Rat hippocampal CA1 region represents learning-related action and reward events with shorter latency than the lateral entorhinal cortex DOI Creative Commons
Shogo Soma, Shinya Ohara, Satoshi Nonomura

и другие.

Communications Biology, Год журнала: 2023, Номер 6(1)

Опубликована: Май 31, 2023

Abstract The hippocampus and entorhinal cortex are deeply involved in learning memory. However, little is known how ongoing events processed the hippocampal-entorhinal circuit. By recording from head-fixed rats during action-reward learning, here we show that action reward represented differently hippocampal CA1 region lateral (LEC). Although diverse task-related activities developed after both LEC, phasic related to differed timing of behavioral event representation. almost instantaneously, whereas superficial deep layers LEC showed a delayed representation same events. Interestingly, also found ramping activity towards spontaneous was correlated with waiting time regions exceeded motor cortex. Such functional observed entorhinal-hippocampal circuits may play crucial role for animals utilizing information dynamically optimize their behaviors.

Язык: Английский

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
Assessing cognitive decline in the aging brain: lessons from rodent and human studies DOI Creative Commons
David V.C. Brito, Filipa Esteves, Ana Teresa Rajado

и другие.

npj Aging, Год журнала: 2023, Номер 9(1)

Опубликована: Окт. 19, 2023

Abstract As life expectancy continues to increase worldwide, age-related dysfunction will largely impact our societies in the future. Aging is well established promote deterioration of cognitive function and primary risk factor for development prevalent neurological disorders. Even absence dementia, decline impacts specific types memories brain structures humans animal models. Despite this, preclinical clinical studies that investigate changes physiology often use different methods, which hinders translational potential findings. This review seeks integrate what known about with analogue tests used rodent studies, ranging from “pen paper” virtual-reality-based paradigms. Finally, we draw parallels between behavior paradigms research compared enrollment into trials aim study decline.

Язык: Английский

Процитировано

74
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
Rapid learning of predictive maps with STDP and theta phase precession DOI Creative Commons
Tom M George, William de Cothi, Kimberly Stachenfeld

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Март 16, 2023

The predictive map hypothesis is a promising candidate principle for hippocampal function. A favoured formalisation of this hypothesis, called the successor representation, proposes that each place cell encodes expected state occupancy its target location in near future. This framework supported by behavioural as well electrophysiological evidence and has desirable consequences both generalisability efficiency reinforcement learning algorithms. However, it unclear how representation might be learnt brain. Error-driven temporal difference learning, commonly used to learn representations artificial agents, not known implemented networks. Instead, we demonstrate spike-timing dependent plasticity (STDP), form Hebbian acting on temporally compressed trajectories 'theta sweeps', sufficient rapidly close approximation representation. model biologically plausible - uses spiking neurons modulated theta-band oscillations, diffuse overlapping cell-like representations, experimentally matched parameters. We show maps onto aspects circuitry explains substantial variance matrix, consequently giving rise cells observed representation-related phenomena including backwards expansion 1D track elongation walls 2D. Finally, our provides insight into topographical ordering field sizes along dorsal-ventral axis showing necessary prevent detrimental mixing larger fields, which encode longer timescale with more fine-grained predictions spatial location.

Язык: Английский

Процитировано

40
Hippocampal place cells encode global location but not connectivity in a complex space DOI Creative Commons
Éléonore Duvelle, Roddy M. Grieves,

Anyi Liu

и другие.

Current Biology, Год журнала: 2021, Номер 31(6), С. 1221 - 1233.e9

Опубликована: Фев. 15, 2021

Flexible navigation relies on a cognitive map of space, thought to be implemented by hippocampal place cells: neurons that exhibit location-specific firing. In connected environments, optimal requires keeping track one's location and the available connections between subspaces. We examined whether dorsal CA1 cells rats encode environmental connectivity in four geometrically identical boxes arranged square. Rats moved pushing saloon-type doors could locked one or both directions. Although demonstrated knowledge connectivity, their did not respond changes, nor they represent doorways differently from other locations. Place coded global reference frame, with different for each box minimal repetitive fields despite geometry. These results suggest provide spatial does explicitly include connectivity.

Язык: Английский

Процитировано

45
Wayfinding across ocean and tundra: what traditional cultures teach us about navigation DOI Creative Commons

Pablo Fernandez-Velasco,

Hugo J. Spiers

Trends in Cognitive Sciences, Год журнала: 2023, Номер 28(1), С. 56 - 71

Опубликована: Окт. 3, 2023

Research on human navigation by psychologists and neuroscientists has come mainly from a limited range of environments participants inhabiting western countries. By contrast, numerous anthropological accounts illustrate the diverse ways in which cultures adapt to their surrounding environment navigate. Here, we provide an overview these studies relate them cognitive science research. The diversity cues traditional is much higher multimodal compared with experiments laboratory. It typically involves integrated system methods, drawing detailed understanding environmental cues, specific tools, forms part broader cultural system. We highlight recent methodological developments for measuring skill modelling behaviour that will aid future research into how culture shape navigation.

Язык: Английский

Процитировано

20
Entropy and a sub-group of geometric measures of paths predict the navigability of an environment DOI Creative Commons
Demet Yeşiltepe, Pablo Fernández Velasco, Antoine Coutrot

и другие.

Cognition, Год журнала: 2023, Номер 236, С. 105443 - 105443

Опубликована: Март 29, 2023

Язык: Английский

Процитировано

19
Centering cognitive neuroscience on task demands and generalization DOI
Matthias Nau, Alexandra C. Schmid, Simon M. Kaplan

и другие.

Nature Neuroscience, Год журнала: 2024, Номер 27(9), С. 1656 - 1667

Опубликована: Июль 29, 2024

Язык: Английский

Процитировано

8
Rhythms of human attention and memory: An embedded process perspective DOI Creative Commons
Moritz Köster, Thomas Gruber

Frontiers in Human Neuroscience, Год журнала: 2022, Номер 16

Опубликована: Окт. 5, 2022

It remains a dogma in cognitive neuroscience to separate human attention and memory into distinct modules processes. Here we propose that brain rhythms reflect the embedded nature of these processes brain, as evident from their shared neural signatures: gamma oscillations (30–90 Hz) sensory information processing activated representations (memory items). The theta rhythm (3–8 is pacemaker explicit control (central executive), structuring processing, bit by bit, reflected theta-gamma code. By representing items sequential time-compressed manner code hypothesized solve key problems computation: (1) attentional sampling (integrating segregating processing), (2) mnemonic updating (implementing Hebbian learning), (3) predictive coding (advancing ahead real time guide behavior). In this framework, reduced alpha (8–14 semantic networks, involved both implicit Linking recent theoretical accounts empirical insights on embedded-process model advances our understanding integrated – bedrock cognition.

Язык: Английский

Процитировано

26
Learning produces a hippocampal cognitive map in the form of an orthogonalized state machine DOI Creative Commons
Weinan Sun, Johan Winnubst, Maanasa Natrajan

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Авг. 6, 2023

ABSTRACT Cognitive maps confer animals with flexible intelligence by representing spatial, temporal, and abstract relationships that can be used to shape thought, planning, behavior. have been observed in the hippocampus, but their algorithmic form processes which they are learned remain obscure. Here, we employed large-scale, longitudinal two-photon calcium imaging record activity from thousands of neurons CA1 region hippocampus while mice efficiently collect rewards two subtly different versions linear tracks virtual reality. The results provide a detailed view formation cognitive map hippocampus. Throughout learning, both animal behavior hippocampal neural progressed through multiple intermediate stages, gradually revealing improved task representation mirrored behavioral efficiency. learning process led progressive decorrelations initially similar within across tracks, ultimately resulting orthogonalized representations resembling state machine capturing inherent structure task. We show Hidden Markov Model (HMM) biologically plausible recurrent network trained using Hebbian capture core aspects dynamics representational activity. In contrast, gradient-based sequence models such as Long Short-Term Memory networks (LSTMs) Transformers do not naturally produce representations. further demonstrate exhibited adaptive novel settings, reflecting deployment machine. These findings shed light on mathematical maps, rules sculpt them, algorithms promote animals. work thus charts course toward deeper understanding biological offers insights developing more robust artificial intelligence.

Язык: Английский

Процитировано

16