Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling DOI Creative Commons
Tony Zhang, Matthew Rosenberg, Zeyu Jing

et al.

eLife, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 29, 2024

An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose neural algorithm that can solve all these problems operates reliably in diverse complex environments. At its core, mechanism makes use of behavioral module common to motile animals, namely ability follow an odor source. We show how brain learn generate internal “virtual odors” guide any location interest. This endotaxis be implemented with simple 3-layer circuit using only biologically realistic structures learning rules. Several components this scheme are found brains from insects humans. Nature may have evolved general search navigation on ancient backbone chemotaxis.

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

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

Lateral entorhinal cortex subpopulations represent experiential epochs surrounding reward DOI
John B. Issa,

Brad A. Radvansky,

Xuan Feng

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(3), P. 536 - 546

Published: Jan. 25, 2024

Language: Английский

Citations

18

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

et al.

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

Published: Jan. 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.

Language: Английский

Citations

33

A goal-centric outlook on learning DOI Creative Commons
Gaia Molinaro, Anne Collins

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(12), P. 1150 - 1164

Published: Sept. 9, 2023

Language: Английский

Citations

30

Neural representation in active inference: Using generative models to interact with—and understand—the lived world DOI
Giovanni Pezzulo, Leo D’Amato, Francesco Mannella

et al.

Annals of the New York Academy of Sciences, Journal Year: 2024, Volume and Issue: 1534(1), P. 45 - 68

Published: March 25, 2024

Abstract This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ generative models to minimize discrepancy between predictions and observations (as scored with variational free energy). The ensuing analysis suggests that learns navigate world adaptively, not (or solely) understand it. Different may possess an array models, spanning from those support action‐perception cycles underwrite planning imagination; namely, explicit entail variables predicting concurrent sensations, like objects, faces, or people—to action‐oriented predict action outcomes. then elucidates belief dynamics might link implications different types agent's cognitive capabilities in relation its ecological niche. concludes open questions regarding evolution development advanced abilities—and gradual transition pragmatic detached representations. on offer foregrounds diverse roles play processes representation.

Language: Английский

Citations

12

Expert navigators deploy rational complexity–based decision precaching for large-scale real-world planning DOI Creative Commons
Pablo Fernández Velasco, Eva‐Maria Griesbauer, Iva K. Brunec

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(4)

Published: Jan. 23, 2025

Efficient planning is a distinctive hallmark of intelligence in humans, who routinely make rapid inferences over complex world contexts. However, studies investigating how humans accomplish this tend to focus on naive participants engaged simplistic tasks with small state spaces, which do not reflect the intricacy, ecological validity, and human specialization real-world planning. In study, we examine street-by-street route London taxi drivers navigating across more than 26,000 streets (United Kingdom). We explore unfolded dynamically different phases journey construction identify theoretic principles by these expert planners rationally precache decisions at prioritized environment states an early phase process. particular, find that measures path complexity predict mental sampling prioritization dynamics independent alternative derived from real spatial context being navigated. Our data provide evidence for complexity-driven remote access within internal models precaching during very large structured spaces.

Language: Английский

Citations

1

Neural representation of goal direction in the monarch butterfly brain DOI Creative Commons
M. Jerome Beetz, Christian Kraus, Basil el Jundi

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 20, 2023

Neural processing of a desired moving direction requires the continuous comparison between current heading and goal direction. While neural basis underlying is well-studied, coding remains unclear in insects. Here, we used tetrode recordings tethered flying monarch butterflies to unravel how represented insect brain. recording, maintained robust directions relative virtual sun. By resetting their directions, found neurons whose spatial tuning was tightly linked directions. Importantly, unaffected when changed after compass perturbations, showing that these specifically encode Overall, here discovered invertebrate goal-direction share functional similarities cells reported mammals. Our results give insights into evolutionarily conserved principles goal-directed orientation animals.

Language: Английский

Citations

23

Goal-seeking compresses neural codes for space in the human hippocampus and orbitofrontal cortex DOI Creative Commons
Paul S. Muhle-Karbe, Hannah Sheahan, Giovanni Pezzulo

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(23), P. 3885 - 3899.e6

Published: Sept. 18, 2023

Humans can navigate flexibly to meet their goals. Here, we asked how the neural representation of allocentric space is distorted by goal-directed behavior. Participants navigated an agent two successive goal locations in a grid world environment comprising four interlinked rooms, with contextual cue indicating conditional dependence one location on another. Examining geometry which room and context were encoded fMRI signals, found that map-like representations emerged both hippocampus neocortex. Cognitive maps orbitofrontal cortices compressed so cued as goals coded together state space, these distortions predicted successful learning. This effect was captured computational model current prospective are jointly place code, providing theory warp macroscopic signals.

Language: Английский

Citations

22

Representational integration and differentiation in the human hippocampus following goal-directed navigation DOI Creative Commons
Corey Fernandez, Jiefeng Jiang, Shao-Fang Wang

et al.

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

Published: Feb. 14, 2023

As we learn, dynamic memory processes build structured knowledge across our experiences. Such enables the formation of internal models world that use to plan, make decisions, and act. Recent theorizing posits mnemonic mechanisms differentiation integration – which at one level may seem be odds both contribute emergence knowledge. We tested this possibility using fMRI as human participants learned navigate within local global virtual environments over course 3 days. Pattern similarity analyses on entorhinal cortical hippocampal patterns revealed evidence work concurrently environmental representations, variability in relates differences navigation efficiency. These results offer new insights into neural machinery underlying translate experiences allows us achieve goals.

Language: Английский

Citations

21