This paper compares mechanisms for generating repetitive spikes (bursts) in neural and transcriptional circuits. Neurons generate bursts followed by refractory periods controlled by ion channels in the membrane. In contrast, in gene transcription the bursts occur during a short time period followed by silent periods regulated by sis-regulatory elements. The role of excitability in producing different patterns of bursts is discussed by comparing the topology of a neural model with natural and synthetic transcriptional genetic circuits. In particular, a special bi-excitable architecture which embeds two excitable states are compared in these systems
The co-existence of bursting activity and silence is a common property of various neuronal models. W...
Neuronal action potentials or spikes provide a long-range, noise-resistant means of communication be...
The development of quantitative models that describe how neural inputs control the electrophysiologi...
This paper compares mechanisms for generating repetitive spikes (bursts) in neural and transcription...
The long-term changes of the neuron function are often related to the interplay of the membrane volt...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
Activity types of isolated neurons and their models may be generically classified as hyper- and depo...
Flexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending...
Multistability of oscillatory and silent regimes is a ubiquitous phenomenon exhibited by excitable s...
<div><p>The dynamics of individual neurons are crucial for producing functional activity in neuronal...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Synthetic biology opens up the possibility of creating circuits that would not survive in the natura...
Several firing patterns experimentally observed in neural populations have been successfully correla...
Neurons compute and communicate by transforming synaptic input patterns into output spike trains. Th...
The relationship between spiking and bursting dynamics is a key question in neuroscience, particular...
The co-existence of bursting activity and silence is a common property of various neuronal models. W...
Neuronal action potentials or spikes provide a long-range, noise-resistant means of communication be...
The development of quantitative models that describe how neural inputs control the electrophysiologi...
This paper compares mechanisms for generating repetitive spikes (bursts) in neural and transcription...
The long-term changes of the neuron function are often related to the interplay of the membrane volt...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
Activity types of isolated neurons and their models may be generically classified as hyper- and depo...
Flexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending...
Multistability of oscillatory and silent regimes is a ubiquitous phenomenon exhibited by excitable s...
<div><p>The dynamics of individual neurons are crucial for producing functional activity in neuronal...
Several studies have shown that bursting neurons can encode information in the number of spikes per ...
Synthetic biology opens up the possibility of creating circuits that would not survive in the natura...
Several firing patterns experimentally observed in neural populations have been successfully correla...
Neurons compute and communicate by transforming synaptic input patterns into output spike trains. Th...
The relationship between spiking and bursting dynamics is a key question in neuroscience, particular...
The co-existence of bursting activity and silence is a common property of various neuronal models. W...
Neuronal action potentials or spikes provide a long-range, noise-resistant means of communication be...
The development of quantitative models that describe how neural inputs control the electrophysiologi...