Integrating EM and Patch-seq data: Synaptic connectivity and target specificity of predicted Sst transcriptomic types

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 24, 2023

Neural circuit function is shaped both by the cell types that comprise and connections between those 1 . have previously been defined morphology 2, 3 , electrophysiology 4, 5 transcriptomic expression 6-8 connectivity 9-13 or even a combination of such modalities 14-16 More recently, Patch-seq technique has enabled characterization (M), (E), (T) properties from individual cells 17-20 Using this technique, these were integrated to define 28, inhibitory multimodal, MET-types in mouse primary visual cortex 21 It unknown how connect within broader cortical circuitry however. Here we show can predict MET-type identity large-scale electron microscopy (EM) dataset distinct ultrastructural features synapse patterns. We found EM Martinotti cells, well morphological type 22, 23 known be Somatostatin positive (Sst+) 24, 25 successfully predicted belong Sst+ MET-types. Each identified had axon myelination patterns synapsed onto specific excitatory targets. Our results demonstrate used link identities across imaging modalities, which enables further comparison relation electrophysiological properties. Furthermore, our patterns, supporting use meaningfully types.

Language: Английский

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A dendritic substrate for temporal diversity of cortical inhibition

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 9, 2024

In the mammalian neocortex, GABAergic interneurons (INs) inhibit cortical networks in profoundly different ways. The extent to which this depends on how INs process excitatory signals along their dendrites is poorly understood. Here, we reveal that functional specialization of two major populations determined by unique association dendritic integration modes with distinct synaptic organization motifs. We found somatostatin (SST)-INs exhibit NMDAR-dependent and uniform synapse density tree. contrast, parvalbumin (PV)-INs passive coupled proximally enriched distributions. Theoretical analysis shows these configurations result strategies optimize efficacy thin structures. Yet, lead temporal engagement each IN during network activity. confirmed predictions

Language: Английский

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Experience-dependent reorganization of inhibitory neuron synaptic connectivity

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

Published: Jan. 16, 2025

Organisms continually tune their perceptual systems to the features they encounter in environment 1-3 . We have studied how ongoing experience reorganizes synaptic connectivity of neurons olfactory (piriform) cortex mouse. developed an approach measure vivo , training a deep convolutional network reliably identify monosynaptic connections from spike-time cross-correlograms 4.4 million single-unit pairs. This revealed that excitatory piriform with similar odor tuning are more likely be connected. asked whether enhances this like-to-like but found it was unaffected by exposure. Experience did, however, alter logic interneuron connectivity. Following repeated encounters set odorants, inhibitory responded differentially these stimuli exhibited high degree both incoming and outgoing within cortical network. reorganization depended only on not its pre- or postsynaptic partners. A computational model reorganized predicts increases dimensionality entire network's responses familiar stimuli, thereby enhancing discriminability. confirmed network-level property is present physiological measurements, which showed increased separability evoked versus novel odorants. Thus, simple, non-Hebbian may selectively enhance organism's discrimination environment.

Language: Английский

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Layer-specific control of inhibition by NDNF interneurons

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(4)

Published: Jan. 22, 2025

Neuronal processing of external sensory input is shaped by internally generated top–down information. In the neocortex, projections primarily target layer 1, which contains NDNF (neuron-derived neurotrophic factor)-expressing interneurons and dendrites pyramidal cells. Here, we investigate hypothesis that shape cortical computations in an unconventional, layer-specific way, exerting presynaptic inhibition on synapses 1 while leaving deeper layers unaffected. We first confirm experimentally auditory cortex, from somatostatin-expressing (SOM) onto neurons are indeed modulated ambient Gamma-aminobutyric acid (GABA). Shifting to a computational model, then show this mechanism introduces distinct mutual motif between synaptic outputs SOM interneurons. This can control way competition for dendritic cells different timescales. thereby information flow redistributing fast slow timescales gating sources inhibition.

Language: Английский

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Bird’s Eye View of Artificial Intelligence in Neuroscience

AI in neuroscience., Journal Year: 2025, Volume and Issue: 1(1), P. 16 - 41

Published: March 1, 2025

Language: Английский

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