Predictive routing emerges from self-supervised stochastic neural plasticity DOI Creative Commons

Hamed Nejat,

Jason Sherfey, André M. Bastos

и другие.

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

Опубликована: Дек. 31, 2024

Abstract Neurophysiology studies propose that predictive coding is implemented via alpha/beta (8-30 Hz) rhythms prepare specific pathways to process predicted inputs. This leads a state of relative inhibition, reducing feedforward gamma (40-90 and spiking predictable We refer this model as routing. It currently unclear which circuit mechanisms implement push-pull interaction between rhythms. To explore how routing implemented, we developed self-supervised learning algorithm call generalized Stochastic Delta Rule (gSDR). was necessary develop rule because manual tuning parameters (frequently used in computational modeling) inefficient search through non-linear parameter space defines neuronal emerge interact. gSDR train biophysical neural circuits validated the on simple tasks, e.g., membrane potentials firing rates. next applied observed neurophysiology. asked reproduce shift from baseline oscillatory dynamics (∼<20Hz) stimulus induced (∼40-90Hz) recorded macaque monkey visual cortex. gamma-band oscillation during stimulation emerged by self-modulation synaptic weights gSDR. further showed gamma-beta interactions implied could stochastic modulation both local inhibitory circuitry well top-down modulatory inputs network. summarize, based series objectives. succeeded implementing these revealed neuron underlying are processing tasks systems cognitive neuroscience. Significant Statement study contributes advancement for modeling behavior complex specifically, models framework. Since an evolutionary does not rely model-based assumptions, it improve autonomous approaches neuroscience network research.

Язык: Английский

Neural Oscillations in the Somatosensory and Motor Cortex Distinguish Dexmedetomidine‐Induced Anesthesia and Sleep in Rats DOI Creative Commons
Dengyun Ge, Chuanliang Han, Chang Liu

и другие.

CNS Neuroscience & Therapeutics, Год журнала: 2025, Номер 31(2)

Опубликована: Фев. 1, 2025

ABSTRACT Background Anesthesia is featured by behavioral and physiological characteristics such as decreased sensory motor function, loss of consciousness, etc. Some anesthetics dexmedetomidine (DEX), induce electroencephalogram signatures close to non‐rapid eye movement sleep. Studies have shown that sleep primarily driven the activation subcortical sleep‐promoting neural pathways. Aims However, neuronal level electrophysiology features anesthesia how they differ from still not fully understood. Materials Methods In present study, we recorded activity simultaneously somatosensory cortex (S1) (M1) during awake, sleep, DEX‐induced in rats. Results The results show DEX increased local field potential (LFP) power across a relatively wide band (1–25 Hz) both S1 M1. coherence between LFP M1 significantly delta alpha bands. Power spectrum analysis revealed high bands, but low theta beta Overall, firing rate individual neurons after DEX. Correlation indicate more were correlated, either positively or negatively, with LFPs compared Discussion Although these showed enhancement cortical different patterns spike‐field correlation suggest two states may be regulated mechanisms. Conclusion Distinguishing oscillations could lead personalized, safer, effective approaches managing consciousness medical settings, for broad applications neuroscience clinical practice.

Язык: Английский

Процитировано

0

Propofol alleviates traumatic brain injury through regulating Th17/Treg balance by activation of the AMPK/SIRT1 pathway DOI
Dan Wang, Hongyu Sun,

Kerong Hai

и другие.

Toxicology Mechanisms and Methods, Год журнала: 2025, Номер unknown, С. 1 - 11

Опубликована: Апрель 2, 2025

Traumatic brain injury (TBI), a prevalent neurological disorder in clinical practice, is primarily induced by external trauma. Propofol has been reported to alleviate the symptoms associated with TBI. In this study, TBI model was established mice using controlled cortical impact (CCI) method. After treatment propofol and BML-275, neuronal damage assessed through modified Neurological Severity Score (mNSS), Hematoxylin Eosin (HE) staining, Nissl staining. To investigate role of AMPK/SIRT1 pathway propofol-regulated TBI, AMPKα-silenced vectors overexpressed SIRT1 were transfected. Western blot performed evaluate expression proteins involved pyroptosis markers. The regulatory Th17/Treg balance examined detecting key transcription factors RORγt FOXP3 immunofluorescent staining RT-qPCR. Enzyme-linked immunosorbent assay (ELISA) used measure IL-17 IL-10 concentrations. Results showed that significantly reduced model, an effect reversed BML-275. Moreover, mitigated downregulating Caspase-1 GSDMD-N post-TBI. inhibited Th17 differentiation while promoting Treg modulating RORγt/FOXP3 IL-17/IL-10 levels. Silencing AMPKα markedly diminished propofol's effects on differentiation, these being upon overexpression. suppressed regulation via activation pathway. These findings suggest exerts protective against following potentially modulation signaling

Язык: Английский

Процитировано

0

Stability from subspace rotations and traveling waves DOI Open Access
Tamal Batabyal, Scott L. Brincat, Jacob Donoghue

и другие.

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

Опубликована: Фев. 19, 2024

Abstract Cortical activity shows the ability to recover from distractions. We analyzed neural prefrontal cortex (PFC) of monkeys performing working memory tasks with mid-memory-delay distractions (a cued gaze shift or an irrelevant visual input). After distraction there were state-space rotational dynamics that returned spiking population patterns similar those pre-disruption. In fact, rotations fuller when task was performed correctly versus errors made. found a correspondence between and traveling waves across surface PFC. This suggests role for emergent like in recovery

Язык: Английский

Процитировано

1

Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory DOI
S. A. Selesnick

Journal of Computational Neuroscience, Год журнала: 2024, Номер 52(3), С. 223 - 243

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

1

Brain Scale Free Criticality and Renormalization Extended for Unification and Consciousness Theories DOI
Tariq Khan

Опубликована: Июль 21, 2024

Recent articles summarizing research noting the proclivity of renormalization techniques to solve brain self-organized criticality and deep learning could intimate that challenges with unification Quantum Mechanics Relativity, finding a formal solution for quantum decoherence or even consciousness, be chimeras if human observed nature reality itselfare renormalizations an infinite fractal space-time is intractable current techniques.

Язык: Английский

Процитировано

0

IL‐12p70 Induces Neuroprotection via the PI3K‐AKT‐BCL2 Axis to Mediate the Therapeutic Effect of Electroacupuncture on Postoperative Cognitive Dysfunction DOI
Tingting Huang, Jie Hong, Ling Jia

и другие.

Advanced Biology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 30, 2024

Abstract Postoperative cognitive dysfunction (POCD), a postsurgical decline in function, primarily affects older adults and worsens their prognosis. Although elevated interleukin‐12p70 (IL‐12p70) is closely correlated with slower adults, its role POCD remains unclear. Here, IL‐12p70 identified as significant mediator of therapeutic effect electroacupuncture (EA) on POCD. EA at acupoints ST36, GV20, GV24 significantly enhanced behaviors mice. IL‐12p70, downregulated mice but rescued by treatment, the cytokine associated EA's effect. Clinically, adults’ serum post‐surgery. Furthermore, exerts potent neuroprotective both neuronal cell lines primary hippocampal neurons. The PI3K‐AKT‐BCL2 axis enriched silico analysis validated signaling mechanism underlying IL‐12p70‐induced neuroprotection. In vivo, beneficial effects treatment activation are reproduced administration attenuated knockdown. findings reveal novel POCD, demonstrating that activating newly‐discovered function highlight potential treating disorders.

Язык: Английский

Процитировано

0

Predictive routing emerges from self-supervised stochastic neural plasticity DOI Creative Commons

Hamed Nejat,

Jason Sherfey, André M. Bastos

и другие.

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

Опубликована: Дек. 31, 2024

Abstract Neurophysiology studies propose that predictive coding is implemented via alpha/beta (8-30 Hz) rhythms prepare specific pathways to process predicted inputs. This leads a state of relative inhibition, reducing feedforward gamma (40-90 and spiking predictable We refer this model as routing. It currently unclear which circuit mechanisms implement push-pull interaction between rhythms. To explore how routing implemented, we developed self-supervised learning algorithm call generalized Stochastic Delta Rule (gSDR). was necessary develop rule because manual tuning parameters (frequently used in computational modeling) inefficient search through non-linear parameter space defines neuronal emerge interact. gSDR train biophysical neural circuits validated the on simple tasks, e.g., membrane potentials firing rates. next applied observed neurophysiology. asked reproduce shift from baseline oscillatory dynamics (∼<20Hz) stimulus induced (∼40-90Hz) recorded macaque monkey visual cortex. gamma-band oscillation during stimulation emerged by self-modulation synaptic weights gSDR. further showed gamma-beta interactions implied could stochastic modulation both local inhibitory circuitry well top-down modulatory inputs network. summarize, based series objectives. succeeded implementing these revealed neuron underlying are processing tasks systems cognitive neuroscience. Significant Statement study contributes advancement for modeling behavior complex specifically, models framework. Since an evolutionary does not rely model-based assumptions, it improve autonomous approaches neuroscience network research.

Язык: Английский

Процитировано

0