Choice of method of place cell classification determines the population of cells identified DOI Creative Commons
Dori M. Grijseels, Kira Shaw, Caswell Barry

и другие.

PLoS Computational Biology, Год журнала: 2021, Номер 17(7), С. e1008835 - e1008835

Опубликована: Июль 8, 2021

Place cells, spatially responsive hippocampal provide the neural substrate supporting navigation and spatial memory. Historically most studies of these neurons have used electrophysiological recordings from implanted electrodes but optical methods, measuring intracellular calcium, are becoming increasingly common. Several methods been proposed as a means to identify place cells based on their calcium activity there is no common standard it unclear how reliable different approaches are. Here we tested four that previously applied two-photon imaging or data, using both model datasets real data. These use parameters including peak in field, compared other locations (the Peak method); stability cells’ over repeated traversals an environment (Stability combination with size field (Combination information held by (Information method). The performed differently each In datasets, vastly numbers were identified little overlap between populations cells. Therefore, choice cell detection method dramatically affects number properties Ultimately, recommend be future populations, this robust moderate variations within session, makes inherent assumptions about fields, unless explicit theoretical reason for detecting more narrowly defined properties.

Язык: Английский

Spatial goal coding in the hippocampal formation DOI Creative Commons
Nils Nyberg, Éléonore Duvelle, Caswell Barry

и другие.

Neuron, Год журнала: 2022, Номер 110(3), С. 394 - 422

Опубликована: Янв. 14, 2022

Язык: Английский

Процитировано

119
Flexible rerouting of hippocampal replay sequences around changing barriers in the absence of global place field remapping DOI Creative Commons
John Widloski, David J. Foster

Neuron, Год журнала: 2022, Номер 110(9), С. 1547 - 1558.e8

Опубликована: Фев. 17, 2022

Язык: Английский

Процитировано

90
Planning in the brain DOI Creative Commons
Marcelo G. Mattar, Máté Lengyel

Neuron, Год журнала: 2022, Номер 110(6), С. 914 - 934

Опубликована: Янв. 17, 2022

Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan tasks previously thought be uniquely human. Meanwhile, the planning algorithms implemented by brain itself remain largely unknown. Here, we review neural and behavioral data sequential decision-making that elucidate ways which does—and does not—plan. To systematically available biological data, create a taxonomy of summarizing relevant design choices for such AI. Across species, recording techniques, task paradigms, find converging evidence represents future states consistent with class within our taxonomy—focused, depth-limited, serial. However, argue current are insufficient addressing more detailed algorithmic questions. We propose new approach leveraging AI advances drive experiments can adjudicate between competing candidate algorithms.

Язык: Английский

Процитировано

75
Predictive maps in rats and humans for spatial navigation DOI Creative Commons
William de Cothi, Nils Nyberg, Eva‐Maria Griesbauer

и другие.

Current Biology, Год журнала: 2022, Номер 32(17), С. 3676 - 3689.e5

Опубликована: Июль 20, 2022

tested humans, rats, and RL agents on a novel modular maze d Humans rats were remarkably similar in their choice of trajectories Both species most to utilizing SR also displayed features model-based planning early trials

Язык: Английский

Процитировано

72
Constructing future behavior in the hippocampal formation through composition and replay DOI Creative Commons
Jacob J. W. Bakermans,

Joseph Warren,

James C. R. Whittington

и другие.

Nature Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Март 10, 2025

Abstract The hippocampus is critical for memory, imagination and constructive reasoning. Recent models have suggested that its neuronal responses can be well explained by state spaces model the transitions between experiences. Here we use simulations hippocampal recordings to reconcile these views. We show if are constructed compositionally from existing building blocks, or primitives, interpreted as compositional memories, binding primitives together. Critically, this enables agents behave optimally in new environments with no learning, inferring behavior directly composition. predict a role replay consolidating memories. test predictions two datasets showing events newly discovered landmarks induce strengthen remote firing fields. When landmark moved, builds field at same vector location. Together, findings provide framework reasoning about memories demonstrate such formed replay.

Язык: Английский

Процитировано

3
From cognitive maps to spatial schemas DOI
Delaram Farzanfar, Hugo J. Spiers, Morris Moscovitch

и другие.

Nature reviews. Neuroscience, Год журнала: 2022, Номер 24(2), С. 63 - 79

Опубликована: Ноя. 21, 2022

Язык: Английский

Процитировано

71
The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning DOI
Ivilin Stoianov, Domenico Maisto, Giovanni Pezzulo

и другие.

Progress in Neurobiology, Год журнала: 2022, Номер 217, С. 102329 - 102329

Опубликована: Июль 21, 2022

Язык: Английский

Процитировано

46
Neural learning rules for generating flexible predictions and computing the successor representation DOI Creative Commons
Ching Fang, Dmitriy Aronov,

LF Abbott

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Март 16, 2023

The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by reinforcement learning literature, this notion has been formalized as a map called successor representation (SR). SR captures number observations about hippocampal activity. However, algorithm does not provide neural mechanism how such representations arise. Here, we show dynamics recurrent network naturally calculate when synaptic weights match transition probability matrix. Interestingly, horizon can flexibly modulated simply changing gain. We derive simple, biologically plausible rules learn in network. test our model with realistic inputs and data recorded during random foraging. Taken together, results suggest that more accessible circuits than previously support broad range functions.

Язык: Английский

Процитировано

41
Temporal context and latent state inference in the hippocampal splitter signal DOI Creative Commons
Éléonore Duvelle, Roddy M. Grieves, Matthijs A. A. van der Meer

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Янв. 9, 2023

The hippocampus is thought to enable the encoding and retrieval of ongoing experience, organization that experience into structured representations like contexts, maps, schemas, use these structures plan for future. A central goal understand what core computations supporting functions are, how are realized in collective action single neurons. potential access point this issue provided by ‘splitter cells’, hippocampal neurons fire differentially on overlapping segment trajectories differ their past and/or However, literature splitter cells has been fragmented confusing, owing differences terminology, behavioral tasks, analysis methods across studies. In review, we synthesize consistent findings from literature, establish a common set terms, translate between single-cell ensemble perspectives. Most importantly, examine combined through lens two major theoretical ideas about function: representation temporal context latent state inference. We find unique signature properties each models necessary account data, but neither theory, itself, explains all its features. Specifically, gradedness signal strong support context, hard explain using models, while flexibility task-dependence naturally accounted inference, poses challenge otherwise. These theories suggest number avenues future work, believe application timely informative domain testing refining function.

Язык: Английский

Процитировано

33
Neurodegenerative disease of the brain: a survey of interdisciplinary approaches DOI Creative Commons

Franca Davenport,

John Gallacher, Zoe Kourtzi

и другие.

Journal of The Royal Society Interface, Год журнала: 2023, Номер 20(198)

Опубликована: Янв. 1, 2023

Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with only limited progress made in developing effective therapies over last decade. Interdisciplinary research is improving understanding these this article reviews such approaches, particular emphasis on tools techniques drawn from physics, chemistry, artificial intelligence psychology.

Язык: Английский

Процитировано

33