Untangling stability and gain modulation in cortical circuits with multiple interneuron classes DOI Open Access

Hannah Bos,

Christoph Miehl, Anne-Marie M. Oswald

et al.

Published: Dec. 3, 2024

Synaptic inhibition is the mechanistic backbone of a suite cortical functions, not least which are maintaining network stability and modulating neuronal gain. In models with single inhibitory neuron class, stabilization gain control work in opposition to one another – meaning high coincides low vice versa. It now clear that diverse, molecularly distinguished cell classes having distinct positions within circuit. We analyze circuit pyramidal neurons (E) as well parvalbumin (PV) somatostatin (SOM) expressing interneurons. show how E PV SOM recurrently connected networks an SOM-mediated modulation can lead simultaneous increases stability. Our exposes impact mediated by depends critically on connectivity state.

Language: Английский

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

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(16)

Published: April 9, 2024

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.

Language: Английский

Citations

8
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes DOI Open Access

Hannah Bos,

Christoph Miehl, Anne-Marie M. Oswald

et al.

Published: March 21, 2025

Synaptic inhibition is the mechanistic backbone of a suite cortical functions, not least which are maintaining network stability and modulating neuronal gain. In models with single inhibitory neuron class, stabilization gain control work in opposition to one another – meaning high coincides low vice versa. It now clear that diverse, molecularly distinguished cell classes having distinct positions within circuit. We analyze circuit pyramidal neurons (E) as well parvalbumin (PV) somatostatin (SOM) expressing interneurons. show how E PV SOM recurrently connected networks an SOM-mediated modulation can lead simultaneous increases stability. Our exposes impact mediated by depends critically on connectivity state.

Language: Английский

Citations

0
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes DOI Creative Commons

Hannah Bos,

Christoph Miehl, Anne-Marie M. Oswald

et al.

eLife, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

Synaptic inhibition is the mechanistic backbone of a suite cortical functions, not least which are maintaining network stability and modulating neuronal gain. In models with single inhibitory neuron class, stabilization gain control work in opposition to one another – meaning high coincides low vice versa. It now clear that diverse, molecularly distinguished cell classes having distinct positions within circuit. We analyze circuit pyramidal neurons (E) as well parvalbumin (PV) somatostatin (SOM) expressing interneurons. show how, E PV SOM recurrently connected networks, SOM-mediated modulation can lead simultaneous increases stability. Our exposes how impact mediated by depends critically on connectivity state.

Language: Английский

Citations

0
State modulation in spatial networks with three interneuron subtypes DOI Creative Commons

Madeline M Edwards,

Jonathan Rubin,

Chengcheng Huang

et al.

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

Published: Aug. 24, 2024

Several inhibitory interneuron subtypes have been identified as critical in regulating sensory responses. However, the specific contribution of each subtype remains uncertain. In this work, we explore contributions cell-type activity and synaptic connections to dynamics a spatially organized spiking neuron network. We find that firing rates somatostatin (SOM) interneurons align closely with level network synchrony irrespective target modulatory input. Further analysis reveals inhibition from SOM parvalbumin (PV) must be limited allow gradual transitions asynchrony strength recurrent excitation onto neurons determines achievable Our results are consistent recent experimental findings on manipulations. Overall, our highlight common dynamic regimes achieved across modulations different cell populations identify cells main driver synchrony.

Language: Английский

Citations

2
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes DOI Open Access

Hannah Bos,

Christoph Miehl, Anne-Marie M. Oswald

et al.

Published: July 30, 2024

Synaptic inhibition is the mechanistic backbone of a suite cortical functions, not least which are maintaining network stability and modulating neuronal gain. In models with single inhibitory neuron class, stabilization gain control work in opposition to one another – meaning high coincides low vice versa. It now clear that diverse, molecularly distinguished cell classes having distinct positions within circuit. We analyze circuit pyramidal neurons (E) as well parvalbumin (PV) somatostatin (SOM) expressing interneurons. show how E PV SOM recurrently connected networks an SOM-mediated modulation can lead simultaneous increases stability. Our exposes impact mediated by depends critically on connectivity state.

Language: Английский

Citations

0
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes DOI Open Access

Hannah Bos,

Christoph Miehl, Anne-Marie M. Oswald

et al.

Published: July 30, 2024

Synaptic inhibition is the mechanistic backbone of a suite cortical functions, not least which are maintaining network stability and modulating neuronal gain. In models with single inhibitory neuron class, stabilization gain control work in opposition to one another – meaning high coincides low vice versa. It now clear that diverse, molecularly distinguished cell classes having distinct positions within circuit. We analyze circuit pyramidal neurons (E) as well parvalbumin (PV) somatostatin (SOM) expressing interneurons. show when E PV networks recurrently connect SOM then an mediated modulation leads increased can also yield stability. Our exposes how impact depends critically on recruited from

Language: Английский

Citations

0
Discovering plasticity rules that organize and maintain neural circuits DOI Creative Commons

David Bell,

Alison Duffy,

Adrienne L. Fairhall

et al.

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

Published: Nov. 20, 2024

Intrinsic dynamics within the brain can accelerate learning by providing a prior scaffolding for aligned with task objectives. Such intrinsic should self-organize and self-sustain in face of fluctuating inputs biological noise, including synaptic turnover cell death. An example such is formation sequences, ubiquitous motif neural activity. The sequence-generating circuit zebra finch HVC provides reliable timing scaffold motor output song demonstrates remarkable capacity unsupervised recovery following perturbation. Inspired HVC, we seek local plasticity rule capable organizing maintaining despite continual network perturbations. We adopt meta-learning approach introduced Confavreux et al, which parameterizes using basis functions constructed from pre- postsynaptic activity synapse size, tunable time constants. Candidate rules are simulated initially random networks, their fitness evaluated according to loss function that measures fidelity resulting encode time. use this introduce forcing find robust solutions. first show that, absence perturbation, identifies temporally asymmetric generalization Oja's reliably organizes sparse sequential When introduced, learned incorporates an additional form homeostasis, better relative other previously proposed rules. Additionally, inspired recent findings demonstrating synapses inhibitory interneurons explore role circuits. adjusts both excitation inhibition response manipulations, outperforming applied only excitatory connections. demonstrate how acting on shape representations.

Language: Английский

Citations

0
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes DOI Open Access

Hannah Bos,

Christoph Miehl, Anne-Marie M. Oswald

et al.

Published: Dec. 3, 2024

Synaptic inhibition is the mechanistic backbone of a suite cortical functions, not least which are maintaining network stability and modulating neuronal gain. In models with single inhibitory neuron class, stabilization gain control work in opposition to one another – meaning high coincides low vice versa. It now clear that diverse, molecularly distinguished cell classes having distinct positions within circuit. We analyze circuit pyramidal neurons (E) as well parvalbumin (PV) somatostatin (SOM) expressing interneurons. show how E PV SOM recurrently connected networks an SOM-mediated modulation can lead simultaneous increases stability. Our exposes impact mediated by depends critically on connectivity state.

Language: Английский

Citations

0