[HTML][HTML] Using artificial neural networks to ask 'why'questions of minds and brains

N Kanwisher, M Khosla, K Dobs - Trends in Neurosciences, 2023 - cell.com
Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …

The neuroconnectionist research programme

A Doerig, RP Sommers, K Seeliger… - Nature Reviews …, 2023 - nature.com
Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …

The neural architecture of language: Integrative modeling converges on predictive processing

M Schrimpf, IA Blank, G Tuckute… - Proceedings of the …, 2021 - National Acad Sciences
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …

Two views on the cognitive brain

DL Barack, JW Krakauer - Nature Reviews Neuroscience, 2021 - nature.com
Cognition can be defined as computation over meaningful representations in the brain to
produce adaptive behaviour. There are two views on the relationship between cognition and …

Abstract representations emerge in human hippocampal neurons during inference

HS Courellis, J Minxha, AR Cardenas, DL Kimmel… - Nature, 2024 - nature.com
Humans have the remarkable cognitive capacity to rapidly adapt to changing environments.
Central to this capacity is the ability to form high-level, abstract representations that take …

Improving the accuracy of single-trial fMRI response estimates using GLMsingle

JS Prince, I Charest, JW Kurzawski, JA Pyles, MJ Tarr… - Elife, 2022 - elifesciences.org
Advances in artificial intelligence have inspired a paradigm shift in human neuroscience,
yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide …

A brainstem map for visceral sensations

C Ran, JC Boettcher, JA Kaye, CE Gallori, SD Liberles - Nature, 2022 - nature.com
The nervous system uses various coding strategies to process sensory inputs. For example,
the olfactory system uses large receptor repertoires and is wired to recognize diverse …

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

MN Hebart, O Contier, L Teichmann, AH Rockter… - Elife, 2023 - elifesciences.org
Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

[图书][B] What babies know: Core Knowledge and Composition volume 1

ES Spelke - 2022 - books.google.com
What do infants know? How does the knowledge that they begin with prepare them for
learning about the particular physical, cultural, and social world in which they live? Answers …

Does the brain's ventral visual pathway compute object shape?

V Ayzenberg, M Behrmann - Trends in Cognitive Sciences, 2022 - cell.com
A rich behavioral literature has shown that human object recognition is supported by a
representation of shape that is tolerant to variations in an object's appearance …