Deep neural networks and stochastic methods for cognitive modeling of rat behavioral dynamics in $$\mathbb {T}$$-mazes

Cognitive Neurodynamics, Journal Year: 2025, Volume and Issue: 19(1)

Published: April 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.

Language: Английский

---

Hierarchical competing inhibition circuits govern motor stability in C. elegans

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 12, 2025

Language: Английский

---

Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex

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

Published: April 5, 2024

Performance during perceptual decision-making exhibits an inverted-U relationship with arousal, but the underlying network mechanisms remain unclear. Here, we recorded from auditory cortex (A1) of behaving mice passive tone presentation, while tracking arousal via pupillometry. We found that discriminability in A1 ensembles was optimal at intermediate revealing a population-level neural correlate relationship. explained this arousal-dependent coding using spiking model clustered architecture. Specifically, show stimulus is achieved near transition between multi-attractor phase metastable cluster dynamics (low arousal) and single-attractor (high arousal). Additional signatures include arousal-induced reductions overall variability extent stimulus-induced quenching, which observed empirical data. Our results elucidate computational principles interactions pupil-linked sensory processing, variability, suggest role for transitions explaining nonlinear modulations cortical computations.

Language: Английский

---

Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information

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

Published: July 26, 2024

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 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 conclude context-dependent signum computation cortex.

Language: Английский

---

Nonlinear slow-timescale mechanisms in synaptic plasticity

Current Opinion in Neurobiology, Journal Year: 2023, Volume and Issue: 82, P. 102778 - 102778

Published: Aug. 30, 2023

Language: Английский

---

Thoughtful faces: inferring internal states across species using facial features

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

Published: Jan. 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

Language: Английский

---

Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: Feb. 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.

Language: Английский

---

Hierarchical behavior control by a single class of interneurons

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

Published: March 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.

Language: Английский

---

Exploring transgenerational inheritance in epigenotypes of DAT heterozygous rats: Circadian anomalies and attentional vulnerability

Behavioural Brain Research, Journal Year: 2024, Volume and Issue: 464, P. 114921 - 114921

Published: Feb. 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.

Language: Английский

---

Probabilistic modeling reveals coordinated social interaction states and their multisensory bases

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

Published: Aug. 6, 2024

Social behavior across animal species ranges from simple pairwise interactions to thousands of individuals coordinating goal-directed movements. Regardless the scale, these are governed by interplay between multimodal sensory information and internal state each animal. Here, we investigate how animals use multiple modalities guide social in highly zebrafish (

Language: Английский

---