Learning of object-in-context sequences in freely-moving macaques DOI Creative Commons
Saman Abbaspoor, Kaleel Rahman, Wolf Zinke

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 12, 2023

ABSTRACT Flexible learning is a hallmark of primate cognition, which arises through interactions with changing environments. Studies the neural basis for this flexibility are typically limited by laboratory settings that use minimal environmental cues and restrict environment, including active sensing exploration. To address this, we constructed 3-D enclosure containing touchscreens on its walls, studying cognition in freely moving macaques. test flexible learning, two monkeys completed trials consisting regular sequence object selections across four touchscreens. On each screen, had to select touching sole correct item (‘target’) among set items, irrespective their positions screen. Each was target exactly one screen sequence, making performance conditioned spatiotemporal rule screens. Both successfully learned multiple 4-item sets (N=14 22 sets), totaling over 50 80 unique, conditional item-context memoranda, no indication capacity limits. The allowed freedom movements leading up following touchscreen interactions. determine whether movement economy changed reconstructed 3D position dynamics using markerless tracking software gyroscopic inertial measurements. Whereas general body remained consistent repeated sequences, fine head varied as learned, within sets, demonstrating or “learning learn”. These results demonstrate monkeys’ rapid, capacious, an integrated, multisensory space. Furthermore, approach enables measurement continuous behavior while ensuring precise experimental control behavioral repetition sequences time. Overall, harmonizes design features needed electrophysiological studies tasks showcase fully situated, cognition.

Language: Английский

Neuroethology of natural actions in freely moving monkeys DOI

Francesca Lanzarini,

Monica Maranesi,

Elena Hilary Rondoni

et al.

Science, Journal Year: 2025, Volume and Issue: 387(6730), P. 214 - 220

Published: Jan. 9, 2025

The current understanding of primate natural action organization derives from laboratory experiments in restrained contexts (RCs) under the assumption that this knowledge generalizes to freely moving (FMCs). In work, we developed a neurobehavioral platform enable wireless recording same premotor neurons both RCs and FMCs. Neurons often encoded hand mouth actions differently Furthermore, FMCs, identified cells selectively untestable during others displayed mixed selectivity for multiple actions, which is compatible with an based on cortical motor synergies at different levels complexity. Cross-context decoding demonstrated neural activity FMCs richer more generalizable than RCs, suggests neuroethological approaches are better suited unveil bases behavior.

Language: Английский

Citations

3
A-SOiD, an active-learning platform for expert-guided, data-efficient discovery of behavior DOI
Jens F. Tillmann, Alexander Hsu, Martin K. Schwarz

et al.

Nature Methods, Journal Year: 2024, Volume and Issue: 21(4), P. 703 - 711

Published: Feb. 21, 2024

Language: Английский

Citations

16
Toward a neuroscience of natural behavior DOI Creative Commons
Paul Cisek, Andrea M. Green

Current Opinion in Neurobiology, Journal Year: 2024, Volume and Issue: 86, P. 102859 - 102859

Published: April 6, 2024

One of the most exciting new developments in systems neuroscience is progress being made toward neurophysiological experiments that move beyond simplified laboratory settings and address richness natural behavior. This enabled by technological advances such as wireless recording freely moving animals, automated quantification behavior, methods for analyzing large data sets. Beyond empirical data, however, there also a need theories concepts to interpret data. Such particular challenges which often differ significantly from scenarios studied traditional settings. Here, we discuss some strategies developing novel example hypotheses proposed.

Language: Английский

Citations

16
Neural timescales reflect behavioral demands in freely moving rhesus macaques DOI Creative Commons
Ana M.G. Manea, David J.-N. Maisson, Benjamin Voloh

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 9, 2024

Previous work demonstrated a highly reproducible cortical hierarchy of neural timescales at rest, with sensory areas displaying fast, and higher-order association slower timescales. The question arises how such stable hierarchies give rise to adaptive behavior that requires flexible adjustment temporal coding integration demands. Potentially, this lack variability in the hierarchical organization could reflect structure laboratory contexts. We posit unconstrained paradigms are ideal test whether dynamics behavioral Here we measured local field potential activity while male rhesus macaques foraged an open space. found differs from previous work. Importantly, although magnitude expanded task engagement, brain areas' relative position was stable. Next, change is dynamic contains functionally-relevant information, differentiating between similar events terms motor demands associated reward. Finally, differentially affected by these These results demonstrate space anatomically constrained, observed dependent on

Language: Английский

Citations

11
Population coding of strategic variables during foraging in freely moving macaques DOI Creative Commons
Neda Shahidi, Melissa Franch,

Arun Parajuli

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(4), P. 772 - 781

Published: March 5, 2024

Abstract Until now, it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based tasks. Here we allowed unrestrained monkeys freely interact with concurrent reward options while wirelessly recorded population activity dorsolateral prefrontal cortex. The decided when and where forage based whether their prediction was fulfilled or violated. This not solely a history delivery, but also understanding that waiting longer improves chance reward. task variables were continuously represented subspace high-dimensional activity, this compressed representation predicted animal’s subsequent choices better than true as well raw activity. Our results indicate monkeys’ strategies are cortical model dynamics explore environment.

Language: Английский

Citations

9
Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control DOI Creative Commons
Michael Freund, Ruiqi Chen, Gang Chen

et al.

Imaging Neuroscience, Journal Year: 2025, Volume and Issue: 3

Published: Jan. 1, 2025

Abstract Understanding individual differences in cognitive control is a central goal psychology and neuroscience. Reliably measuring these differences, however, has proven extremely challenging, at least when using standard measures neuroscience such as response times or task-based fMRI activity. While prior work pinpointed the source of issue—the vast amount cross-trial variability within measures—solutions remain elusive. Here, we propose one potential way forward: an analytic framework that combines hierarchical Bayesian modeling with multivariate decoding trial-level data. Using this longitudinal data from Dual Mechanisms Cognitive Control project, estimated individuals’ neural responses associated color-word Stroop task, then assessed reliability across time interval several months. We show many prefrontal parietal brain regions, test–retest was near maximal, only models were able to reveal state affairs. Further, compared traditional univariate contrasts, enabled individual-level correlations be significantly greater precision. specifically link improvements precision optimized suppression decoding. Together, findings not indicate control-related individuate people highly stable manner time, but also suggest integrating provides powerful approach for investigating control, can effectively address issue high-variability measures.

Language: Английский

Citations

1
Ethological computational psychiatry: Challenges and opportunities DOI Creative Commons
Ilya E. Monosov, Jan Zimmermann, Michael J. Frank

et al.

Current Opinion in Neurobiology, Journal Year: 2024, Volume and Issue: 86, P. 102881 - 102881

Published: May 1, 2024

Studying the intricacies of individual subjects' moods and cognitive processing over extended periods time presents a formidable challenge in medicine. While much systems neuroscience appropriately focuses on link between neural circuit functions well-constrained behaviors short timescales (e.g., trials, hours), many mental health conditions involve complex interactions mood cognition that are non-stationary across behavioral contexts evolve timescales. Here, we discuss opportunities, challenges, possible future directions computational psychiatry to quantify continuously monitored behaviors. We suggest this exploratory effort may contribute more precision-based approach treating disorders facilitate robust reverse translation animal species. conclude with ethical considerations for any field aims bridge artificial intelligence patient monitoring.

Language: Английский

Citations

5
Representing the dynamics of natural marmoset vocal behaviors in frontal cortex DOI Creative Commons

Jingwen Li,

Mikio Aoi, Cory T. Miller

et al.

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

Published: March 17, 2024

Here we tested the respective contributions of primate premotor and prefrontal cortex to support vocal behavior. We applied a model-based GLM analysis that better accounts for inherent variance in natural, continuous behaviors characterize activity neurons throughout frontal as freely-moving marmosets engaged conversational exchanges. While analyses revealed functional clusters neural related different processes involved behavior, these did not map subfields or cortex, has been observed more conventional task-based paradigms. Our results suggest distributed organization myriad mechanisms underlying natural social interactions implications our concepts role plays governing ethological primates.

Language: Английский

Citations

4
Neural representation of action symbols in primate frontal cortex DOI Creative Commons
Lucas Y Tian,

Kedar U. Garzón,

Adam G. Rouse

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Abstract At the core of intelligence is proficiency in solving new problems, including those that differ dramatically from problems seen before. Problem-solving, turn, depends on goal-directed generation novel thoughts and behaviors 1 , which has been proposed to rely internal representations discrete units, or symbols, processes can recombine them into a large set possible composite 1–11 . Although this view influential formulating cognitive-level explanations behavior, definitive evidence for neuronal substrate symbols remained elusive. Here, we identify neural population encoding action symbols—internal, recombinable units motor behavior—localized specific area frontal cortex. In macaque monkeys performing drawing-like task designed assess recombination learned sequences, found behavioral three critical features indicate actions have an underlying symbolic representation: (i) invariance over low-level parameters; (ii) categorical structure, reflecting classes action; (iii) sequences. simultaneous recordings across motor, premotor, prefrontal cortex, planning-related activity ventral premotor cortex encodes manner that, like reflects invariance, recombination, properties indicating representation. Activity no other recorded exhibited combination properties. These findings reveal representation localized PMv, therefore putative cognitive operations.

Language: Английский

Citations

0
Representing the dynamics of natural marmoset vocal behaviors in frontal cortex DOI Creative Commons

Jingwen Li,

Mikio Aoi, Cory T. Miller

et al.

Neuron, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

3