Gibbs sampling with people

A core problem in cognitive science and machine learning is to understand how humans derive semantic representations from perceptual objects, such as color from an apple, pleasantness from a musical chord, or seriousness from a face. Markov Chain Monte Carlo with People (MCMCP) is a prominent method for studying such representations, in which participants are presented with binary choice trials constructed such that the decisions follow a Markov Chain Monte Carlo acceptance rule. However, while MCMCP has strong asymptotic properties, its binary choice paradigm generates relatively little information per trial, and its local proposal function makes it slow to explore the parameter space and find the modes of the distribution. Here we therefore generalize MCMCP to a continuous-sampling paradigm, where in each iteration the participant uses a slider to continuously manipulate a single stimulus dimension to optimize a given criterion such as 'pleasantness'. We formulate both methods from a utility-theory perspective, and show that the new method can be interpreted as 'Gibbs Sampling with People' (GSP). Further, we introduce an aggregation parameter to the transition step, and show that this parameter can be manipulated to flexibly shift between Gibbs sampling and deterministic optimization. In an initial study, we show GSP clearly outperforming MCMCP; we then show that GSP provides novel and interpretable results in three other domains, namely musical chords, vocal emotions, and faces. We validate these results through large-scale perceptual rating experiments. The final experiments use GSP to navigate the latent space of a state-of-the-art image synthesis network (StyleGAN), a promising approach for applying GSP to high-dimensional perceptual spaces. We conclude by discussing future cognitive applications and ethical implications

Gibbs sampling with people

A core problem in cognitive science and machine learning is to understand how humans derive semantic representations from perceptual objects, such as color from an apple, pleasantness from a musical chord, or seriousness from a face. Markov Chain Monte Carlo with People (MCMCP) is a prominent method for studying such representations, in which participants are presented with binary choice trials constructed such that the decisions follow a Markov Chain Monte Carlo acceptance rule. However, while MCMCP has strong asymptotic properties, its binary choice paradigm generates relatively little information per trial, and its local proposal function makes it slow to explore the parameter space and find the modes of the distribution. Here we therefore generalize MCMCP to a continuous-sampling paradigm, where in each iteration the participant uses a slider to continuously manipulate a single stimulus dimension to optimize a given criterion such as 'pleasantness'. We formulate both methods from a utility-theory perspective, and show that the new method can be interpreted as 'Gibbs Sampling with People' (GSP). Further, we introduce an aggregation parameter to the transition step, and show that this parameter can be manipulated to flexibly shift between Gibbs sampling and deterministic optimization. In an initial study, we show GSP clearly outperforming MCMCP; we then show that GSP provides novel and interpretable results in three other domains, namely musical chords, vocal emotions, and faces. We validate these results through large-scale perceptual rating experiments. The final experiments use GSP to navigate the latent space of a state-of-the-art image synthesis network (StyleGAN), a promising approach for applying GSP to high-dimensional perceptual spaces. We conclude by discussing future cognitive applications and ethical implications

Clarifying status of DNNs as models of human vision

On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN-human correspondences should be evaluated, the value of alternative modelling approaches, and impact of marketing hype in the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN-human correspondences in vision and other domains of cognition. We explore all these issues in this response

A duplicated copy of id2b is an unusual sex-determining candidate gene on the Y chromosome of arapaima (Arapaima gigas).

Our study broadens our current understanding about the evolution of sex determination genetic networks and provide a tool for improving arapaima aquaculture for commercial and conservation purposes

Against the epistemological primacy of the hardware: The brain from inside out, turned upside down

Before he wrote the recent bookThe Brain from Inside Out, the neuroscientist György Buzsáki previewedsome of the arguments in a paper written 20 years ago (“The brain-cognitive behavior problem: a retrospec-tive”), now finally published. The principal focus of the paper is the relationship between neuroscience andpsychology. The direction in which that research had proceeded, and continues now, is, in his view, funda-mentally misguided. Building on the critique, Buzsáki presents arguments for an“inside-out”approach, where-in the study of neurobiological objects has primacy over using psychological concepts to study the brain, andshould, in fact, give rise to them. We argue that he is too pessimistic, and actually not quite right, about howthe relation between cognition and neuroscience can be studied. Second, we are not in agreement with thenormative recommendation of how to proceed: a predominantly brain first, implementation-driven researchagenda. Finally, we raise concerns about the philosophical underpinning of the research program he advan-ces. Buzsáki’s perspective merits careful examination, and we suggest that it can be linked in a productiveway to ongoing research, aligning his inside-out approach with current work that yields convincing accountsof mind and brain

The transcriptome of the newt Cynops orientalis provides new insights into evolution and function of sexual gene networks in sarcopterygians

Amphibians evolved in the Devonian period about 400 Mya and represent a transition step in tetrapod evolution. Among amphibians, high-throughput sequencing data are very limited for Caudata, due to their largest genome sizes among terrestrial vertebrates. In this paper we present the transcriptome from the fire bellied newt Cynops orientalis. Data here presented display a high level of completeness, comparable to the fully sequenced genomes available from other amphibians. Moreover, this work focused on genes involved in gametogenesis and sexual development. Surprisingly, the gsdf gene was identified for the first time in a tetrapod species, so far known only from bony fish and basal sarcopterygians. Our analysis failed to isolate fgf24 and foxl3, supporting the possible loss of both genes in the common ancestor of Rhipidistians. In Cynops, the expression analysis of genes described to be sex-related in vertebrates singled out an expected functional role for some genes, while others displayed an unforeseen behavior, confirming the high variability of the sex-related pathway in vertebrates

Testes of Astyanax altiparanae: The Sertoli cell functions in a semicystic spermatogenesis

The Astyanax altiparanae (lambari) is a South American freshwater fish belonging to the family Characidae. Although some authors have described reproductive aspects of this species, this is the first study about the morphology of the testes throughout the annual reproductive cycle of A. altiparanae. Fish spermatogenesis differs from that in mammals as it occurs in cysts whose borders are defined by cytoplasmic processes of Sertoli cells, thus creating a favorable environment for spermatogenesis. The functions commonly attributed to fish Sertoli cells were investigated using stereological, light and electron microscopy in A. altiparanae. Results showed that when the Sertoli cells of A. altiparanae are in contact with germ cells, they plan a support function that culminates in the production of spermatozoa. After releasing spermatozoa, modified Sertoli cells form the duct epithelium, transform into secretory cells and release a secretion into the duct lumen where spermatids and sperm are located. Thus, the present study revealed important aspects of the testes of A. altiparanae, and propose a sequence of functions played by the Sertoli cells in this species. (C) 2014 Elsevier Ltd. All rights reserved.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq