Historical loss weakens competitive behavior by remodeling ventral hippocampal dynamics DOI Creative Commons

Chuan Lai,

Kai Chen, He‐Zhou Huang

et al.

Cell Discovery, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 25, 2025

Abstract Competitive interactions are pervasive within biological populations, where individuals engage in fierce disputes over vital resources for survival. Before the establishment of a social hierarchy population, this competition becomes even more intense. Historical experiences significantly influence competitive performance; with history persistent loss less likely to initiate attacks or win escalated contests. However, it remains unclear how historical directly affects evolution mental processes during and alters responses ongoing events. Here, we utilized naturalistic food paradigm track patterns mutually unfamiliar competitors found that leads reduced performance. By tracking activity ventral hippocampal neuron ensembles, identified clusters neurons responded differently behavioral events competition, their reactivity modulated by previous losses. Using Recurrent Switch Linear Dynamical System (rSLDS), revealed rotational dynamics hippocampus (vHPC) different discrete internal states corresponded strategies. Moreover, modulates behavior remodeling characteristic attributes dynamic system. Finally, an evolutionarily conserved glutamate receptor-associated protein, protein 1 (Grina), plays important role process. continuously monitoring association between system competitiveness, restoring Grina expression effectively reversed impact on Together, our study reveals elucidates underlying mechanisms through which shapes these processes.

Language: Английский

Reconstructing computational system dynamics from neural data with recurrent neural networks DOI
Daniel Durstewitz, Georgia Koppe,

Max Ingo Thurm

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(11), P. 693 - 710

Published: Oct. 4, 2023

Language: Английский

Citations

47
Sexually dimorphic dopaminergic circuits determine sex preference DOI
Anqi Wei,

Anran Zhao,

Chaowen Zheng

et al.

Science, Journal Year: 2025, Volume and Issue: 387(6730)

Published: Jan. 9, 2025

Sociosexual preference is critical for reproduction and survival. However, neural mechanisms encoding social decisions on sex remain unclear. In this study, we show that both male female mice exhibit but shift to when facing survival threats; their mediated by the dimorphic changes in excitability of ventral tegmental area dopaminergic (VTA DA ) neurons. males, VTA projections nucleus accumbens (NAc) mediate preference, those medial preoptic preference. females, firing-pattern (phasic-like versus tonic-like) alteration -NAc projection determines sociosexual preferences. These findings define neurons as a key node decision-making reveal sexually circuit underlying

Language: Английский

Citations

6
Sleep and the hypothalamus DOI
Antoine Adamantidis, Luı́s de Lecea

Science, Journal Year: 2023, Volume and Issue: 382(6669), P. 405 - 412

Published: Oct. 26, 2023

Neural substrates of wakefulness, rapid eye movement sleep (REMS), and non-REMS (NREMS) in the mammalian hypothalamus overlap both anatomically functionally with cellular networks that support physiological behavioral homeostasis. Here, we review roles neurons homeostatic control thermoregulation or goal-oriented behaviors during wakefulness. We address how hypothalamic circuits involved opposing such as core body temperature compute conflicting information provide a coherent vigilance state. Finally, highlight some key unresolved questions challenges, promise more granular view molecular diversity underlying integrative role

Language: Английский

Citations

37
Independent inhibitory control mechanisms for aggressive motivation and action DOI
Tomohito Minakuchi, Eartha Mae Guthman,

Preeta Acharya

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(4), P. 702 - 715

Published: Feb. 12, 2024

Language: Английский

Citations

14
A line attractor encoding a persistent internal state requires neuropeptide signaling DOI Creative Commons
George Mountoufaris, Aditya Nair, Bin Yang

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(21), P. 5998 - 6015.e18

Published: Aug. 26, 2024

Language: Английский

Citations

9
Dynamical constraints on neural population activity DOI Creative Commons
Emily R. Oby, Alan D. Degenhart, Erinn M. Grigsby

et al.

Nature Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

The manner in which neural activity unfolds over time is thought to be central sensory, motor and cognitive functions the brain. Network models have long posited that brain's computations involve courses of are shaped by underlying network. A prediction from this view should difficult violate. We leveraged a brain-computer interface challenge monkeys violate naturally occurring population we observed cortex. This included challenging animals traverse natural course time-reversed manner. Animals were unable when directly challenged do so. These results provide empirical support for brain indeed reflect network-level computational mechanisms they believed implement.

Language: Английский

Citations

1
Attractor dynamics reflect decision confidence in macaque prefrontal cortex DOI
Siyu Wang, Rossella Falcone, Barry J. Richmond

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(11), P. 1970 - 1980

Published: Oct. 5, 2023

Language: Английский

Citations

20
Encoding of female mating dynamics by a hypothalamic line attractor DOI Creative Commons
Mengyu Liu, Aditya Nair, Néstor Coria

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8035), P. 901 - 909

Published: Aug. 14, 2024

Females exhibit complex, dynamic behaviors during mating with variable sexual receptivity depending on hormonal status1–4. However, how their brains encode the dynamics of and remains largely unknown. The ventromedial hypothalamus, ventro-lateral subdivision contains estrogen receptor type 1-positive neurons that control in female mice5,6. Unsupervised dynamical systems analysis calcium imaging data from these uncovered a dimension slow ramping activity, generating line attractor neural state space. Neural perturbations behaving females demonstrated relaxation population activity back into attractor. During integrated male cues to ramp up along this attractor, peaking just before ejaculation. Activity was positively correlated degree receptivity. Longitudinal revealed appear disappear across estrus cycle are hormone-dependent. These observations suggest hypothalamic encodes persistent, escalating arousal or drive mating. They also demonstrate attractors can be reversibly modulated by status, timescale days.

Language: Английский

Citations

8
Switching state-space modeling of neural signal dynamics DOI Creative Commons
Mingjian He, Proloy Das, Gladia Hotan

et al.

PLoS Computational Biology, Journal Year: 2023, Volume and Issue: 19(8), P. e1011395 - e1011395

Published: Aug. 28, 2023

Linear parametric state-space models are a ubiquitous tool for analyzing neural time series data, providing way to characterize the underlying brain dynamics with much greater statistical efficiency than non-parametric data analysis approaches. However, frequently time-varying, exhibiting rapid changes in dynamics, transient activity that is often key feature of interest data. Stationary methods can be adapted time-varying scenarios by employing fixed-duration windows under an assumption quasi-stationarity. But explicitly modeled switching models, i.e., using pool different selected probabilistic process. Unfortunately, exact solutions state inference and parameter learning intractable. Here we revisit model approach first proposed Ghahramani Hinton. We provide explicit derivations solving problem iteratively after applying variational approximation on joint posterior hidden states introduce novel initialization procedure efficient leave-one-out strategy compare among candidate which significantly improves performance compared existing method relies deterministic annealing. then utilize this solution within generalized expectation-maximization algorithm estimate parameters process linear potentially shared models. perform extensive simulations settings benchmark against further validate robustness our outside generative class. Finally, demonstrate utility sleep spindle detection real recordings, showing how used detect extract spindles from human electroencephalograms unsupervised manner.

Language: Английский

Citations

14
Hierarchical behavior control by a single class of interneurons DOI Creative Commons
Jing Huo, Tianqi Xu, Qi Liu

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(47)

Published: Nov. 12, 2024

Animal behavior is organized into nested temporal patterns that span multiple timescales. This hierarchy believed to arise from a hierarchical neural architecture: Neurons near the top of are involved in planning, selecting, initiating, and maintaining motor programs, whereas those bottom act concert produce fine spatiotemporal activity. In Caenorhabditis elegans , on long timescale emerges ordered flexible transitions between different behavioral states, such as forward, reversal, turn. On short timescale, parts animal body coordinate fast rhythmic bending sequences directional movements. Here, we show Sublateral Anterior A (SAA), class interneurons enable cross-communication dorsal ventral head neurons, play dual role shaping dynamics SAA regulate stabilize activity during forward same neurons suppress spontaneous reversals facilitate reversal termination by inhibiting Ring Interneuron M (RIM), an integrating neuron helps maintain state. These results suggest feedback lower-level cell assembly higher-level command center essential for bridging at levels.

Language: Английский

Citations

5