Density-dependence of functional development in spiking cortical networks grown in vitro

  title={Density-dependence of functional development in spiking cortical networks grown in vitro},
  author={Michael I. Ham and Vadas Gintautas and Michael A. Rodriguez and Ryan A. Bennett and Cara L. Santa Maria and Lu{\'i}s M. A. Bettencourt},
  journal={Biological Cybernetics},
During development, the mammalian brain differentiates into specialized regions with distinct functional abilities. While many factors contribute to functional specialization, we explore the effect of neuronal density on the development of neuronal interactions in vitro. Two types of cortical networks, namely, dense and sparse with 50,000 and 12,500 total cells, respectively, are studied. Activation graphs that represent pairwise neuronal interactions are constructed using a competitive first… 
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity
Using Spike-contrast to complement established synchrony measures because it is timescale independent and robust to erroneous spike trains is suggested.


Functional structure of cortical neuronal networks grown in vitro.
An information-theoretic treatment of action potential time series measured with microelectrode arrays is applied to estimate the connectivity of mammalian neuronal cell assemblies grown in vitro and it is demonstrated that the connectivity maps derived from cultured neural assemblies are similar to other biological networks and display nontrivial structure.
A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro
Although a second-order maximum entropy model successfully predicts correlated states in cortical networks, it should be extended to account for temporal correlations observed between states, and a significant relationship between strong pairwise temporal correlations and observed sequence length is found.
An extremely rich repertoire of bursting patterns during the development of cortical cultures
Dissociated cultures of cortical cells exhibited a much richer repertoire of activity patterns than previously reported, except for the very sparsest cultures, which exhibited globally synchronized bursts, but bursting patterns changed over the course of development, and varied considerably between preparations.
Simultaneous induction of pathway-specific potentiation and depression in networks of cortical neurons.
Spontaneous coordinated activity in cultured networks: Analysis of multiple ignition sites, primary circuits, and burst phase delay distributions
This work quantitatively analyzed the ignition and spread of collective spontaneous electrophysiological activity in networks of cultured cortical neurons growing on microelectrode arrays and produced specific quantitative constraints and insights into the activation patterns of collective neuronal activity in self-organized cortical networks, which may prove useful for models emulating spontaneously active systems.
Neuronal Avalanches Are Diverse and Precise Activity Patterns That Are Stable for Many Hours in Cortical Slice Cultures
The long-term stability, diversity, and temporal precision of these avalanches indicate that they fulfill many of the requirements expected of a substrate for memory and suggest that they play a central role in both information transmission and storage within cortical networks.
Identification and dynamics of spontaneous burst initiation zones in unidimensional neuronal cultures.
Unidimensional cultures are used to overcome experimental difficulties in identifying initiation zones in vivo and in dissociated two-dimensional cultures to find that spontaneous activity in these cultures is initiated exclusively in localized zones that are characterized by high neuronal density but also by recurrent and inhibitory network connections.
Stable propagation of synchronous spiking in cortical neural networks
The results indicate that a combinatorial neural code, based on rapid associations of groups of neurons co-ordinating their activity at the single spike level, is possible within a cortical-like network.
The mechanisms of generation and propagation of synchronized bursting in developing networks of cortical neurons
The results suggest that the generation and propagation of spontaneous synchronous bursts in cultured cortical neurons is governed by the level of spontaneous presynaptic firing, by the degree of connectivity of the network, and by a distributed balance between excitation and recovery processes.
Development, learning and memory in large random networks of cortical neurons: lessons beyond anatomy
It is demonstrated that it is possible to embed functionality into ex-vivo networks, that is, to teach them to perform desired firing patterns in both time and space, by combining closed loop experiments and ensemble-defined rules of activity-dependent change.