Recurrent cortical networks encode natural sensory statistics via sequence filtering DOI Creative Commons
Ciana Deveau, Zhishang Zhou, Paul K. LaFosse

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Фев. 28, 2024

Recurrent neural networks can generate dynamics, but in sensory cortex it has been unclear if any dynamic processing is supported by the dense recurrent excitatory-excitatory network. Here we show a new role for connections mouse visual cortex: they support powerful dynamical computations, filtering sequences of input instead generating sequences. Using two-photon optogenetics, measure responses to natural images and play them back, finding inputs are amplified when played back during correct movie context- preceding sequence corresponds vision. This selectivity depends on network mechanism: earlier patterns produce other local neurons, which interact with later patterns. We confirm this mechanism designing that or suppressed These data suggest cortical perform predictive processing, encoding statistics world input-output transformations.

Язык: Английский

Hippocampal neuronal activity is aligned with action plans DOI Creative Commons
Ipshita Zutshi, Athina Apostolelli, Wannan Yang

и другие.

Nature, Год журнала: 2025, Номер 639(8053), С. 153 - 161

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

2
Sharing neurophysiology data from the Allen Brain Observatory DOI Creative Commons
Saskia de Vries, Joshua H. Siegle, Christof Koch

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Июль 11, 2023

Nullius in verba ('trust no one'), chosen as the motto of Royal Society 1660, implies that independently verifiable observations-rather than authoritative claims-are a defining feature empirical science. As complexity modern scientific instrumentation has made exact replications prohibitive, sharing data is now essential for ensuring trustworthiness one's findings. While embraced spirit by many, practice open remains exception contemporary systems neuroscience. Here, we take stock Allen Brain Observatory, an effort to share and metadata associated with surveys neuronal activity visual system laboratory mice. Data from these have been used produce new discoveries, validate computational algorithms, benchmark comparison other data, resulting over 100 publications preprints date. We distill some lessons learned about reuse, including remaining barriers what might be done address these.

Язык: Английский

Процитировано

19
Recurrent cortical networks encode natural sensory statistics via sequence filtering DOI Creative Commons
Ciana Deveau, Zhishang Zhou, Paul K. LaFosse

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Фев. 28, 2024

Recurrent neural networks can generate dynamics, but in sensory cortex it has been unclear if any dynamic processing is supported by the dense recurrent excitatory-excitatory network. Here we show a new role for connections mouse visual cortex: they support powerful dynamical computations, filtering sequences of input instead generating sequences. Using two-photon optogenetics, measure responses to natural images and play them back, finding inputs are amplified when played back during correct movie context- preceding sequence corresponds vision. This selectivity depends on network mechanism: earlier patterns produce other local neurons, which interact with later patterns. We confirm this mechanism designing that or suppressed These data suggest cortical perform predictive processing, encoding statistics world input-output transformations.

Язык: Английский

Процитировано

1