Representation and computation in visual working memory

PM Bays, S Schneegans, WJ Ma, TF Brady - Nature Human Behaviour, 2024 - nature.com
The ability to sustain internal representations of the sensory environment beyond immediate
perception is a fundamental requirement of cognitive processing. In recent years, debates …

Sensory perception relies on fitness-maximizing codes

J Schaffner, SD Bao, PN Tobler, TA Hare… - Nature Human …, 2023 - nature.com
Sensory information encoded by humans and other organisms is generally presumed to be
as accurate as their biological limitations allow. However, perhaps counterintuitively …

A unifying theory explains seemingly contradictory biases in perceptual estimation

M Hahn, XX Wei - Nature Neuroscience, 2024 - nature.com
Perceptual biases are widely regarded as offering a window into the neural computations
underlying perception. To understand these biases, previous work has proposed a number …

Transformations of sensory information in the brain suggest changing criteria for optimality

TS Manning, E Alexander, BG Cumming… - PLOS Computational …, 2024 - journals.plos.org
Neurons throughout the brain modulate their firing rate lawfully in response to sensory input.
Theories of neural computation posit that these modulations reflect the outcome of a …

A general framework for inferring Bayesian ideal observer models from psychophysical data

TS Manning, BN Naecker, IR McLean, B Rokers… - eneuro, 2023 - eneuro.org
A central question in neuroscience is how sensory inputs are transformed into percepts. At
this point, it is clear that this process is strongly influenced by prior knowledge of the sensory …

Efficient coding of numbers explains decision bias and noise

A Prat-Carrabin, M Woodford - Nature Human Behaviour, 2022 - nature.com
Humans differentially weight different stimuli in averaging tasks, which has been interpreted
as reflecting encoding bias. We examine the alternative hypothesis that stimuli are encoded …

Bias and variance of the Bayesian-mean decoder

A Prat-Carrabin, M Woodford - Advances in neural …, 2021 - proceedings.neurips.cc
Perception, in theoretical neuroscience, has been modeled as the encoding of external
stimuli into internal signals, which are then decoded. The Bayesian mean is an important …

Prior expectations in visual speed perception predict encoding characteristics of neurons in area MT

LQ Zhang, AA Stocker - Journal of Neuroscience, 2022 - Soc Neuroscience
Bayesian inference provides an elegant theoretical framework for understanding the
characteristic biases and discrimination thresholds in visual speed perception. However, the …

Imprecise probabilistic inference from sequential data.

A Prat-Carrabin, M Woodford - Psychological Review, 2024 - psycnet.apa.org
Although the Bayesian paradigm is an important benchmark in studies of human inference,
the extent to which it provides a useful framework to account for human behavior remains …

Neural codes in early sensory areas maximize fitness

J Schaffner, PN Tobler, TA Hare, R Polania - bioRxiv, 2021 - biorxiv.org
It has generally been presumed that sensory information encoded by a nervous system
should be as accurate as its biological limitations allow. However, perhaps counter …