Detection of latent brain states from baseline neural activity in the amygdala DOI Creative Commons

Alexa Aucoin,

Kevin K. Lin, Katalin M. Gothard

et al.

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

Published: June 14, 2024

Abstract The amygdala responds to a large variety of socially and emotionally salient environmental interoceptive stimuli. context in which these stimuli occur determines their social emotional significance. In canonical neurophysiological studies, the fast-paced succession events induce phasic changes neural activity. During inter-trial intervals activity is expected return stable relatively featureless baseline. Context, such as presence partner, or similarity trials blocked design, induces brain states that can transcend be recovered from baseline firing rate neurons. Indeed, rates neurons change between blocks gentle grooming touch, delivered by trusted non-social airflow stimuli, computer-controlled air valve. this experimental paradigm, groomer alone was sufficient small but significant rates. Here, we examine local field potentials (LFP) recorded during periods determine whether encoded network dynamics emerge ensembles We found machine learning techniques reliably decode vs. spectrograms potentials. Notably, decoding accuracy improved significantly with access broad-band information. No differences were detected nuclei receive direct indirect inputs areas prefrontal cortex known coordinate flexible, context-dependent behaviors. lack nuclear specificity suggests context-related synaptic arise shared source, possibly signal sympathetic- parasympathetic-dominated characterizing blocks, respectively.

Language: Английский

Detection of latent brain states from spontaneous neural activity in the amygdala DOI Creative Commons

Alexa Aucoin,

Kevin K. Lin, Katalin M. Gothard

et al.

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(2), P. e1012247 - e1012247

Published: Feb. 13, 2025

The amygdala responds to a large variety of socially and emotionally salient environmental interoceptive stimuli. context in which these stimuli occur determines their social emotional significance. In canonical neurophysiological studies, the fast-paced succession events induce phasic changes neural activity. During inter-trial intervals, activity is expected return stable featureless level spontaneous activity, often called baseline. previous studies we found that context, such as presence partner, induces brain states can transcend be recovered from spontaneous, firing rate neurons. Indeed, rates neurons are different during blocks gentle grooming touches delivered by trusted non-social airflow computer-controlled air valve. Here, examine local field potentials (LFPs) recorded periods determine whether information about extracted signals. We vs. present potential between application stimuli, machine learning techniques reliably decode spectrograms LFPs. No significant differences were detected nuclei receive direct or indirect inputs areas prefrontal cortex known coordinate flexible, context-dependent behaviors. lack nuclear specificity suggests context-related synaptic arise shared source, possibly inputs, signal physiological state body tactile stimulation.

Language: Английский

Citations

0
Recurrence resonance - noise-enhanced dynamics in recurrent neural networks DOI Creative Commons
Claus Metzner, Achim Schilling, Andreas Maier

et al.

Frontiers in Complex Systems, Journal Year: 2024, Volume and Issue: 2

Published: Oct. 8, 2024

Understanding how neural networks process information is a fundamental challenge in neuroscience and artificial intelligence. A pivotal question this context external stimuli, particularly noise, influence the dynamics flow within these networks. Traditionally, noise perceived as hindrance to processing, introducing randomness diminishing fidelity of signals. However, distinguishing from structured input uncovers paradoxical insight: under specific conditions, can actually enhance processing. This intriguing possibility prompts deeper investigation into nuanced role In motifs three recurrently connected neurons with probabilistic response, spontaneous flux, defined mutual between subsequent states, has been shown increase by adding ongoing white some optimal strength each neurons. precise conditions for mechanisms phenomenon called ‘recurrence resonance’ (RR) remain largely unexplored. Using Boltzmann machines different sizes various types weight matrices, we show that RR generally occur when system multiple dynamical attractors, but trapped one or few them. networks, bound suitable observation time scale, could autonomously access its entire attractor landscape even without help given enough time. Yet, large systems, where scales observing full network become too long, resonance still be detected small subsets Finally, short pulses used transfer recurrent both deterministic, their attractors. Our results are relevant fields reservoir computing neuroscience, controlled may turn out key factor efficient processing leading more robust adaptable systems.

Language: Английский

Citations

1
Detection of latent brain states from baseline neural activity in the amygdala DOI Creative Commons

Alexa Aucoin,

Kevin K. Lin, Katalin M. Gothard

et al.

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

Published: June 14, 2024

Abstract The amygdala responds to a large variety of socially and emotionally salient environmental interoceptive stimuli. context in which these stimuli occur determines their social emotional significance. In canonical neurophysiological studies, the fast-paced succession events induce phasic changes neural activity. During inter-trial intervals activity is expected return stable relatively featureless baseline. Context, such as presence partner, or similarity trials blocked design, induces brain states that can transcend be recovered from baseline firing rate neurons. Indeed, rates neurons change between blocks gentle grooming touch, delivered by trusted non-social airflow stimuli, computer-controlled air valve. this experimental paradigm, groomer alone was sufficient small but significant rates. Here, we examine local field potentials (LFP) recorded during periods determine whether encoded network dynamics emerge ensembles We found machine learning techniques reliably decode vs. spectrograms potentials. Notably, decoding accuracy improved significantly with access broad-band information. No differences were detected nuclei receive direct indirect inputs areas prefrontal cortex known coordinate flexible, context-dependent behaviors. lack nuclear specificity suggests context-related synaptic arise shared source, possibly signal sympathetic- parasympathetic-dominated characterizing blocks, respectively.

Language: Английский

Citations

0