We use dynamic clamp to construct "hybrid" thalamic circuits by connecting a biological neuron in situ to silicon- or software-generated "neurons" through artificial synapses. The purpose is to explore cellular sensory gating mechanisms that regulate the transfer efficiency of signals during different sleep-wake states. Hybrid technology is applied in vitro to different paradigms such as: (1) s...

Computational Intelligence (CI) is a sub-branch of Artificial Intelligence paradigm focusing on the study of adaptive mechanisms to enable or facilitate intelligent behavior in complex and changing environments. There are several paradigms of CI [like artificial neural networks, evolutionary computations, swarm intelligence, artificial immune systems, fuzzy systems and many others], each of the...

The high energy consumption of electronic data processors, together with physical challenges limiting their further improvement, has triggered intensive interest in alternative computation paradigms. Here we focus on network-based biocomputation (NBC), a massively parallel approach that benefits from the efficiency biological agents, such as molecular motors or bacteria, and availability large ...

The principles of biochemistry are historically linked to studies on fermentation and the role enzymes in this process. Thousands reactions catalyzed by that responsible for vital phenomena take place cells. In later stages it has been shown these an organized regulated manner intracellular space. Later, biochemical processes such as DNA duplication gene expression have revealed information rea...

Current theoretical models of emotion highlight the importance of distinguishing depression and anxiety. The present article critically evaluates a number of these models and provides a practical framework that could be applied in future studies to better understand the neural substrates that contribute to variation in anxiety and depressed mood. One influential model, the tripartite model, sug...

The performances of lubricated systems widely used in natural, biological, and artificial settings are traditionally dictated by their load bearing capacities. Here we unveil that, exploiting a unique coupling between interfacial electro-mechanics, hydrodynamics substrate compliance, it is plausible to realize massive augmentation the capacities ofcompliant microfluidic channels. Our analysis d...

Summary Clinical trials involving brain disorders are notoriously difficult to set up and run. Innovative ways develop effective prevention treatment strategies for central nervous system (CNS) diseases urgently needed. New approaches that likely renew or at least modify the paradigms used so far have been recently proposed. Quantitative systems pharmacology (QSP) uses mathematical computerized...

In recent years, the rapid increase in data volume to be processed has led urgent requirements for highly efficient computing paradigms. Brain-like that mimics way biological brain processes information attracted growing interest due extremely high energy efficiency. Particularly, dynamics play an essential role neural spike processing. Here, we offer a brief review and perspective field of ele...

Nature-inspired computing is a type of human-designed motivated by nature, which based on the employ paradigms, mechanisms, and principles underlying natural systems. In this article, versatile vigorous bio-inspired branch computing, named membrane discussed. This paradigm aroused internal function structure biological cells. We first introduce some basic concepts formalisms then types or varia...