Comparison of the dynamics of neural interactions between current ...

We compared the single neuron and neural population dynamics of conductance-based networks (COBNs) and current-based networks (CUBNs) of LIF neurons.

Models of networks of Leaky Integrate-and-Fire (LIF) neurons are a widely used tool for theoretical investigations of brain function.

Comparison of the dynamics of neural interactions between current ...

Comparisons of single neuron and neural population dynamics of conductance-based networks of Leaky Integrate-and-Fire neurons show profound differences in ...

Comparison of the dynamics of neural interactions between current ...

These models have been used both with current- and conductance-based synapses. However, the differences ... Comparison of the dynamics of neural interactions ...

Comparison of the dynamics of neural interactions ... - OpenAlex

... brain function. These models have been used both with current- and conductance-bas... more. Source: Frontiers in Neural Circuits. Authors Stefano Cavallari ...

Comparison of the dynamics of neural interactions between current ...

Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks · List of references.

Principles of large-scale neural interactions - ScienceDirect.com

These recurrent connectivity patterns enable various patterns of aperiodic and rhythmic neural dynamics that are temporally coordinated between ...

Theory of Coupled Neuronal-Synaptic Dynamics

Both random-matrix and Lyapunov analysis show that strong Hebbian plasticity segregates network timescales into two bands, with a slow, synapse- ...

Neural dynamics of shifting attention between perception ... - PNAS

Yet, research has mainly considered external and internal attention in isolation. We used magnetoencephalography to compare the neural dynamics of shifting ...

Aligned and oblique dynamics in recurrent neural networks - eLife

This work provides an important and novel framework for interpreting the interactions between recurrent dynamics across stages of neural processing.

Dynamics and stability of neural systems with indirect interactions ...

Dynamical modelling for neural systems with direct and indirect connections is to understand how these connections contribute to neural dynamics. Despite recent ...

Neural dynamics and interactions in the human ventral visual pathway

Taken together with previous findings, the current results suggest ... An RDM was then built between the expressions in this feature space and compared to the ...

Metastable dynamics of neural circuits and networks - AIP Publishing

In this Review, we focus on neural dynamics that is best understood as a sequence of repeated activations of a number of discrete hidden states.

Neural timescales from a computational perspective - arXiv

Moreover, in the presence of non-linear recurrent interactions, the input can modulate the global state of network dynamics [68] and alter ...

Feedforward and feedback interactions between visual cortical ...

One approach for identifying feedforward signaling is to present a stimulus and then compare the timing of neuronal response onsets across areas ...

A Computational Model of Interactions Between Neuronal ... - Frontiers

Recent research in neuroscience indicates the importance of tripartite synapses and gliotransmission mediated by astrocytes in neuronal ...

Large-scale neural dynamics in a shared low-dimensional state ...

Whole-brain dynamics traversed a common set of latent states that spanned canonical gradients of functional brain organization, with global ...

Differences in the expression of cortex-wide neural dynamics are ...

Our results suggest that differences in behavior and functional connectivity are due to changes in the processes that select which pattern of neural activity is ...

Shared Neural Activity But Distinct Neural Dynamics for Cognitive ...

Oscillatory dynamics in local field potentials differed between cortical areas and carried as much information about task conditions as spike ...

Comparison between an exact and a heuristic neural mass model ...

Neural mass models (NMMs) are designed to reproduce the collective dynamics of neuronal populations. A common framework for NMMs assumes ...