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Search · four archives
23 papers · ranked by Valyu relevance
Wilten Nicola, Sue Ann Campbell
Firing rate fluctuations in neural populations are observed experimentally over multiple time scales, in single neurons, across trials when elicited by stimuli, and across populations. In this work, we examine how firing rate fluctuations emerge in networks of coupled integrate-and-fire neurons as a function of the…
Arnab Dey Sarkar, Bard Ermentrout
In the classic view of cortical rhythms, the interaction between excitatory pyramidal neurons (E) and inhibitory parvalbumin neurons (I) has been shown to be sufficient to generate gamma and beta band rhythms. However, it is now clear that there are multiple inhibitory interneuron subtypes and that they play important…
Akke Mats Houben, Jordi Garcia-Ojalvo, Jordi Soriano, Matthias Helge Hennig
An inherent challenge in designing laboratory-grown, engineered living neuronal networks lies in predicting the dynamic repertoire of the resulting network and its sensitivity to experimental variables. To fill this gap, and inspired by recent experimental studies, we present a numerical model designed to replicate the…
Domenico Guarino, Anton Filipchuk, Alain Destexhe
Cortical population events, short-lived patterns of neuronal activity that recur with some consistency, are central to sensorimotor coordination. These reproducible firing patterns are often attributed to attractor dynamics, supported by strong mutual connectivity. However, using multi-modal datasets — including…
Luca Falorsi, Gianni Valerio Vinci., Maurizio Mattia
Incorporating an absolute refractory period into the population density approach for spiking neurons remains an open problem, despite evidence that refractoriness can strongly affect nonlinear transfer functions and network stability. We develop a rigorous operator-theoretic framework for neuronal population dynamics…
Jacob Thomas-Hegarty, Stefan R. Pulver, V Anne Smith
Neural information flow describes the movement of activity between neurons or brain areas. Advances in experimental methods have allowed production of large amounts of observational data related to neuronal activity from the single-neuron to population level. Most current methods for analysing these data are based on…
Farzin Tahvili, Martin Vinck, Matteo Di Volo, Sacha Jennifer van Albada
Classic theoretical models of cortical oscillations are based on the interactions between two populations of excitatory and inhibitory neurons. Nevertheless, experimental studies and network simulations suggest that interneuron subclasses such as parvalbumin (PV) and somatostatin (SOM) exert distinct control over…
Omer Revah, Fred Wolf, Michael J. Gutnick, Andreas Neef + 1 more
Sixty years after the concept of population coding in neuronal networks was introduced, we still lack a comprehensive understanding of its performance limits and the role of neuronal physiology. Here, we use dynamic gain analysis in a general model of population coding and demonstrate that disparate parameters of…
S. Yu. Kirillov, O. A. Goryunov, J. Zhu, V. V. Klinshov
While recent advances in next-generation neural mass models provide exact descriptions of densely coupled neural populations in the thermodynamic limit, populations in vivo remain strictly finite in size. Finite-size effects introduce stochastic fluctuations whose impact on network dynamics depends on their spectral…
Joram Keijser, Sadra Sadeh
Neural computation spans a range of scales, from dendritic integration within individual neurons to collective dynamics across networks. Voltage imaging provides a powerful approach to study these processes, as it captures both spiking and subthreshold activity of genetically defined populations with high temporal…
Yavuz Selim Uzun, Renata Santos, Maria C. Marchetto, Krishnan Padmanabhan
Multi-electrode recording of neuronal activity in cultures offer opportunities for understanding how the structure of a network gives rise to function. Neuronal cultures derived from human induced pluripotent stem cells (iPSCs) from male and female individuals are often plated at highly variable cell densities across…
Maxime Janbon, Mateo Amortegui, Enrique Carlos Arnoldo Hansen, Sarah Nourin + 2 more
Neuronal avalanches are sequences of neural activations that exhibit scale-invariant statistics, suggesting neural activity operates near a critical point. Theoretical studies proposed that the balance between excitation (E) and inhibition (I), along with neuromodulation, are key factors influencing this critical…
Meiyi Zhang, Jinjian Yu, Louis Tao, Yuxiu Shao
Recent breakthroughs in synaptic-resolution network connectomics have revealed that brain circuits feature fine-scale structural connectivity, such as pairs of correlated synaptic couplings known as second-order motifs. Large-scale recordings of neuronal activity in networks containing nonlinear neurons reveal…
Francesca Di Patti, Duccio Fanelli, Perla Rosi
Stochastic oscillations can emerge from a two-population model as triggered by endogenous finite size fluctuations. Here, an extended dynamical scenario is considered in which a third fluctuating species is added to a proto-typical scheme of neuronal interaction. As we shall prove both analytically and numerically, the…
Vipin Kumar, Victor M. Sanchez Franco, Faith S. Ferry, Yizhou Xie + 11 more
Microscale biophysical alterations in neuronal dynamics can have profound implications for macroscale pathological outcomes in the brain. Despite the critical need to link neuronal perturbations to large-scale disease manifestations, few studies successfully bridge these hierarchical scales. Here, we bridge microscale…
Yannael Bossard, Lehna Bekri, Alain Destexhe
Many pharmacological and pathological mechanisms act at molecular, synaptic, or cellular scales, whereas the resulting phenomena of interest are often measured at the level of cortical populations and whole-brain recordings. This scale gap motivates reduced models that remain biologically interpretable while being…
Simachew Abebe Mengiste, Ad Aertsen, Arvind Kummar, Demian Battaglia
Neurodegeneration progressively removes synapses and neurons, yet neural circuits can retain stable collective dynamics despite substantial structural loss. Which structural principles confer this resilience remained unclear. Using large-scale spiking networks spanning empirical and synthetic microcircuit…
Margarita A. Novikova, David Jappy, Dmitrii A. Fedorov, Elizaveta A. Klimanova + 7 more
Ca2+ influx is usually considered a central trigger of neuronal plasticity, especially in mechanisms related to transmitter release and synaptic modification. However, plasticity may also involve mechanisms that do not require Ca2+ influx into neurons. We tested whether short-term plasticity can occur in the CA1 region…
Yuncheng You
Hodgkin-Huxley equations as a monumental breakthrough in biological and physiological theory of the 20th century had been distilled into many simplified models to study, typically FitzHugh-Nagumo equations and Hindmarsh-Rose equations, but the model itself not being fully investigated in terms of global and asymptotic…
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Acetylcholine (ACh) is a key neurotransmitter involved in cognitive function, motor control, and synaptic modulation, yet its electrochemical inactivity and the rapid kinetics of exocytosis have hindered real-time quantal detection. Previous micrometer-scale enzymatic ACh biosensors enabled sub-millisecond…
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TIMP2 (Tissue Inhibitor of Metalloproteinase-2) plays a crucial role in hippocampal neuroplasticity and cognitive function through MMP-independent signaling. Despite its therapeutic promise, TIMP2 has long been considered 'undruggable' due to its cryptic surface topology and lack of canonical active sites. We present a…
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Channelrhodopsin-2 (ChR2) is a light-gated ion channel widely used in optogenetics, a technique that enables precise control of neuronal activity by genetically engineering light-sensitive proteins into cell membranes. This protein exists in dimeric form, with each monomer containing a retinal Schiff base (RSB) moiety…
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Hybridization of a molecular exciton with a quantized photon creates a polariton. Despite extensive experimental investigations, the apparent lifetime of the exciton-polariton is not well understood. We examined the steady-state population dynamics for a Holstein-Tavis-Cumming Hamiltonian to illuminate the long-term…