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A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations
TLDR
It is shown that a triplet model of spike-timing–dependent plasticity (STDP) that depends on the interactions of three precisely timed spikes can induce selectivity for input patterns consisting of higher-order spatiotemporal correlations, which exist in natural stimuli and have been measured in the brain.
Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling
TLDR
A CPG network model is developed that recapitulates crawling behavior of newly hatched Drosophila larvae based on segmentally repeated units of excitatory and inhibitory neuronal populations coupled with immediate neighboring segments, and two types of connectivity could synchronize activity of two independent networks.
Benefits of Pathway Splitting in Sensory Coding
TLDR
The results suggest that the evolution of ON–OFF diversification in sensory systems may be driven by the benefits of lowering average metabolic cost, especially in a world in which the relevant stimuli are sparse.
Emergence of Adaptive Computation by Single Neurons in the Developing Cortex
TLDR
Through a combination of electrophysiology and modeling, it is demonstrated that developing cortical neurons develop the ability to perform nearly perfect gain scaling by virtue of the maturing spike-generating currents alone.
TURING PATTERNS ON GROWING SPHERES: THE EXPONENTIAL CASE
We consider Turing patterns for reaction-diusion systems on the surface of a growing sphere. In particular, we are interested in the eect of dynamic growth on the pattern formation. We consider
Neurobiology of Caenorhabditis elegans Locomotion: Where Do We Stand?
TLDR
The nematode Caenorhabditis elegans is used for detailed studies of genetic and physiological locomotion mechanisms, and locomotion behavior, the parts constituting the locomotion system, and the relevant neuronal connectivity are described.
Intrinsic Neuronal Properties Switch the Mode of Information Transmission in Networks
TLDR
This work investigates the potential role of experimentally observed changes in intrinsic neuronal properties in determining the ability of cortical networks to propagate waves of activity, and suggests a role for background synaptic noise in switching the mode of information transmission.
When do microcircuits produce beyond-pairwise correlations?
TLDR
The emergence of higher-order interactions in a model of the RGC circuit in which correlations are generated by common input is studied, finding that over a broad range of stimuli, output spiking patterns are surprisingly well captured by the pairwise model.
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