ArticlePLoS computational biology2018
Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed.
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- Toward reliable machine learning models for neural circuit inference: A diagnostic study of CNNs on spike trains.PLoS computational biology · 2026Article
- Representation Transfer via Invariant Input-driven Continuous Attractors for Fast Domain Adaptation.Communications biology · 2026Article
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
- Spontaneous Dynamics Predict the Effects of Targeted Intervention in Hippocampal Neuronal Cultures.bioRxiv : the preprint server for biology · 2025Article
- Direct effects of prolonged TNF-α and IL-6 exposure on neural activity in human iPSC-derived neuron-astrocyte co-cultures.Frontiers in cellular neuroscience · 2025Article
- Stimulus type shapes the topology of cellular functional networks in mouse visual cortex.Nature communications · 2024Article
- Thermodynamic analog of integrate-and-fire neuronal networks by maximum entropy modelling.Scientific reports · 2024Article
- Biphasic response of human iPSC-derived neural network activity following exposure to a sarin-surrogate nerve agent.Frontiers in cellular neuroscience · 2024Article
- Stimulus-dependent functional network topology in mouse visual cortex.bioRxiv : the preprint server for biology · 2023Article
- Article
- Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays.PLoS computational biology · 2023Article
- Nanomaterial-based microelectrode arrays for in vitro bidirectional brain-computer interfaces: a review.Microsystems & nanoengineering · 2023Review
- Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array.Frontiers in cellular neuroscience · 2023Article
- Inferring the temporal evolution of synaptic weights from dynamic functional connectivity.Brain informatics · 2022Article
- Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering.Brain sciences · 2022Review
- Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.BMC medical informatics and decision making · 2022Article
- Stimulus-Evoked Activity Modulation of In Vitro Engineered Cortical and Hippocampal Networks.Micromachines · 2022Article
- Maximum entropy models provide functional connectivity estimates in neural networks.Scientific reports · 2022Article
- Ultra-parallel label-free optophysiology of neural activity.iScience · 2022Article
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4 authors.
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Abstract
Functional-effective connectivity and network topology are nowadays key issues for studying brain physiological functions and pathologies. Inferring neuronal connectivity from electrophysiological recordings presents open challenges and unsolved problems. In this work, we present a cross-correlation based method for reliably estimating not only excitatory but also inhibitory links, by analyzing multi-unit spike activity from large-scale neuronal networks. The method is validated by means of realistic simulations of large-scale neuronal populations. New results related to functional connectivity estimation and network topology identification obtained by experimental electrophysiological recordings from high-density and large-scale (i.e., 4096 electrodes) microtransducer arrays coupled to in vitro neural populations are presented. Specifically, we show that: (i) functional inhibitory connections are accurately identified in in vitro cortical networks, providing that a reasonable firing rate and recording length are achieved; (ii) small-world topology, with scale-free and rich-club features are reliably obtained, on condition that a minimum number of active recording sites are available. The method and procedure can be directly extended and applied to in vivo multi-units brain activity recordings.
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