Prioritizing replay when future goals are unknown DOI Creative Commons
Yotam Sagiv, Thomas Akam, Ilana B. Witten

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 4, 2024

Abstract Although hippocampal place cells replay nonlocal trajectories, the computational function of these events remains controversial. One hypothesis, formalized in a prominent reinforcement learning account, holds that plans routes to current goals. However, recent puzzling data appear contradict this perspective by showing replayed destinations lag These results may support an alternative hypothesis updates route information build “cognitive map.” Yet no similar theory exists formalize view, and it is unclear how such map represented or what role plays computing it. We address gaps introducing learns candidate goals, before reward available when its location change. Our work extends planning account capture general map-building for replay, reconciling with data, revealing unexpected relationship between seemingly distinct hypotheses.

Language: Английский

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

et al.

Current Biology, Journal Year: 2022, Volume and Issue: 32(17), P. 3676 - 3689.e5

Published: July 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

Language: Английский

Citations

72
Replay and compositional computation DOI Creative Commons
Zeb Kurth‐Nelson, Timothy E.J. Behrens,

Greg Wayne

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(4), P. 454 - 469

Published: Jan. 13, 2023

Language: Английский

Citations

60
Associative and predictive hippocampal codes support memory-guided behaviors DOI
Can Liu, Ralitsa Todorova, Wenbo Tang

et al.

Science, Journal Year: 2023, Volume and Issue: 382(6668)

Published: Oct. 19, 2023

Episodic memory involves learning and recalling associations between items their spatiotemporal context. Those memories can be further used to generate internal models of the world that enable predictions made. The mechanisms support these associative predictive aspects are not yet understood. In this study, we an optogenetic manipulation perturb sequential structure, but global network dynamics, place cells as rats traversed specific spatial trajectories. This perturbation abolished replay those trajectories development representations, leading impaired new optimal during memory-guided navigation. However, cell assembly reactivation reward-context were unaffected. Our results show a mechanistic dissociation two complementary hippocampal codes: code (through coactivity) sequences).

Language: Английский

Citations

57
Resolving the prefrontal mechanisms of adaptive cognitive behaviors: A cross-species perspective DOI Creative Commons
Ileana L. Hanganu‐Opatz, Thomas Klausberger, Torfi Sigurdsson

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(7), P. 1020 - 1036

Published: April 1, 2023

Language: Английский

Citations

53
Barcoding of episodic memories in the hippocampus of a food-caching bird DOI Open Access
Selmaan N. Chettih, Emily L. Mackevicius, Stephanie Hale

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(8), P. 1922 - 1935.e20

Published: March 29, 2024

Language: Английский

Citations

27
Selection of experience for memory by hippocampal sharp wave ripples DOI
Wannan Yang, Chen Sun, Roman Huszár

et al.

Science, Journal Year: 2024, Volume and Issue: 383(6690), P. 1478 - 1483

Published: March 28, 2024

Experiences need to be tagged during learning for further consolidation. However, neurophysiological mechanisms that select experiences lasting memory are not known. By combining large-scale neural recordings in mice with dimensionality reduction techniques, we observed successive maze traversals were tracked by continuously drifting populations of neurons, providing neuronal signatures both places visited and events encountered. When the brain state changed reward consumption, sharp wave ripples (SPW-Rs) occurred on some trials, their specific spike content decoded trial blocks surrounded them. During postexperience sleep, SPW-Rs continued replay those reactivated most frequently waking SPW-Rs. Replay awake may thus provide a tagging mechanism aspects experience preserved consolidated future use.

Language: Английский

Citations

25
The homogenous hippocampus: How hippocampal cells process available and potential goals DOI Creative Commons
Neil McNaughton, David M. Bannerman

Progress in Neurobiology, Journal Year: 2024, Volume and Issue: 240, P. 102653 - 102653

Published: July 2, 2024

We present here a view of the firing patterns hippocampal cells that is contrary, both functionally and anatomically, to conventional wisdom. argue hippocampus responds efference copies goals encoded elsewhere; it uses these detect resolve conflict or interference between in general. While can involve space, do not encode spatial (or other special types of) memory, as such. also transverse circuits operate an essentially homogeneous way along its length. The apparently different functions parts (e.g. memory retrieval versus anxiety) result from (situational/motivational) inputs on which those perform same fundamental computational operations. On this view, key role iterative adjustment, via Papez-like circuits, synaptic weights cell assemblies elsewhere.

Language: Английский

Citations

25
The time course and organization of hippocampal replay DOI
Caitlin S. Mallory, John Widloski, David J. Foster

et al.

Science, Journal Year: 2025, Volume and Issue: 387(6733), P. 541 - 548

Published: Jan. 30, 2025

The mechanisms by which the brain replays neural activity sequences remain unknown. Recording from large ensembles of hippocampal place cells in freely behaving rats, we observed that replay content is strictly organized over multiple timescales and governed self-avoidance. After movement cessation, avoided animal’s previous path for 3 seconds. Chains self-repetition a shorter timescale. We used continuous attractor model to demonstrate neuronal fatigue both generates produces self-avoidance timescales. In addition, past experience became predominant later into stopping period, manner requiring cortical input. These results indicate mechanism generation unexpectedly constrains can be produced across time.

Language: Английский

Citations

3
The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning DOI
Ivilin Stoianov, Domenico Maisto, Giovanni Pezzulo

et al.

Progress in Neurobiology, Journal Year: 2022, Volume and Issue: 217, P. 102329 - 102329

Published: July 21, 2022

Language: Английский

Citations

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

LF Abbott

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: March 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.

Language: Английский

Citations

41