Basal ganglia-cortical connectivity underlies self-regulation of brain oscillations in humans DOI Creative Commons
Kazumi Kasahara, Charles S. DaSalla,

Manabu Honda

et al.

Communications Biology, Journal Year: 2022, Volume and Issue: 5(1)

Published: July 16, 2022

Abstract Brain-computer interfaces provide an artificial link by which the brain can directly interact with environment. To achieve fine brain-computer interface control, participants must modulate patterns of cortical oscillations generated from motor and somatosensory cortices. However, it remains unclear how humans regulate oscillations, controllability substantially varies across individuals. Here, we performed simultaneous electroencephalography (to assess control) functional magnetic resonance imaging measure activity) in healthy participants. Self-regulation induced activity basal ganglia-cortical network neurofeedback control network. Successful self-regulation correlated striatal network, through were likely modulated. Moreover, connectivity strong weak self-regulation, respectively. The findings indicate that is important for understanding should help advance technology.

Language: Английский

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

et al.

Trends in Neurosciences, Journal Year: 2022, Volume and Issue: 45(12), P. 884 - 898

Published: Oct. 28, 2022

Language: Английский

Citations

59
Spike timing-dependent plasticity and memory DOI Creative Commons
Dominique Debanne,

Yanis Inglebert

Current Opinion in Neurobiology, Journal Year: 2023, Volume and Issue: 80, P. 102707 - 102707

Published: March 14, 2023

Language: Английский

Citations

41
Perspectives on adaptive dynamical systems DOI Creative Commons
Jakub Sawicki, Rico Berner, Sarah A. M. Loos

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(7)

Published: July 1, 2023

Adaptivity is a dynamical feature that omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear various real-world systems, such as the power grid, social, neural networks, they form backbone of closed-loop control strategies machine learning algorithms. In this article, we provide an interdisciplinary perspective on systems. We reflect notion terminology adaptivity different disciplines discuss which role plays for fields. highlight common open challenges give perspectives future research directions, looking to inspire approaches.

Language: Английский

Citations

32
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits DOI Creative Commons
Lyes Khacef, P. Klein, Matteo Cartiglia

et al.

Neuromorphic Computing and Engineering, Journal Year: 2023, Volume and Issue: 3(4), P. 042001 - 042001

Published: Oct. 23, 2023

Abstract Understanding how biological neural networks carry out learning using spike-based local plasticity mechanisms can lead to the development of real-time, energy-efficient, and adaptive neuromorphic processing systems. A large number models have recently been proposed following different approaches. However, it is difficult assess if these be easily implemented in hardware, compare their features ease implementation. To this end, survey, we provide an overview representative brain-inspired synaptic mixed-signal complementary metal–oxide–semiconductor circuits within a unified framework. We review historical, experimental, theoretical approaches modeling plasticity, identify computational primitives that support low-latency low-power hardware implementations rules. common definition locality principle based on pre- postsynaptic signals, which propose as important requirement for physical circuits. Based principle, properties same framework, describe set electronic used implement computing principles, build efficient on-chip online

Language: Английский

Citations

28
Stimulus novelty uncovers coding diversity in visual cortical circuits DOI Creative Commons
Marina Garrett, Peter A. Groblewski, Alex T. Piet

et al.

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

Published: Feb. 15, 2023

The detection of novel stimuli is critical to learn and survive in a dynamic environment. Though powerfully affect brain activity, their impact on specific cell types circuits not well understood. Disinhibition one candidate mechanism for novelty-induced enhancements activity. Here we characterize the stimulus novelty disinhibitory circuit components using longitudinal 2-photon calcium imaging Vip, Sst, excitatory populations mouse visual cortex. Mice behavioral task with that become highly familiar, then are tested both familiar stimuli. consistently perform stimuli, yet responses presentations omissions dramatically altered. Further, find modifies coding as information. At population level, direction these changes consistent engagement Vip-Sst circuit. single identify separate clusters cells unique patterns changes. This study accompanying open-access dataset reveals sensory representations cortical establishes key driver cellular functional diversity.

Language: Английский

Citations

24
Behavior-relevant top-down cross-modal predictions in mouse neocortex DOI
Shuting Han, Fritjof Helmchen

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(2), P. 298 - 308

Published: Jan. 4, 2024

Language: Английский

Citations

12
Frequency-specific modulation of motor cortical excitability by transcranial alternating current stimulation DOI Creative Commons
Tingting Liu, Lilin Chen,

Wang Chuangjia

et al.

Journal of NeuroEngineering and Rehabilitation, Journal Year: 2025, Volume and Issue: 22(1)

Published: March 27, 2025

Transcranial alternating current stimulation (tACS) is a non-invasive technique that modulates neural oscillations, yet its specific effects on cortical excitability are not well-understood. This study investigated the of tACS neuroplasticity in primary motor cortex (M1) across different frequencies. In this randomized, sham-controlled, crossover study, 18 healthy young adults received β-tACS γ-tACS, and sham over M1. Neurophysiological responses were assessed using evoked potentials (MEPs), electroencephalograms (EEG), transcranial (TEPs) to determine frequency-specific neuroplasticity. γ-tACS significantly enhanced excitability, as reflected by larger MEP amplitudes compared both stimulation. addition, resulted smaller M1-P15 TEP than other conditions. contrast, did produce significant changes either MEPs or TEPs These findings provide evidence induces frequency-dependent within selective modulation with suggests potential therapeutic intervention for optimizing function rehabilitation. was registered Chinese Clinical Trial Registry (ChiCTR2300074898, date registration: 2023/08/18).

Language: Английский

Citations

1
Simple synaptic modulations implement diverse novelty computations DOI Creative Commons
Kyle Aitken, Luke Campagnola, Marina Garrett

et al.

Cell Reports, Journal Year: 2024, Volume and Issue: 43(5), P. 114188 - 114188

Published: May 1, 2024

Detecting novelty is ethologically useful for an organism's survival. Recent experiments characterize how different types of over timescales from seconds to weeks are reflected in the activity excitatory and inhibitory neuron types. Here, we introduce a learning mechanism, familiarity-modulated synapses (FMSs), consisting multiplicative modulations dependent on presynaptic or pre/postsynaptic activity. With FMSs, network responses that encode emerge under unsupervised continual minimal connectivity constraints. Implementing FMSs within experimentally constrained model visual cortical circuit, demonstrate generalizability by simultaneously fitting absolute, contextual, omission effects. Our also reproduces functional diversity cell subpopulations, leading testable predictions about synaptic dynamics can produce both population-level heterogeneous individual signals. Altogether, our findings simple plasticity mechanisms circuit structure qualitatively distinct complex responses.

Language: Английский

Citations

7
Meta-learning synaptic plasticity and memory addressing for continual familiarity detection DOI Creative Commons

Danil Tyulmankov,

Guangyu Robert Yang,

L. F. Abbott

et al.

Neuron, Journal Year: 2021, Volume and Issue: 110(3), P. 544 - 557.e8

Published: Dec. 2, 2021

Language: Английский

Citations

37
Formation and computational implications of assemblies in neural circuits DOI Creative Commons
Christoph Miehl, Sebastian Onasch, Dylan Festa

et al.

The Journal of Physiology, Journal Year: 2022, Volume and Issue: 601(15), P. 3071 - 3090

Published: Sept. 7, 2022

Abstract In the brain, patterns of neural activity represent sensory information and store it in non‐random synaptic connectivity. A prominent theoretical hypothesis states that assemblies, groups neurons are strongly connected to each other, key computational units underlying perception memory formation. Compatible with these hypothesised experiments have revealed display synchronous activity, either spontaneously or upon stimulus presentation, exhibit behavioural relevance. While remains unclear how assemblies form work has vastly contributed understanding various interacting mechanisms this process. Here, we review recent literature on assembly formation by categorising involved into four components: plasticity, symmetry breaking, competition stability. We highlight different approaches assumptions behind discuss ideas as unit brain. image

Language: Английский

Citations

23