Information representation in an oscillating neural field model modulated by working memory signals DOI Creative Commons

William H. Nesse,

Kelsey Clark, Behrad Noudoost

и другие.

Frontiers in Computational Neuroscience, Год журнала: 2024, Номер 17

Опубликована: Янв. 18, 2024

We study how stimulus information can be represented in the dynamical signatures of an oscillatory model neural activity—a whose activity modulated by input akin to signals involved working memory (WM). developed a field model, tuned near instability, which WM-like modulate frequency and amplitude oscillation. Our has spatial-like domain that preferentially targets point—a feature—on will induce feature-specific changes. These changes affect both mean rate spikes relative timing spiking global oscillation—the phase activity. From these two signatures, we define spike code code. assess performance codes discriminate features using information-theoretic analysis. show WM modulations enhance discrimination while simultaneously reducing discrimination. Moreover, find is roughly orders magnitude larger than defined for same solutions. The results our have applications sensory areas brain, prefrontal send inputs reflecting content WM. been established similar model. suggest mechanism may beyond comparatively weak representations based on

Язык: Английский

Local circuit amplification of spatial selectivity in the hippocampus DOI
Tristan Geiller, Sadra Sadeh,

Sebastian V. Rolotti

и другие.

Nature, Год журнала: 2021, Номер 601(7891), С. 105 - 109

Опубликована: Дек. 1, 2021

Язык: Английский

Процитировано

104

Transforming descending input into behavior: The organization of premotor circuits in the Drosophila Male Adult Nerve Cord connectome DOI Open Access
Han SJ Cheong, Katharina Eichler, Tomke Stürner

и другие.

Опубликована: Март 18, 2024

In most animals, a relatively small number of descending neurons (DNs) connect higher brain centers in the animal’s head to circuits and motor (MNs) nerve cord body that effect movement limbs. To understand how signals generate behavior, it is critical these pathways are organized onto MNs. fly, Drosophila melanogaster , MNs controlling muscles leg, wing, other systems reside ventral (VNC), analogous mammalian spinal cord. companion papers, we introduced densely-reconstructed connectome Male Adult Nerve Cord (MANC, Takemura et al., 2023), including cell type developmental lineage annotation (Marin which provides complete VNC connectivity at synaptic resolution. Here, present first look organization networks connecting DNs based on this new information. We proofread curated all ensure accuracy reliability, then systematically matched DN axon terminals MN dendrites with light microscopy data link their morphology inputs or muscle targets. report both broad organizational patterns entire network fine-scale analysis selected interest. discover direct DN-MN connections infrequent identify communities intrinsic linked control different systems, putative for walking, dorsal flight steering power generation, intermediate lower tectulum coordinated action wings legs. Our generates hypotheses future functional experiments and, together MANC connectome, empowers others investigate richer mechanistic detail.

Язык: Английский

Процитировано

22

Lateral inhibition in V1 controls neural and perceptual contrast sensitivity DOI

Joseph Del Rosario,

Stefano Coletta, Soon Ho Kim

и другие.

Nature Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

2

How Cortical Circuits Implement Cortical Computations: Mouse Visual Cortex as a Model DOI Open Access
Cristopher M. Niell, Massimo Scanziani

Annual Review of Neuroscience, Год журнала: 2021, Номер 44(1), С. 517 - 546

Опубликована: Апрель 29, 2021

The mouse, as a model organism to study the brain, gives us unprecedented experimental access mammalian cerebral cortex. By determining cortex's cellular composition, revealing interaction between its different components, and systematically perturbing these we are obtaining mechanistic insight into some of most basic properties cortical function. In this review, describe recent advances in our understanding how circuits neurons implement computations, revealed by mouse primary visual Further, discuss studying has broadened range computations performed Finally, address future approaches will fulfill promise elucidating fundamental operations

Язык: Английский

Процитировано

88

Regulation of circuit organization and function through inhibitory synaptic plasticity DOI
Yue Kris Wu, Christoph Miehl, Julijana Gjorgjieva

и другие.

Trends in Neurosciences, Год журнала: 2022, Номер 45(12), С. 884 - 898

Опубликована: Окт. 28, 2022

Язык: Английский

Процитировано

56

Transforming descending input into behavior: The organization of premotor circuits in theDrosophilaMale Adult Nerve Cord connectome DOI Creative Commons
Han SJ Cheong, Katharina Eichler, Tomke Stürner

и другие.

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

Опубликована: Июнь 7, 2023

Abstract In most animals, a relatively small number of descending neurons (DNs) connect higher brain centers in the animal’s head to circuits and motor (MNs) nerve cord body that effect movement limbs. To understand how signals generate behavior, it is critical these pathways are organized onto MNs. fly, Drosophila melanogaster , MNs controlling muscles leg, wing, other systems reside ventral (VNC), analogous mammalian spinal cord. companion papers, we introduced densely-reconstructed connectome Male Adult Nerve Cord (MANC, Takemura et al., 2023), including cell type developmental lineage annotation (Marin which provides complete VNC connectivity at synaptic resolution. Here, present first look organization networks connecting DNs based on this new information. We proofread curated all ensure accuracy reliability, then systematically matched DN axon terminals MN dendrites with light microscopy data link their morphology inputs or muscle targets. report both broad organizational patterns entire network fine-scale analysis selected interest. discover direct DN-MN connections infrequent identify communities intrinsic linked control different systems, putative for walking, dorsal flight steering power generation, intermediate lower tectulum coordinated action wings legs. Our generates hypotheses future functional experiments and, together MANC connectome, empowers others investigate richer mechanistic detail.

Язык: Английский

Процитировано

37

Inhibitory control of sharp-wave ripple duration during learning in hippocampal recurrent networks DOI

Bert Vancura,

Tristan Geiller, Andres Grosmark

и другие.

Nature Neuroscience, Год журнала: 2023, Номер 26(5), С. 788 - 797

Опубликована: Апрель 20, 2023

Язык: Английский

Процитировано

30

Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex DOI Creative Commons
Panagiotis Fotiadis, Matthew Cieslak, Xiaosong He

и другие.

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Сен. 30, 2023

Recent work has demonstrated that the relationship between structural and functional connectivity varies regionally across human brain, with reduced coupling emerging along sensory-association cortical hierarchy. The biological underpinnings driving this expression, however, remain largely unknown. Here, we postulate intracortical myelination excitation-inhibition (EI) balance mediate heterogeneous expression of structure-function (SFC) its temporal variance We employ atlas- voxel-based approaches to analyze neuroimaging data acquired from two groups healthy participants. Our findings are consistent six complementary processing pipelines: 1) SFC respectively decrease increase unimodal-transmodal granular-agranular gradients; 2) increased lower EI-ratio associated more rigid restricted moment-to-moment fluctuations; 3) a gradual shift as principal predictor occurs when traversing granular agranular regions. Collectively, our delivers framework conceptualize relationships in paving way for an improved understanding how demyelination and/or EI-imbalances induce reorganization brain disorders.

Язык: Английский

Процитировано

29

Neuromodulatory control of complex adaptive dynamics in the brain DOI
James M. Shine

Interface Focus, Год журнала: 2023, Номер 13(3)

Опубликована: Апрель 14, 2023

How is the massive dimensionality and complexity of microscopic constituents nervous system brought under sufficiently tight control so as to coordinate adaptive behaviour? A powerful means for striking this balance poise neurons close critical point a phase transition, at which small change in neuronal excitability can manifest nonlinear augmentation activity. brain could mediate transition key open question neuroscience. Here, I propose that different arms ascending arousal provide with diverse set heterogeneous parameters be used modulate receptivity target neurons-in other words, act mediating order. Through series worked examples, demonstrate how neuromodulatory interact inherent topological subsystems complex behaviour.

Язык: Английский

Процитировано

25

CA1 Engram Cell Dynamics Before and After Learning DOI Creative Commons
Amy Monasterio, Caitlin Lienkaemper,

Siria Coello

и другие.

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

Опубликована: Апрель 20, 2024

Summary A fundamental question in neuroscience is how memory formation shapes brain activity at the level of populations neurons. Recent studies hippocampal ‘engram’ cells, identified by immediate-early genes (IEGs) induced learning, propose that these act as a neuronal substrate for storage. The current framework engram proposes cells join ensembles based on increased intrinsic excitability, and after initial they co-activate to support retrieval. However, direct evidence population dynamics evolve across learning limited. Here we combined activity-dependent genetic tagging two-photon calcium imaging characterize CA1 before learning. We observed spontaneous two days predicted tagging, consistent with model which fluctuations bias into forming assemblies. Surprisingly, were unable detect rates or pairwise correlations amongst tagged neurons These results computational network models incorporate strong specific inhibitory connections, supporting idea excitatory/inhibitory balance may play key role dynamics. Together highlight potential slow time scale excitability driving suggest excitatory-inhibitory regulate cell co-activation. Highlights Tracked Fos Spontaneous predicts TetTagging. No changes TetTagged Modeling suggests E/I regulates

Язык: Английский

Процитировано

14