A Cortico-Striatal Circuit for Sound-Triggered Prediction of Reward Timing DOI Creative Commons
Harini Suri, Karla Salgado-Puga, Yixuan Wang

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Ноя. 21, 2023

A crucial aspect of auditory perception is the ability to use sound cues predict future events and time actions accordingly. For example, distinct smartphone notification sounds reflect a call that needs be answered within few seconds, or text can read later; an approaching vehicle signals when it safe cross street. Other animals similarly plan, execute behaviors such as hunting, evading predation tending offspring. However, neural mechanisms underlie sound-guided prediction upcoming salient event timing are not well understood. To address this gap, we employed appetitive sound-triggered reward behavior in head-fixed mice. We find mice trained on task reliably estimate from cue scale demonstrated by learning-dependent well-timed increases reward-predictive licking. Moreover, showed dramatic impairment their delayed cortex was inactivated, demonstrating its causal involvement. identify neurophysiological signatures cortical reward-timing prediction, recorded local field potentials during learning performance found magnitude responses prospectively encoded duration anticipated sound-reward interval. Next, explored how where these interval propagate initiate consequent action. targeted monosynaptic projections posterior striatum chemogenetic inactivation impairs animal's reward. Simultaneous recordings revealed coordination activity across regions predicting Collectively, our findings cortical-striatal circuit supporting timing-prediction behaviors.

Язык: Английский

Olfactory bulb tracks breathing rhythms and place in freely behaving mice DOI Open Access
Scott C. Sterrett, Teresa M Findley,

Sidney E Rafilson

и другие.

Опубликована: Март 11, 2025

Vertebrates sniff to control the odor samples that enter their nose. These can not only help identify odorous objects, but also locations and events. However, there is no receptor for place or time. Therefore, take full advantage of olfactory information, an animal’s brain must contextualize odor-driven activity with information about when, where, how they sniffed. To better understand contextual in system, we captured breathing movements mice while recording from bulb. In stimulus- task-free experiments, structure into persistent rhythmic states which are synchronous statelike ongoing neuronal population activity. reflect a strong dependence individual neuron on variation frequency, display using “sniff fields” quantify generalized linear models. addition, many bulb neurons have “place significant firing allocentric location, were comparable hippocampal recorded under same conditions. At level, mouse’s location be decoded similar accuracy hippocampus. Olfactory sensitivity cannot explained by rhythms scent marks. Taken together, show mouse tracks self-location, may unite internal models self environment as soon enters brain.

Язык: Английский

Процитировано

0
Adaptive learning via BG-thalamo-cortical circuitry DOI Creative Commons
Qin He, Daniel N. Scott, Michael J. Frank

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

People adjust their use of feedback over time through a process referred to as adaptive learning. We have recently proposed that the underlying mechanisms learning are rooted in how brain organizes into similarly credited units, which we refer latent states. Here develop BG-thalamo-cortical circuit model this and show it captures both commonalities heterogeneity human behavior. Our learns incrementally synaptic plasticity PFC-BG connections, but upon observing discordant information, produces thalamocortical reset signals alter PFC connectivity, driving attractor state transitions facilitate rapid updating behavioral policy. demonstrate mechanism can give rise optimized dynamics context either changepoints or reversals, under reasonable biological assumptions is able generalize efficiently across these conditions, adjusting behavior context-appropriate manner. Taken together, our results provide biologically plausible mechanistic for explains existing data makes testable predictions about computational roles different regions complex behaviors.

Язык: Английский

Процитировано

0
Deep neural networks and stochastic methods for cognitive modeling of rat behavioral dynamics in $$\mathbb {T}$$-mazes DOI Creative Commons
Ali Turab, Josué Antonio Nescolarde‐Selva, Farhan Ullah

и другие.

Cognitive Neurodynamics, Год журнала: 2025, Номер 19(1)

Опубликована: Апрель 25, 2025

Abstract Modeling animal decision-making requires mathematical rigor and computational analysis to capture underlying cognitive mechanisms. This study presents a model for rat behavior in $$\mathbb {T}$$ T -mazes by combining stochastic methods with deep neural architectures. The adapts Wyckoff’s framework, originally grounded Bush’s discrimination learning theory, describe probabilistic transitions between directional choices under reinforcement contingencies. existence uniqueness of solutions are demonstrated via fixed-point theorems, ensuring the formulation is well-posed. asymptotic properties system examined boundary conditions understand convergence decision probabilities across trials. Empirical validation performed using Monte Carlo simulations compare expected trajectories model’s predictive output. dataset comprises spatial trajectory recordings rats navigating toward food rewards controlled experimental protocols. Trajectories preprocessed through statistical filtering, augmented address data imbalance, embedded t-SNE visualize separability behavioral states. A hybrid convolutional-recurrent network (CNN-LSTM) trained on these representations achieves classification accuracy 82.24%, outperforming conventional machine models, including support vector machines random forests. In addition discrete choice prediction, reconstructs continuous paths, enabling full sequence modeling from partial observations. integration dynamics develops basis analyzing behavior. proposed approach contributes models cognition linking observable internal processes navigational tasks.

Язык: Английский

Процитировано

0
Hierarchical competing inhibition circuits govern motor stability in C. elegans DOI Creative Commons
Yongning Zhang,

Y X Shi,

Kanghua Zeng

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Май 12, 2025

Stable movement and efficient motor transition are both crucial for animals to navigate their environments, yet the neural principles underlying these abilities not fully understood. In free-moving Caenorhabditis elegans, sustained forward locomotion is occasionally interrupted by backward movements, which believed result from reciprocal inhibition between interneurons AVB AVA. Here, we discovered that hierarchical competing circuits stabilize spontaneous ensure transition. We found modulatory interneuron PVP activated maintain while inhibiting AVA prevent movement. Another interneuron, DVC activates forms a disinhibition circuit inhibits PVP, thereby relieving PVP's of facilitating Notably, asymmetrical motifs create higher-order likely sharpens also identified cholinergic glutamatergic synaptic mechanisms circuits. This study elucidates key principle controls stability in C. elegans.

Язык: Английский

Процитировано

0
Hormonal regulation of behavioral and emotional persistence: Novel insights from a systems-level approach to neuroendocrinology DOI
Meenakshi M. Asokan, Annegret L. Falkner

Neurobiology of Learning and Memory, Год журнала: 2025, Номер 220, С. 108064 - 108064

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0
Nonlinear slow-timescale mechanisms in synaptic plasticity DOI
Cian O’Donnell

Current Opinion in Neurobiology, Год журнала: 2023, Номер 82, С. 102778 - 102778

Опубликована: Авг. 30, 2023

Язык: Английский

Процитировано

7
Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information DOI Creative Commons
Vahid Rostami,

Thomas Rost,

Felix Johannes Schmitt

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2020, Номер unknown

Опубликована: Фев. 28, 2020

Abstract When preparing a movement, we often rely on partial or incomplete information, which can decrement task performance. In behaving monkeys show that the degree of cued target information is reflected in both, neural variability motor cortex and behavioral reaction times. We study underlying mechanisms spiking motor-cortical attractor model. By introducing novel biologically realistic network topology where excitatory neuron clusters are locally balanced with inhibitory robustly achieve metastable activity across wide range parameters. application to monkey task, model performs target-specific action selection accurately reproduces task-epoch dependent reduction trial-to-trial vivo directly reflects amount processed while irregularity remained constant throughout task. context cue increased time explain times . conclude context-dependent signum computation cortex.

Язык: Английский

Процитировано

18
Thoughtful faces: inferring internal states across species using facial features DOI Creative Commons
Alejandro Tlaie, Muad Abd El Hay,

Berkutay Mert

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Янв. 29, 2024

Animal behaviour is shaped to a large degree by internal cognitive states, but it unknown whether these states are similar across species. To address this question, we developed virtual reality setup in which mice and macaques engage the same naturalistic visual foraging task. We exploited richness of wide range facial features extracted from video recordings during task, train Markov-Switching Linear Regression (MSLR). By doing so, identified, on single-trial basis, set that reliably predicted when animals were going react presented stimuli. Even though model was trained purely reaction times, could also predict task outcome, supporting behavioural relevance inferred states. The identified comparable between monkeys. Furthermore, each state corresponded characteristic pattern features, highlighting importance expressions as manifestations

Язык: Английский

Процитировано

2
Hierarchical behavior control by a single class of interneurons DOI Creative Commons
Jing Huo, Tianqi Xu, Qi Liu

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Март 13, 2023

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 SAA, class interneurons enable cross-communication dorsal ventral head neurons, play dual role shaping dynamics SAA regulate stabilize activity during forward same suppress spontaneous reversals facilitate reversal termination by inhibiting RIM, an integrating neuron helps maintain state. These results suggest feedback lower-level cell assembly higher-level command center essential for bridging at levels.

Язык: Английский

Процитировано

5
Exploring transgenerational inheritance in epigenotypes of DAT heterozygous rats: Circadian anomalies and attentional vulnerability DOI Creative Commons
Concetto Puzzo, Fabiana Festucci, Giuseppe Curcio

и другие.

Behavioural Brain Research, Год журнала: 2024, Номер 464, С. 114921 - 114921

Опубликована: Фев. 24, 2024

Dopamine (DA) is mainly involved in locomotor activity, reward processes and maternal behaviors. Rats with KO gene for dopamine transporter (DAT) coding a truncated DAT protein are hyperdopaminergic conditions develop stereotyped behaviors hyperactivity. Our aim was to test the prior transgenerational modulation of wild allele as expressed heterozygous rats: specifically we addressed possible sequelae due genotype gender ancestors, regard behavioral differences F1, F2, F3 rats. We studied non-classical heterozygotes based on two specular lines, putative grand-maternal vs. grand-paternal imprinting. MAT females (F1; offspring male WT female) mated generate MIX (F2). Specularly, PAT female male) PIX Similarly PAT, obtained MUX (F2; HET sire dam); also observed (MYX: female, thus grandmother like PIX). their circadian activity behavior elevated-plus-maze (EPM). Locomotor hyper-activity occurs opposite MYX rats appearing undistinguishable from ones. Open-arm preference emerged MIX. Only showed significant vulnerability ADHD-like inattentive symptoms (duration rearing EPM; Viggiano et al., 2002). A risk-taking profile evident F2 phenotype while inattentiveness F1 progeny tends be transferred F3. hypothesize that DAT-related phenotypes result effective inheritance through pedigree dependent grandparents, suggesting protective role gestation future dam uterus. For major features, similar odd (F1, F3) generations appear opposed even (F2) ones; minor specific transfer may affect progenies but not DAT-KO ancestor.

Язык: Английский

Процитировано

1