Hippocampal coding of identity, sex, hierarchy, and affiliation in a social group of wild fruit bats

Science, Год журнала: 2025, Номер 387(6733)

Опубликована: Янв. 30, 2025

Social animals live in groups and interact volitionally complex ways. However, little is known about neural responses under such natural conditions. Here, we investigated hippocampal CA1 neurons a mixed-sex group of five to 10 freely behaving wild Egyptian fruit bats that lived continuously laboratory-based cave formed stable social network. In-flight, most place cells were socially modulated represented the identity sex conspecifics. Upon interactions, specific interaction types. During active observation, encoded bat’s own position head direction, together with position, multiple Identity-coding same bat across contexts. The strength coding was by sex, hierarchy, affiliation. Thus, form multidimensional sociospatial representation world.

Язык: Английский

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Hippocampal neuronal activity is aligned with action plans

Nature, Год журнала: 2025, Номер 639(8053), С. 153 - 161

Опубликована: Янв. 8, 2025

Язык: Английский

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Computational cross‐species views of the hippocampal formation

Hippocampus, Год журнала: 2023, Номер 33(5), С. 586 - 599

Опубликована: Апрель 11, 2023

Abstract The discovery of place cells and head direction in the hippocampal formation freely foraging rodents has led to an emphasis its role encoding allocentric spatial relationships. In contrast, studies head‐fixed primates have additionally found representations views. We review recent experiments moving monkeys that expand upon these findings show postural variables such as eye/head movements strongly influence neural activity formation, suggesting function hippocampus depends on where animal looks. interpret results light humans performing challenging navigation tasks which suggest depending context, serve one two roles—gathering information about structure environment (active sensing) or externalizing contents internal beliefs/deliberation (embodied cognition). These prompt future experimental investigations into carried by signals flowing between brain regions controlling variables, constitute a basis for updating computational theories system accommodate movements.

Язык: Английский

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Causal inference during closed-loop navigation: parsing of self- and object-motion

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2023, Номер 378(1886)

Опубликована: Авг. 7, 2023

A key computation in building adaptive internal models of the external world is to ascribe sensory signals their likely cause(s), a process causal inference (CI). CI well studied within framework two-alternative forced-choice tasks, but less understood cadre naturalistic action-perception loops. Here, we examine disambiguating retinal motion caused by self- and/or object-motion during closed-loop navigation. First, derive normative account specifying how observers ought intercept hidden and moving targets given belief about (i) whether was target moving, (ii) if so, with what velocity. Next, line modelling results, show that humans report as stationary steer towards initial rather than final position more often when they are themselves suggesting putative misattribution self. Further, predict should misattribute often: passive active self-motion (given lack an efference copy informing estimates former), presented eccentrically centrally lateral flow vectors larger at eccentric locations forward self-motion). Results support both these predictions. Lastly, analysis eye movements that, while saccades toward were largely accurate regardless condition, subsequent gaze pursuit modulated velocity object-only motion, not concurrent object- self-motion. These results demonstrate loops, suggest protracted temporal unfolding computations characterizing CI. This article part theme issue 'Decision control processes multisensory perception'.

Язык: Английский

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Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation

eLife, Год журнала: 2022, Номер 11

Опубликована: Окт. 25, 2022

We do not understand how neural nodes operate and coordinate within the recurrent action-perception loops that characterize naturalistic self-environment interactions. Here, we record single-unit spiking activity local field potentials (LFPs) simultaneously from dorsomedial superior temporal area (MSTd), parietal 7a, dorsolateral prefrontal cortex (dlPFC) as monkeys navigate in virtual reality to ‘catch fireflies’. This task requires animals actively sample a closed-loop environment while concurrently computing continuous latent variables: (i) distance angle travelled (i.e., path integration) (ii) memorized firefly location hidden spatial goal). observed patterned mixed selectivity, with most prominently coding for variables, sensorimotor MSTd often eye movements. However, even traditionally considered sensory MSTd) tracked demonstrating integration vector of goals. Further, global encoding profiles unit-to-unit coupling noise correlations) suggested functional subnetwork composed by dlPFC, between these anatomy would suggest. show greater more animals’ gaze position was indicative ongoing goal. suggest this MSTd-dlPFC reflects monkeys’ natural adaptive strategy wherein they continuously toward (invisible) target. Together, results highlight distributed nature during closed fine-grain subnetworks may be dynamically established subserve (embodied) strategies.

Язык: Английский

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Brain mechanism of foraging: Reward-dependent synaptic plasticity versus neural integration of values

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(14)

Опубликована: Март 29, 2024

During foraging behavior, action values are persistently encoded in neural activity and updated depending on the history of choice outcomes. What is mechanism for value maintenance updating? Here, we explore two contrasting network models: synaptic learning versus integration. We show that both models can reproduce extant experimental data, but they yield distinct predictions about underlying biological circuits. In particular, integrator model not requires reward signals mediated by pools selective alternatives their projections aligned with linear attractor axes valuation system. demonstrate experimentally observable dynamical signatures feasible perturbations to differentiate scenarios, suggesting a more robust candidate mechanism. Overall, this work provides modeling framework guide future research probabilistic foraging.

Язык: Английский

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Inductive biases of neural network modularity in spatial navigation

Science Advances, Год журнала: 2024, Номер 10(29)

Опубликована: Июль 19, 2024

The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize this enables better learning and generalization than architectures less modules. To test this, we trained reinforcement agents various neural on naturalistic navigation task. found agent, an segregates computations of state representation, value, action into modules, achieved generalization. Its learned representation combines prediction observation, weighted by their relative uncertainty, akin to recursive Bayesian estimation. This agent’s behavior also resembles macaques’ more closely. Our results shed light possible rationale brain’s modularity suggest artificial systems can use insight from neuroscience improve in natural tasks.

Язык: Английский

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A common computational and neural anomaly across mouse models of autism

Nature Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Июнь 3, 2025

Язык: Английский

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Cortico-spinal modularity in the parieto-frontal system: A new perspective on action control

Progress in Neurobiology, Год журнала: 2023, Номер 231, С. 102537 - 102537

Опубликована: Окт. 12, 2023

Classical neurophysiology suggests that the motor cortex (MI) has a unique role in action control. In contrast, this review presents evidence for multiple parieto-frontal spinal command modules can bypass MI. Five observations support modular perspective: (i) statistics of cortical connectivity demonstrate functionally-related clusters areas, defining functional premotor, cingulate, and parietal cortices; (ii) different corticospinal pathways originate from above each with distinct range conduction velocities; (iii) activation time module varies depending on task, be activated simultaneously; (iv) architecture direct output is faster less metabolically expensive than an relies MI, given slow connections between MI other areas; (v) lesions areas composing have effects Here we provide examples six cortico-spinal functions they subserve: 1) arm reaching, tool use object construction; 2) spatial navigation locomotion; 3) grasping observation hand mouth actions; 4) initiation, sequences, encoding; 5) conditional association learning, plan switching inhibition; 6) planning defensive actions. These serve as library tools to recombined when faced novel tasks, might recombinatory hub. conclusion, availability locally-stored information outflow paths supports physiological plausibility proposed perspective.

Язык: Английский

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Making Sense of the Multiplicity and Dynamics of Navigational Codes in the Brain

Journal of Neuroscience, Год журнала: 2022, Номер 42(45), С. 8450 - 8459

Опубликована: Ноя. 9, 2022

Since the discovery of conspicuously spatially tuned neurons in hippocampal formation over 50 years ago, characterizing which, where, and how encode navigationally relevant variables has been a major thrust navigational neuroscience. While much this effort centered on functionally-adjacent structures, recent work suggests that spatial codes, some form or another, can be found throughout brain, even areas traditionally associated with sensation, movement, executive function. In review, we highlight these unexpected results, draw insights from comparison codes across contexts, regions, species, finally suggest an avenue for future to make sense diverse dynamic codes.

Язык: Английский

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