervals.




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Comment: Causal Inference Competitions: Where Should We Aim?

Ehud Karavani, Tal El-Hay, Yishai Shimoni, Chen Yanover.

Source: Statistical Science, Volume 34, Number 1, 86--89.

Abstract:
Data competitions proved to be highly beneficial to the field of machine learning, and thus expected to provide similar advantages in the field of causal inference. As participants in the 2016 and 2017 Atlantic Causal Inference Conference (ACIC) data competitions and co-organizers of the 2018 competition, we discuss the strengths of simulation-based competitions and suggest potential extensions to address their limitations. These suggested augmentations aim at making the data generating processes more realistic and gradually increase in complexity, allowing thorough investigations of algorithms’ performance. We further outline a community-wide competition framework to evaluate an end-to-end causal inference pipeline, beginning with a causal question and a database, and ending with causal estimates.




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Comment on “Automated Versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition”

Susan Gruber, Mark J. van der Laan.

Source: Statistical Science, Volume 34, Number 1, 82--85.

Abstract:
Dorie and co-authors (DHSSC) are to be congratulated for initiating the ACIC Data Challenge. Their project engaged the community and accelerated research by providing a level playing field for comparing the performance of a priori specified algorithms. DHSSC identified themes concerning characteristics of the DGP, properties of the estimators, and inference. We discuss these themes in the context of targeted learning.




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Matching Methods for Causal Inference: A Review and a Look Forward

Elizabeth A. Stuart

Source: Statist. Sci., Volume 25, Number 1, 1--21.

Abstract:
When estimating causal effects using observational data, it is desirable to replicate a randomized experiment as closely as possible by obtaining treated and control groups with similar covariate distributions. This goal can often be achieved by choosing well-matched samples of the original treated and control groups, thereby reducing bias due to the covariates. Since the 1970s, work on matching methods has examined how to best choose treated and control subjects for comparison. Matching methods are gaining popularity in fields such as economics, epidemiology, medicine and political science. However, until now the literature and related advice has been scattered across disciplines. Researchers who are interested in using matching methods—or developing methods related to matching—do not have a single place to turn to learn about past and current research. This paper provides a structure for thinking about matching methods and guidance on their use, coalescing the existing research (both old and new) and providing a summary of where the literature on matching methods is now and where it should be headed.




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Heteromodal Cortical Areas Encode Sensory-Motor Features of Word Meaning

The capacity to process information in conceptual form is a fundamental aspect of human cognition, yet little is known about how this type of information is encoded in the brain. Although the role of sensory and motor cortical areas has been a focus of recent debate, neuroimaging studies of concept representation consistently implicate a network of heteromodal areas that seem to support concept retrieval in general rather than knowledge related to any particular sensory-motor content. We used predictive machine learning on fMRI data to investigate the hypothesis that cortical areas in this "general semantic network" (GSN) encode multimodal information derived from basic sensory-motor processes, possibly functioning as convergence–divergence zones for distributed concept representation. An encoding model based on five conceptual attributes directly related to sensory-motor experience (sound, color, shape, manipulability, and visual motion) was used to predict brain activation patterns associated with individual lexical concepts in a semantic decision task. When the analysis was restricted to voxels in the GSN, the model was able to identify the activation patterns corresponding to individual concrete concepts significantly above chance. In contrast, a model based on five perceptual attributes of the word form performed at chance level. This pattern was reversed when the analysis was restricted to areas involved in the perceptual analysis of written word forms. These results indicate that heteromodal areas involved in semantic processing encode information about the relative importance of different sensory-motor attributes of concepts, possibly by storing particular combinations of sensory and motor features.

SIGNIFICANCE STATEMENT The present study used a predictive encoding model of word semantics to decode conceptual information from neural activity in heteromodal cortical areas. The model is based on five sensory-motor attributes of word meaning (color, shape, sound, visual motion, and manipulability) and encodes the relative importance of each attribute to the meaning of a word. This is the first demonstration that heteromodal areas involved in semantic processing can discriminate between different concepts based on sensory-motor information alone. This finding indicates that the brain represents concepts as multimodal combinations of sensory and motor representations.




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Cancer / design : Biman Mullick.

[London?], 6th November 1989.




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How can the smoker and the nonsmoker be equally free in the same place? George Bernard Shaw / Biman Mullick.

[London?], [199-?]




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The hidden holocaust.

[London?], [199-?]




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The 2019 Victoria’s Secret Fashion Show Is Canceled After Facing Backlash for Lack of Body Diversity

The reaction on social media has been fierce.




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Jennifer Lopez Is Wearing the Hell Out of These $60 Sneakers—and You Can Buy Them at Zappos

The chic sneaks are part of Zappos' massive Cyber Monday sale.




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Nike Launches Zoom Pulse Sneakers for Medical Workers Who Are On Their Feet All Day

The new style is available to shop today.




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Optimization of a GCaMP Calcium Indicator for Neural Activity Imaging

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular




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Brain-Derived Neurotrophic Factor Protection of Cortical Neurons from Serum Withdrawal-Induced Apoptosis Is Inhibited by cAMP

Steven Poser
Jun 1, 2003; 23:4420-4427
Cellular




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Physical Exercise Prevents Stress-Induced Activation of Granule Neurons and Enhances Local Inhibitory Mechanisms in the Dentate Gyrus

Timothy J. Schoenfeld
May 1, 2013; 33:7770-7777
BehavioralSystemsCognitive




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Axonal ramifications of hippocampal Ca1 pyramidal cells

WD Knowles
Nov 1, 1981; 1:1236-1241
Articles




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Microglia Actively Remodel Adult Hippocampal Neurogenesis through the Phagocytosis Secretome

Irune Diaz-Aparicio
Feb 12, 2020; 40:1453-1482
Development Plasticity Repair




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{Delta}9-Tetrahydrocannabinol and Cannabinol Activate Capsaicin-Sensitive Sensory Nerves via a CB1 and CB2 Cannabinoid Receptor-Independent Mechanism

Peter M. Zygmunt
Jun 1, 2002; 22:4720-4727
Behavioral




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Synaptic Specificity and Application of Anterograde Transsynaptic AAV for Probing Neural Circuitry

Brian Zingg
Apr 15, 2020; 40:3250-3267
Systems/Circuits




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Dural Calcitonin Gene-Related Peptide Produces Female-Specific Responses in Rodent Migraine Models

Amanda Avona
May 29, 2019; 39:4323-4331
Systems/Circuits




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Neurobiological Mechanisms of the Placebo Effect

Fabrizio Benedetti
Nov 9, 2005; 25:10390-10402
Symposia and Mini-Symposia




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Significant Neuroanatomical Variation Among Domestic Dog Breeds

Erin E. Hecht
Sep 25, 2019; 39:7748-7758
BehavioralSystemsCognitive




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Physiological Basis of Noise-Induced Hearing Loss in a Tympanal Ear

Ben Warren
Apr 8, 2020; 40:3130-3140
Neurobiology of Disease




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Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence

Catherine Orr
Mar 6, 2019; 39:1817-1827
BehavioralSystemsCognitive




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Indigenous peoples and dementia : new understandings of memory loss and memory care

9780774837835 (hardcover)




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Oscillatory Coupling of Hippocampal Pyramidal Cells and Interneurons in the Behaving Rat

Jozsef Csicsvari
Jan 1, 1999; 19:274-287
Articles




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Evidence for multiple AMPA receptor complexes in hippocampal CA1/CA2 neurons

RJ Wenthold
Mar 15, 1996; 16:1982-1989
Articles




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Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model

Xiao-Jing Wang
Oct 15, 1996; 16:6402-6413
Articles




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Three-dimensional structure of dendritic spines and synapses in rat hippocampus (CA1) at postnatal day 15 and adult ages: implications for the maturation of synaptic physiology and long-term potentiation [published erratum appears in J Neurosci 1992 Aug;1

KM Harris
Jul 1, 1992; 12:2685-2705
Articles




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Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics

KM Harris
Aug 1, 1989; 9:2982-2997
Articles




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Neural Mechanisms of Visual Working Memory in Prefrontal Cortex of the Macaque

Earl K. Miller
Aug 15, 1996; 16:5154-5167
Articles




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Optimization of a GCaMP Calcium Indicator for Neural Activity Imaging

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular




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Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4

Carrie J. McAdams
Jan 1, 1999; 19:431-441
Articles




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Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans

Jeremy R. Manning
Oct 28, 2009; 29:13613-13620
BehavioralSystemsCognitive




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The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells

RU Muller
Jul 1, 1987; 7:1951-1968
Articles




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Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease

Randy L. Buckner
Feb 11, 2009; 29:1860-1873
Neurobiology of Disease




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Quantitative Ultrastructural Analysis of Hippocampal Excitatory Synapses

Thomas Schikorski
Aug 1, 1997; 17:5858-5867
Articles




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The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs

WR Softky
Jan 1, 1993; 13:334-350
Articles




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The neural circuit for touch sensitivity in Caenorhabditis elegans

M Chalfie
Apr 1, 1985; 5:956-964
Articles




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Molecular cloning, functional properties, and distribution of rat brain alpha 7: a nicotinic cation channel highly permeable to calcium

P Seguela
Feb 1, 1993; 13:596-604
Articles




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Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex

Matteo Carandini
Nov 1, 1997; 17:8621-8644
Articles




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Calcium Influx via the NMDA Receptor Induces Immediate Early Gene Transcription by a MAP Kinase/ERK-Dependent Mechanism

Zhengui Xia
Sep 1, 1996; 16:5425-5436
Articles




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Cortical Excitatory Neurons and Glia, But Not GABAergic Neurons, Are Produced in the Emx1-Expressing Lineage

Jessica A. Gorski
Aug 1, 2002; 22:6309-6314
BRIEF COMMUNICATION




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A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components

M Steriade
Aug 1, 1993; 13:3252-3265
Articles




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Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat

A Bragin
Jan 1, 1995; 15:47-60
Articles




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Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type

Guo-qiang Bi
Dec 15, 1998; 18:10464-10472
Articles




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The establishment of polarity by hippocampal neurons in culture

CG Dotti
Apr 1, 1988; 8:1454-1468
Articles




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The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding

Michael N. Shadlen
May 15, 1998; 18:3870-3896
Articles




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The analysis of visual motion: a comparison of neuronal and psychophysical performance

KH Britten
Dec 1, 1992; 12:4745-4765
Articles




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Rassegna trimestrale BRI dicembre 2017: Un paradossale inasprimento ci riporta all'enigma del mercato obbligazionario

Italian translation of the BIS press release about the BIS Quarterly Review, December 2017