Elsevier eBooks, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Elsevier eBooks, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Nature, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
7Current Biology, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
13Nature, Год журнала: 2024, Номер 629(8012), С. 630 - 638
Опубликована: Май 8, 2024
Язык: Английский
Процитировано
13Nature reviews. Neuroscience, Год журнала: 2024, Номер 25(6), С. 428 - 448
Опубликована: Май 7, 2024
Язык: Английский
Процитировано
12Опубликована: Апрель 29, 2024
Abstract The mammalian hippocampus contains a cognitive map that represents an animal’s position in the environment 1 and generates offline “replay” 2,3 for purposes of recall 4 , planning 5,6 forming long term memories 7 . Recently, it’s been found artificial neural networks trained to predict sensory inputs develop spatially tuned cells 8 aligning with predictive theories hippocampal function 9–11 However, whether learning can also account ability produce replay is unknown. Here, we find spatially-tuned cells, which robustly emerge from all forms learning, do not guarantee presence generate replay. Offline simulations only emerged used recurrent connections head-direction information multi-step observation sequences, promoted formation continuous attractor reflecting geometry environment. These trajectories were able show wake-like statistics, autonomously recently experienced locations, could be directed by virtual head direction signal. Further, make cyclical predictions future sequences rapidly learn produced sweeping representations positions reminiscent theta sweeps 12 results demonstrate how hippocampal-like representation engaged suggest reflect circuit implements data-efficient algorithm sequential learning. Together, this framework provides unifying theory functions hippocampal-inspired approaches intelligence.
Язык: Английский
Процитировано
11Science, Год журнала: 2024, Номер 385(6710), С. 738 - 743
Опубликована: Авг. 15, 2024
Memory consolidation involves the synchronous reactivation of hippocampal cells active during recent experience in sleep sharp-wave ripples (SWRs). How this increase firing rates and synchrony after learning is counterbalanced to preserve network stability not understood. We discovered a event generated by an intrahippocampal circuit formed subset CA2 pyramidal cholecystokinin-expressing (CCK+) basket cells, which fire barrage action potentials (“BARR”) non–rapid eye movement sleep. CA1 neurons assemblies that increased their activity were reactivated SWRs but inhibited BARRs. The initial returned baseline through This trend was abolished silencing CCK+ BARRs, resulting higher impaired memory consolidation.
Язык: Английский
Процитировано
10Current Biology, Год журнала: 2024, Номер 34(9), С. 1866 - 1879.e6
Опубликована: Апрель 11, 2024
Язык: Английский
Процитировано
7Опубликована: Фев. 17, 2025
The experience-dependent spatial cognitive process requires sequential organization of hippocampal neural activities by theta rhythm, which develops to represent highly compressed information for rapid learning. However, how the sequences were developed in a finer time scale within cycles remains unclear. In this study, we found that sweep-ahead structure developing with exploration was predominantly dependent on relatively large proportion FG-cells, i.e. subset place cells dominantly phase-locked fast gamma rhythms. These ensembles integrated consistently firing at precessing slow phases cycle. Accordingly, FG-cell positively correlated intensity phase precession, particular during early development sequences. findings highlight dynamic network-modulation and may further facilitate memory encoding retrieval.
Язык: Английский
Процитировано
1bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown
Опубликована: Март 12, 2025
Summary Hippocampal ripples are highly synchronized neuronal population patterns reactivating past waking experiences in the offline brain. Whether level, structure, and content of ripple-nested activity consistent across consecutive events or tuned each event remains unclear. By profiling individual using laminar currents mouse hippocampus during sleep/rest, we identified Rad sink LM featuring current sinks stratum radiatum versus lacunosum-moleculare , respectively. These two ripple profiles recruit neurons differently. integrate recent motifs coactivity, combining superficial deep CA1 principal cells into denser, higher-dimensional that undergo hour-long stable reactivation. In contrast, contain core prior engaging sparser, lower-dimensional a reactivation drift, gradually updating their pre-structured for wakefulness. We propose ripple-by-ripple diversity instantiates parallel channels integration wakefulness flexible internal representations.
Язык: Английский
Процитировано
1Current Biology, Год журнала: 2024, Номер 34(13), С. 2801 - 2811.e9
Опубликована: Июнь 3, 2024
Язык: Английский
Процитировано
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