Search · four archives
Search · four archives
13 papers · ranked by Valyu relevance
He Chen, Jun Kunimatsu, Tomomichi Oya, Yuri Imaizumi + 5 more
Neural population dynamics, presumably fundamental computational units in the brain, provide a key framework for understanding information processing in the sensory, cognitive, and motor functions. However, neural population dynamics is not explicitly related to the conventional analytic framework for single-neuron…
Nosrat Mohammadi, Wilson Truccolo, Sydney S Cash, Anne-Lise Giraud + 1 more
Modeling and interpreting the complex recurrent dynamics of neuronal spiking activity is essential to understanding how networks implement behavior and cognition. Nonlinear Hawkes process models can capture a large range of spiking dynamics, but remain difficult to interpret, due to their discontinuous and stochastic…
Chenfei Zhang, Omer Revah, Fred Wolf, Andreas Neef
The information processing capabilities of large neuronal circuits form the basis of higher-level cognition. It is unknown how the constituent cells’ properties interact with the external stimuli to shape the network’s collective activity patterns and the associated computations. The dynamic gain function, a spectrally…
Szilvia Szeier, Henrik Jörntell
Behavior ultimately depends on the spatiotemporal patterns of the neuron population activity across the brain. Here we address the issue of how the evolving patterns of population activity can be governed by the intrinsically available mechanisms within the brain. We show how the control of the evolving activity can be…
Oleg Vinogradov, Emmanouil Giannakakis, Victor Buendía, Betül Uysal + 6 more
Neuronal cultures in vitro are a versatile system for studying the fundamental properties of individual neurons and neuronal networks. Recently, this approach has gained attention as a precision medicine tool. Mature neuronal cultures in vitro exhibit synchronized collective dynamics called network bursting. If…
Pau Clusella, Elif Köksal-Ersöz, Jordi Garcia-Ojalvo, Giulio Ruffini
Neural mass models (NMMs) are designed to reproduce the collective dynamics of neuronal populations. A common framework for NMMs assumes heuristically that the output firing rate of a neural population can be described by a static nonlinear transfer function (NMM1). However, a recent exact mean-field theory for…
Omer Revah, Fred Wolf, Michael J. Gutnick, Andreas Neef
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…
Hiba Sheheitli, Viktor Jirsa
We derive a next generation neural mass model of a population of quadratic-integrate-and-fire neurons, with slow adaptation, and conductance-based AMPAR, GABAR and nonlinear NMDAR synapses. We show that the Lorentzian ansatz assumption can be satisfied by introducing a piece-wise polynomial approximation of the…
Alex Spaeth, David Haussler, Mircea Teodorescu
Due to the complexity of neuronal networks and the nonlinear dynamics of individual neurons, it is challenging to develop a systems-level model which is accurate enough to be useful yet tractable enough to apply. Mean-field models which extrapolate from single-neuron descriptions to large-scale models can be derived…
Farshad Shirani, Hannah Choi
Overall balance of excitation and inhibition in cortical networks is central to their functionality and normal operation. Such orchestrated temporal co-evolution of excitation and inhibition is established through local connections, and is homeostatically regulated to keep the networks in a vigilant state, so that they…
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…
Dmitrii Zendrikov, Alexander Paraskevov
Thin pancake-like neuronal networks cultured on top of a planar microelectrode array have been extensively tried out in neuroengineering, as a substrate for the mobile robot’s control unit, i.e., as a cyborg’s brain. Most of these attempts failed due to intricate self-organizing dynamics in the neuronal systems. In…
Julian Bartram, Felix Franke, Sreedhar Saseendran Kumar, Alessio Paolo Buccino + 6 more
Self-sustained recurrent activity in cortical networks is thought to be important for multiple crucial processes, including circuit development and homeostasis. Yet, the precise relationship between the synaptic input patterns and the spiking output of individual neurons remains largely unresolved. Here, we developed…