The research of the derivative nonlinear Schrödinger equation (DNLS) has attracted more and extensive attention in theoretical analysis physical application. improved physics-informed neural network (IPINN) approach with neuron-wise locally adaptive activation function is presented to derive data-driven localized wave solutions, which contain rational solution, soliton rogue wave, periodic for ...

This paper presents our research in image processing (filters used for edges detection, color transformation, and distortion correction) using Artificial Neural Networks. We have developed a tool, Neuron Color, in order to do this kind of experiments and improving our adaptive methods.

Many developing networks generate spontaneous network activity (SNA) that plays an important role in setting up functional circuitry, but how the proper level and pattern of SNA is itself maintained has not been clear. In this issue of Neuron, Gonzalez-Islas and Wenner show that SNA in the intact embryo regulates itself through a set of adaptive homeostatic plasticity mechanisms.

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A key feature of an adaptive decision making mechanism is its ability to guide behavior even in new situations. In this issue of Neuron, Kumaran et al. report that conceptual representations, which allow generalization from one situation to another through their shared features, can guide decisions even when new problems are encountered via the hippocampus.

Recent studies suggest that none of the behaviors of the vertebrate CNS are fixed responses incapable of change. Even the simplest reflex of all, the two-neuron, monosynaptic spinal stretch reflex (SSR), undergoes adaptive change under appropriate circumstances. Operantly conditioned SSR change occurs gradually over days and weeks and is associated with a complex pattern of CNS plasticity at bo...

Adolescence is a time of tumultuous behavior that may result, in part, from brain circuitry that enhances reward seeking. In this issue of Neuron, Davidow et al. (2016) present a convincing argument that adolescent brain functionality can be adaptive in certain contexts, particularly probabilistic learning environments.

In this issue of Neuron, Hamilton et al. (2013) stimulate identified inhibitory interneurons with optogenetics, revealing powerful control of the flow of sensory responses across cortical layers. During natural behavior, these influences may mediate the rapid adaptive abilities necessary for detection and perception of sensory signals in noisy environments.

In this issue of Neuron, Stokes et al. (2013) demonstrate that cortical neurons that adapt their properties with task demands form patterns reflecting the shifting mental states needed to solve the task. Adaptive neurons may be critical to hallmarks of cognition: behavioral complexity and flexibility.