Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics DOI Creative Commons
Shinya Ito, Alex T. Piet, Corbett Bennett

и другие.

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

Опубликована: Окт. 23, 2023

Abstract Recent studies have found dramatic cell-type specific responses to stimulus novelty, highlighting the importance of analyzing cortical circuitry at level granularity understand brain function. Although initial work classified and characterized activity for each cell type, alterations in circuitry—particularly when multiple novelty effects interact—remain unclear. To address this gap, we employed a large-scale public dataset electrophysiological recordings visual cortex awake, behaving mice using Neuropixels probes designed population network models investigate observed changes neural dynamics response combination distinct forms novelty. The model parameters were rigorously constrained by publicly available structural datasets, including multi-patch synaptic physiology electron microscopy data. Our systematic optimization approach identified tens thousands parameter sets that replicate activity. Analysis these solutions revealed generally weaker connections under novel stimuli, as well shift balance e between SST VIP populations. Along with this, PV populations experienced overall more excitatory influences compared results also highlight role neurons aspects processing altering gain saturation conditions. In sum, our findings provide characterization how circuit adapts combining rich datasets.

Язык: Английский

SHIELD: Skull-shaped hemispheric implants enabling large-scale electrophysiology datasets in the mouse brain DOI
Corbett Bennett,

Ben Ouellette,

Tamina K. Ramirez

и другие.

Neuron, Год журнала: 2024, Номер 112(17), С. 2869 - 2885.e8

Опубликована: Июль 11, 2024

Язык: Английский

Процитировано

4
Constructing Biologically Constrained RNNs via Dale's Backprop and Topologically-Informed Pruning DOI Creative Commons
Aishwarya H. Balwani,

A. Wang,

Farzaneh Najafi

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

A bstract Recurrent neural networks (RNNs) have emerged as a prominent tool for modeling cortical function, and yet their conventional architecture is lacking in physiological anatomical fidelity. In particular, these models often fail to incorporate two crucial biological constraints: i) Dale’s law, i.e., sign constraints that preserve the “type” of projections from individual neurons, ii) Structured connectivity motifs, highly sparse defined connections amongst various neuronal populations. Both are known impair learning performance artificial networks, especially when trained perform complicated tasks; but modern experimental methodologies allow us record diverse populations spanning multiple brain regions, using RNN study interactions without incorporating fundamental properties raises questions regarding validity insights gleaned them. To address concerns, our work develops methods let train RNNs which respect law whilst simultaneously maintaining specific pattern across entire network. We provide mathematical grounding guarantees approaches both types constraints, show empirically match any constraints. Finally, we demonstrate utility inferring multi-regional by training network reconstruct 2-photon calcium imaging data during visual behaviour mice, enforcing data-driven, cell-type between spread layers areas. doing so, find inferred model corroborate findings agreement with theory predictive coding, thus validating applicability methods.

Язык: Английский

Процитировано

0
Deciphering neuronal variability across states reveals dynamic sensory encoding DOI Creative Commons
Shailaja Akella, Peter Ledochowitsch, Joshua H. Siegle

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0
Diversity of omission responses to visual images across brain-wide regions DOI
Noam Nitzan, György Buzsáki

Science Advances, Год журнала: 2025, Номер 11(21)

Опубликована: Май 21, 2025

An organism’s survival depends on its ability to anticipate forthcoming events and detect discrepancies between the expected actual sensory inputs. We analyzed data from mice performing a visual go/no-go change-detection task where sequence of stimulus presentations was intermittently interrupted by omission stimulus. The did not elicit discernable spiking responses in cortical neurons. Instead, firing rates image presentations, including period, ramped linearly without interruption at time omitted image. Several neuron types cortex neurons were identified with various images their omissions. A minority cells nonvisual areas, hippocampus, increased onset even when these respond images. Our study elucidates origin sheds light role hippocampal subcortical circuits detection.

Язык: Английский

Процитировано

0
Unexpected Events Trigger Task-Independent Signaling in VIP and Excitatory Neurons of Mouse Visual Cortex DOI Creative Commons
Farzaneh Najafi, Simone Russo, Jérôme Lecoq

и другие.

iScience, Год журнала: 2025, Номер 28(2), С. 111728 - 111728

Опубликована: Янв. 2, 2025

The visual cortex predicts incoming sensory stimuli through internal models that are updated following unexpected events. Cortical inhibitory neurons, particularly vasoactive intestinal polypeptide (VIP) interneurons, play a critical role in representing stimuli. Notably, this response is stimulus non-specific, raising the question of what information it conveys. Given their unique connectivity, we hypothesized during stimuli, VIP neurons encode broad context signals, referred to here as task-independent information. To test hypothesis, analyzed Allen Institute Visual Behavior dataset, which mice viewed repeated familiar images and omissions these images, while two-photon calcium imaging was performed from distinct cell types across primary higher-order areas. Using dimensionality reduction methods, found that, contrast image presentations, trigger signaling excitatory neurons. This may facilitate integration contextual information, enabling predictions.

Язык: Английский

Процитировано

0
Top-down modulation in canonical cortical circuits with short-term plasticity DOI Creative Commons
Felix Waitzmann, Yue Kris Wu, Julijana Gjorgjieva

и другие.

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

Опубликована: Июнь 14, 2023

Abstract Cortical dynamics and computations are strongly influenced by diverse GABAergic interneurons, including those expressing parvalbumin (PV), somatostatin (SST), vasoactive intestinal peptide (VIP). Together with excitatory (E) neurons, they form a canonical microcircuit exhibit counterintuitive nonlinear phenomena. One instance of such phenomena is response reversal, whereby SST neurons show opposite responses to top-down modulation via VIP depending on the presence bottom-up sensory input, indicating that network may function in different regimes under stimulation conditions. Combining analytical computational approaches, we demonstrate model networks multiple interneuron subtypes experimentally identified short-term plasticity mechanisms can implement reversal. Surprisingly, despite not directly affecting activity, PV-to-E depression has decisive impact We how reversal relates inhibition stabilization paradoxical effect several demonstrating coincides change indispensability for stabilization. In summary, our work suggests role generating makes testable predictions.

Язык: Английский

Процитировано

6
Unexpected events modulate context signaling in VIP and excitatory cells of the visual cortex DOI Creative Commons
Farzaneh Najafi, Simone Russo, Jérôme Lecoq

и другие.

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

Опубликована: Май 15, 2024

The visual cortex predicts incoming sensory stimuli through internal models of the world. Unexpected that violate these predictions update and drive adaptation. Cortical inhibitory neurons, particularly VIP (vasoactive intestinal peptide) interneurons, are suggested to play a key role in representing unexpected stimuli, given their robust firing following omissions familiar images. Importantly, this response is stimulus non-specific, raising an important question about what information it conveys. Given unique connectivity with other cell types brain areas, we hypothesized during events, neurons encode contextual information, defined as neuronal activity not driven by itself. To test hypothesis, analyzed Allen Institute Visual Behavior dataset, which mice viewed repeated images while two-photon calcium imaging data from different areas were recorded. Using dimensionality reduction techniques, found trigger signaling primary (V1) lateral medial (LM) area, superficial layers. Similarly, coding was enhanced excitatory omissions. This contrasted sharply expected images, substantially suppressed. Our results suggest events activate subsequently propagate across cortical network. potentially facilitates integration context within network, leads updated our dynamic environment.

Язык: Английский

Процитировано

1
Unexpected Events Modulate Context Signaling in VIP and Excitatory Cells of the Visual Cortex DOI
Farzaneh Najafi, Simone Russo, Jérôme Lecoq

и другие.

Опубликована: Янв. 1, 2024

The visual cortex predicts incoming sensory stimuli through internal models of the world. Unexpected that violate these predictions update and drive adaptation. Cortical inhibitory neurons, particularly VIP (vasoactive intestinal peptide) interneurons, are suggested to play a key role in representing unexpected stimuli, given their robust firing following omissions familiar images. Importantly, this response is stimulus non-specific, raising an important question about what information it conveys. Given unique connectivity with other cell types brain areas, we hypothesized during events, neurons encode contextual information, defined as neuronal activity not driven by itself. To test hypothesis, analyzed Allen Institute Visual Behavior dataset, which mice viewed repeated images while two-photon calcium imaging data from different areas were recorded. Using dimensionality reduction techniques, found trigger signaling primary (V1) lateral medial (LM) area, superficial layers. Similarly, coding was enhanced excitatory omissions. This contrasted sharply expected images, substantially suppressed. Our results suggest events activate subsequently propagate across cortical network. potentially facilitates integration context within network, leads updated our dynamic environment.

Язык: Английский

Процитировано

1
Mixing novel and familiar cues modifies representations of familiar visual images and affects behavior DOI Creative Commons
Noam Nitzan, Corbett Bennett,

J. Anthony Movshon

и другие.

Cell Reports, Год журнала: 2024, Номер 43(8), С. 114521 - 114521

Опубликована: Июль 17, 2024

Язык: Английский

Процитировано

1
Predictive filtering of sensory response via orbitofrontal top-down input DOI Creative Commons
Hiroaki Tsukano,

Michellee M. Garcia,

Pranathi R. Dandu

и другие.

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

Опубликована: Сен. 17, 2024

Abstract Habituation is a crucial sensory filtering mechanism whose dysregulation can lead to continuously intense world in disorders with overload. While habituation considered require top-down predictive signaling suppress irrelevant inputs, the exact brain loci storing internal model and circuit mechanisms of remain unclear. We found that daily neural primary auditory cortex (A1) was reversed by inactivation orbitofrontal (OFC). Top-down projections from ventrolateral OFC, but not other frontal areas, carried signals grew sound experience suppressed A1 via somatostatin-expressing inhibitory neurons. Thus, prediction OFC cancel out behaviorally anticipated stimuli generating their “negative images” cortices.

Язык: Английский

Процитировано

1