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Directional intermodular coupling enriches functional complexity in biological neuronal networks
However, this topology is dissimilar to the network formed by dissociated neurons in culture because they form randomly connected networks on homogeneous substrates.
Model-Free Idealization: Adaptive Integrated Approach for Idealization of Ion Channel Currents (AI2)
The first step in the analysis of the recorded currents involves an "idealization" process, in which noisy raw data are classified into two discrete levels corresponding to the open and closed states of channels.
Biological neurons act as generalization filters in reservoir computing
We first show that modular BNNs can be used to classify static input patterns with a linear decoder and that the modularity of the BNNs positively correlates with the classification accuracy.
Modular architecture facilitates noise-driven control of synchrony in neuronal networks
Brain functions require both segregated processing of information in specialized circuits, as well as integration across circuits to perform high-level information processing.
Microfluidic cell engineering on high-density microelectrode arrays for assessing structure-function relationships in living neuronal networks
Neuronal networks in dissociated culture combined with cell engineering technology offer a pivotal platform to constructively explore the relationship between structure and function in living neuronal networks.
Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits
At such an intermediate scale, the firing activity in the microcircuits is governed by collective effects emerging by the background noise soliciting spontaneous firing, the degree of mutual connections between the neurons, and the topology of the connections.
