Neural entrainment and attentional selection in the listening brain

J Obleser, C Kayser - Trends in cognitive sciences, 2019 - cell.com
The streams of sounds we typically attend to abound in acoustic regularities. Neural
entrainment is seen as an important mechanism that the listening brain exploits to attune to …

Computational neuroethology: a call to action

SR Datta, DJ Anderson, K Branson, P Perona, A Leifer - Neuron, 2019 - cell.com
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical
advances in measuring and quantifying naturalistic behaviors provide an important …

Finding neurons in a haystack: Case studies with sparse probing

W Gurnee, N Nanda, M Pauly, K Harvey… - arXiv preprint arXiv …, 2023 - arxiv.org
Despite rapid adoption and deployment of large language models (LLMs), the internal
computations of these models remain opaque and poorly understood. In this work, we seek …

Common and stimulus-type-specific brain representations of negative affect

M Čeko, PA Kragel, CW Woo, M López-Solà… - Nature …, 2022 - nature.com
The brain contains both generalized and stimulus-type-specific representations of aversive
events, but models of how these are integrated and related to subjective experience are …

Brain rhythms of pain

M Ploner, C Sorg, J Gross - Trends in cognitive sciences, 2017 - cell.com
Pain is an integrative phenomenon that results from dynamic interactions between sensory
and contextual (ie, cognitive, emotional, and motivational) processes. In the brain the …

Deconstructing multivariate decoding for the study of brain function

MN Hebart, CI Baker - Neuroimage, 2018 - Elsevier
Multivariate decoding methods were developed originally as tools to enable accurate
predictions in real-world applications. The realization that these methods can also be …

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

RAA Ince, BL Giordano, C Kayser… - Human brain …, 2017 - Wiley Online Library
We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …

Quality space computations for consciousness

SM Fleming, N Shea - Trends in Cognitive Sciences, 2024 - cell.com
The quality space hypothesis about conscious experience proposes that conscious sensory
states are experienced in relation to other possible sensory states. For instance, the colour …

Somatic and vicarious pain are represented by dissociable multivariate brain patterns

A Krishnan, CW Woo, LJ Chang, L Ruzic, X Gu… - elife, 2016 - elifesciences.org
Understanding how humans represent others' pain is critical for understanding pro-social
behavior.'Shared experience'theories propose common brain representations for somatic …

Learning how network structure shapes decision-making for bio-inspired computing

M Schirner, G Deco, P Ritter - Nature Communications, 2023 - nature.com
To better understand how network structure shapes intelligent behavior, we developed a
learning algorithm that we used to build personalized brain network models for 650 Human …