A rubric for human-like agents and NeuroAI
I Momennejad - … Transactions of the Royal Society B, 2023 - royalsocietypublishing.org
Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …
How our understanding of memory replay evolves
Memory reactivations and replay, widely reported in the hippocampus and cortex across
species, have been implicated in memory consolidation, planning, and spatial and skill …
species, have been implicated in memory consolidation, planning, and spatial and skill …
Правовое регулирование искусственного интеллекта
ИА Филипова - 2022 - elibrary.ru
Искусственный интеллект выступает важнейшим элементом Четвертой
промышленной революции. Его быстрое развитие и расширяющееся использование …
промышленной революции. Его быстрое развитие и расширяющееся использование …
Magnetic resonance-based eye tracking using deep neural networks
Viewing behavior provides a window into many central aspects of human cognition and
health, and it is an important variable of interest or confound in many functional magnetic …
health, and it is an important variable of interest or confound in many functional magnetic …
[HTML][HTML] Predictive maps in rats and humans for spatial navigation
Much of our understanding of navigation comes from the study of individual species, often
with specific tasks tailored to those species. Here, we provide a novel experimental and …
with specific tasks tailored to those species. Here, we provide a novel experimental and …
Deep learning approaches for neural decoding across architectures and recording modalities
JA Livezey, JI Glaser - Briefings in bioinformatics, 2021 - academic.oup.com
Decoding behavior, perception or cognitive state directly from neural signals is critical for
brain–computer interface research and an important tool for systems neuroscience. In the …
brain–computer interface research and an important tool for systems neuroscience. In the …
[HTML][HTML] The neuroscience of spatial navigation and the relationship to artificial intelligence
E Bermudez-Contreras, BJ Clark… - Frontiers in Computational …, 2020 - frontiersin.org
Recent advances in artificial intelligence (AI) and neuroscience are impressive. In AI, this
includes the development of computer programs that can beat a grandmaster at GO or …
includes the development of computer programs that can beat a grandmaster at GO or …
A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species
A Navas-Olive, A Rubio, S Abbaspoor… - Communications …, 2024 - nature.com
The study of sharp-wave ripples has advanced our understanding of memory function, and
their alteration in neurological conditions such as epilepsy is considered a biomarker of …
their alteration in neurological conditions such as epilepsy is considered a biomarker of …
Behavioral status modulates CA2 influence on hippocampal network dynamics
H He, Y Wang, TJ McHugh - Hippocampus, 2023 - Wiley Online Library
Dynamic interactions between the subregions of the hippocampus are required for the
encoding and consolidation of memory. While the interplay and contributions of the CA1 and …
encoding and consolidation of memory. While the interplay and contributions of the CA1 and …
Uncovering spatial representations from spatiotemporal patterns of rodent hippocampal field potentials
Spatiotemporal patterns of large-scale spiking and field potentials of the rodent
hippocampus encode spatial representations during maze runs, immobility, and sleep. Here …
hippocampus encode spatial representations during maze runs, immobility, and sleep. Here …