Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics

Cell Reports, Год журнала: 2024, Номер 43(9), С. 114763 - 114763

Опубликована: Сен. 1, 2024

Recent studies have found dramatic cell-type-specific responses to stimulus novelty, highlighting the importance of analyzing cortical circuitry at this granularity understand brain function. Although initial work characterized activity by cell type, alterations in due interacting novelty effects remain unclear. We investigated circuit mechanisms underlying observed neural dynamics response novel stimuli using a large-scale public dataset electrophysiological recordings behaving mice and population network model. The model was constrained multi-patch synaptic physiology electron microscopy data. generally weaker connections under stimuli, with shifts balance between somatostatin (SST) vasoactive intestinal polypeptide (VIP) populations increased excitatory influences on parvalbumin (PV) SST populations. These findings systematically characterize how circuits adapt novelty.

Язык: Английский

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Simple synaptic modulations implement diverse novelty computations

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

Опубликована: Авг. 18, 2023

Abstract Since environments are constantly in flux, the brain’s ability to identify novel stimuli that fall outside its own internal representation of world is crucial for an organism’s survival. Within mammalian neocortex, inhibitory microcircuits proposed regulate activity experience-dependent manner and different neuron subtypes exhibit distinct novelty responses. Discerning function diverse neural circuits their modulation by experience can be daunting unless one has a biologically plausible mechanism detect learn from experiences both understandable flexible. Here we introduce learning mechanism, familiarity modulated synapses (FMSs), through which network response encodes emerges unsupervised multiplicative synaptic modifications depending only on presynaptic or pre- postsynaptic activity. FMSs stand apart other mechanisms simplicity: they operate under continual learning, do not require specialized architecture, distinguish rapidly without requiring feedback. Implementing within experimentally-constrained model visual cortical circuit, demonstrate generalizability reproducing three effects recently observed experiments: absolute, contextual (or oddball), omission novelty. Additionally, our reproduces functional diversity cell subpopulations, leading experimentally testable predictions about connectivity dynamics produce population-level responses heterogeneous individual signals. Altogether, findings how simple plasticity circuit structure give rise qualitatively The flexibility opens door computationally theoretically investigating synapse modulations lead variety simple, understandable, setup.

Язык: Английский

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Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex

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

Опубликована: Апрель 29, 2023

Abstract In complex environments, animals can adopt diverse strategies to find rewards. How distinct differentially engage brain circuits is not well understood. Here we investigate this question, focusing on the cortical Vip-Sst disinhibitory circuit. We characterize behavioral used by mice during a visual change detection task. Using dynamic logistic regression model individual use mixtures of comparison strategy and statistical timing strategy. Separately, also have periods task engagement disengagement. Two-photon calcium imaging shows large dependent differences in neural activity excitatory, Sst inhibitory, Vip inhibitory cells response both image changes omissions. contrast, has limited effects population activity. diversity correlates be understood parsimoniously as increased activation circuit which facilitates appropriate responses.

Язык: Английский

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Experience-dependent predictions of feedforward and contextual information in mouse visual cortex

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

Опубликована: Июнь 10, 2024

ABSTRACT Neurons in primary visual cortex are driven by feedforward inputs and top-down contextual inputs. The nature of this information is difficult to study, as responses overlap time disentangle experimentally. To address issue, we measured natural images partially occluded versions these the mice. Assessing neuronal before after familiarizing mice with non-occluded allowed us study experience-dependent stimulus-specific pyramidal cells (PyCs) cortical layers 2/3 5 absence input. Surprisingly, same retinotopic region cortex, found that separate populations PyCs layer responded images. Responses selective for were strengthened upon familiarization decoding analysis revealed they contained image-specific information, suggesting signaled predicted stimuli. scenes weaker familiarized but stronger unfamiliar images, neurons presence unpredicted Layer also preferring either or inputs, their more complex strengthening required task engagement. results show experience decreases activity responding known increases tied expected

Язык: Английский

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Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics

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

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