Structured Dynamics in the Algorithmic Agent

Entropy, Journal Year: 2025, Volume and Issue: 27(1), P. 90 - 90

Published: Jan. 19, 2025

In the Kolmogorov Theory of Consciousness, algorithmic agents utilize inferred compressive models to track coarse-grained data produced by simplified world models, capturing regularities that structure subjective experience and guide action planning. Here, we study dynamical aspects this framework examining how requirement tracking natural drives structural properties agent. We first formalize notion a generative model using language symmetry from group theory, specifically employing Lie pseudogroups describe continuous transformations characterize invariance in data. Then, adopting generic neural network as proxy for agent system drawing parallels Noether’s theorem physics, demonstrate forces mirror model. This dual constraint on agent’s constitutive parameters repertoire enforces hierarchical organization consistent with manifold hypothesis network. Our findings bridge perspectives information theory (Kolmogorov complexity, modeling), (group theory), dynamics (conservation laws, reduced manifolds), offering insights into correlates agenthood structured systems, well design artificial intelligence computational brain.

Language: Английский

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Cellular mechanisms of cooperative context-sensitive predictive inference

Current Research in Neurobiology, Journal Year: 2024, Volume and Issue: 6, P. 100129 - 100129

Published: Jan. 1, 2024

We argue that prediction success maximization is a basic objective of cognition and cortex, it compatible with but distinct from error minimization, neither requires subtractive coding, there clear neurobiological evidence for the amplification predicted signals, we are unconvinced by proposed in support coding. outline recent discoveries showing pyramidal cells on which our cognitive capabilities depend usually transmit information about input to their basal dendrites amplify transmission when distal apical provides context agrees feedforward both depolarizing, i.e., excitatory rather than inhibitory. Though these intracellular require level technical expertise beyond current abilities most neuroscience labs, they not controversial acclaimed as groundbreaking. note this cellular cooperative context-sensitivity greatly enhances mammalian neocortex, much remains be discovered concerning its evolution, development, pathology.

Language: Английский

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Decoupling Measurements and Processes: On the Epiphenomenon Debate Surrounding Brain Oscillations in Field Potentials

Published: April 9, 2024

Various theories in neuroscience maintain that brain oscillations have an important role neuronal computation, but opposing views claim these macroscale dynamics are “exhaust fumes” of more relevant processes. Here, we argue the question whether epiphenomenal is ill-defined and cannot be productively resolved without further refinement. Toward end, outline a conceptual framework clarifies dispute along two axes: first, introduce distinction between measurement process to categorize theoretical status electrophysiology terms such as local field potentials oscillations. Second, consider relationships disambiguated terms, evaluating based on experimental computational evidence there exist causal or inferentially useful links them. This decomposes epiphenomenalism into set empirically tractable alternatives. Finally, demarcate conceptually distinct entity where either processes measurements exhibit periodic behavior, suggest oscillatory orchestrate neural computation by implementing temporal, spatial, frequency syntax. Overall, our reframed evaluation supports view electric fields—oscillating not—are causally relevant, their associated signals informative. More broadly, offer vocabulary starting point for scientific exchanges utility biological they capture.

Language: Английский

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Functional subtypes of synaptic dynamics in mouse and human

Cell Reports, Journal Year: 2024, Volume and Issue: 43(2), P. 113785 - 113785

Published: Feb. 1, 2024

Synapses preferentially respond to particular temporal patterns of activity with a large degree heterogeneity that is informally or tacitly separated into classes. Yet, the precise number and properties such classes are unclear. Do they exist on continuum and, if so, when it appropriate divide functional regions? In dataset glutamatergic cortical connections, we perform model-based characterization infer characteristics functionally distinct subtypes synaptic dynamics. rodent data, find five clusters partially converge transgenic-associated subtypes. Strikingly, application same clustering method in human data infers highly similar clusters, supportive stable clustering. This nuanced dictionary shapes dynamics provides lens basic motifs information transmission brain.

Language: Английский

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Network motifs in cellular neurophysiology

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(7), P. 506 - 521

Published: May 28, 2024

Language: Английский

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Processes and measurements: a framework for understanding neural oscillations in field potentials

Trends in Cognitive Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Computational protocol for modeling and analyzing synaptic dynamics using SRPlasticity

STAR Protocols, Journal Year: 2025, Volume and Issue: 6(1), P. 103652 - 103652

Published: March 1, 2025

Transient changes in synaptic strength, known as short-term plasticity (STP), play a fundamental role neuronal communication. Here, we present protocol for using SRPlasticity, software package that implements computational model of STP. SRPlasticity supports automatic characterization electrophysiological data and simulation responses. We describe steps installing utilizing preprocessing data, fitting models, simulating then detail procedures analyzing spike response (SRP) parameters to infer functional groupings For complete details on the use execution this protocol, please refer Rossbroich et al.1 Beninger al.2.

Language: Английский

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Distributed burst activity in the thalamocortical system encodes reward contingencies during learning

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Abstract Neuronal bursts are distinct high-frequency firing patterns that present ubiquitously throughout mammalian brain circuits. Although considered part of a universal neural code, the information they convey has long been subject debate. In this study, we investigated neuronal activity in simultaneously recorded regions thalamocortical system freely moving mice as learned stimulus-outcome associations go/no-go task. We discovered that, parallel with learning, populations neurons emerge cortical, thalamic, and extrathalamic somatosensory encode task-relevant stimulus features via presence or absence bursts. These burst-coder (BCNs) increase number task proficiency exhibit burstiness scales valence rather than physical identity. Notably, BCNs consistently track associations—even after multiple rule switches—by inverting their burst encoding stimuli, indicating coding is driven by outcome inherent properties. emerges system, only cortical units retain significant devaluation, while other lose discriminative patterns. Furthermore, decoding properties behavior achieves maximal accuracy when used input. Overall, these results provide direct experimental evidence linking bursting to supporting novel perspective context encoders teaching signals.

Language: Английский

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Direct effects of prolonged TNF-α and IL-6 exposure on neural activity in human iPSC-derived neuron-astrocyte co-cultures

Frontiers in Cellular Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: Feb. 12, 2025

Cognitive impairment is one of the many symptoms reported by individuals suffering from long-COVID and other post-viral infection disorders such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). A common factor among these conditions a sustained immune response increased levels inflammatory cytokines. Tumor necrosis alpha (TNF-α) interleukin-6 (IL-6) are two cytokines that elevated in patients diagnosed with ME/CFS. In this study, we characterized changes neural functionality, secreted cytokine profiles, gene expression co-cultures human iPSC-derived neurons primary astrocytes to prolonged exposure TNF-α IL-6. We found produced both concentration-independent concentration-dependent activity. Burst duration was significantly reduced within few days regardless concentration (1 pg/mL – 100 ng/mL) but returned baseline after 7 days. Treatment low concentrations (e.g., 1 25 pg/mL) did not lead profile or still resulted significant electrophysiological features interspike interval burst duration. Conversely, treatment high 10 led spiking activity, which may be correlated health, expression, increases secretion IL-1β, IL-4, CXCL-10) were observed at higher concentrations. Prolonged IL-6 bursting features, reduction number spikes bursts across wide range (i.e., pg/mL–10 ng/mL). combination, addition appears counteract function induced TNF-α, while had little no effect. lost when cultures co-stimulated concentration, suggesting play more pronounced role altering function. These results indicate key associated can directly impact component cognitive disorders.

Language: Английский

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A model of thalamo-cortical interaction for incremental binding in mental contour-tracing

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(5), P. e1012835 - e1012835

Published: May 8, 2025

Object-basd visual attention marks a key process of mammalian perception. By which mechanisms this is implemented and how it can be interacted with by means attentional control not completely understood yet. Incremental binding mechanism required in demanding scenarios object-based experimentally well investigated. Attention spreads across representation the object labels bound elements constant up-modulation neural activity. The speed incremental was found to dependent on spatial arrangement distracting scene scale invariant giving rise growth-cone hypothesis. In work, we propose dynamical model that provides mechanistic account for these findings. Through simulations, investigate properties demonstrate an spreading tags neurons participate process. They utilize Gestalt eventually show characteristics labeling perceptual items delayed activity enhancement neuronal firing rates. We discuss algorithmic underlying relate our computations. This theoretical investigation encompasses complexity considerations finds only explanatory value terms neurophysiological evidence, but also efficient implementation striving establish normative account. relating connectivity motifs neuroanatomical suggest thalamo-cortical interactions likely candidate flexible realization suggested model. There, pyramidal cells are proposed serve as processors grouping information. Local bottom-up evidence about stimulus features integrated via basal dendritic sites. It combined apical signal consisting contextual information gated task-relevance selection mediated higher-order thalamic representations.

Language: Английский

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