a semi-micromechanical multilaminate model is introduced here to predict the mechanical behavior of soils. this model is like a bridge between micro and macro scale upon the satisfaction of minimum potential energy level during any applied stress/strain increments. the concept of this model is based on a certain number of sampling planes which constitute the elastic-plastic behavior of the soil...

Experimental and computational analyses of cerebellar function indicate that excitatory synapses onto deep nucleus neurons are likely to be a critical site of plasticity during motor learning. In this issue of Neuron, Pugh and Raman report that unconventional stimulus protocols can drive synaptic plasticity in the deep cerebellar nuclei.

1.4.4 Estradiol effects on central nervous system 23

Neuromorphic chip refers to an unconventional computing architecture that is modelled on biological brains. It is ideally suited for processing sensory data for intelligence computing, decision-making or context cognition. Despite rapid development, conventional artificial synapses exhibit poor connection flexibility and require separate data acquisition circuitry, resulting in limited function...

Abstract Self-assembled memristive nanonetworks composed of many interacting nano objects have been recently exploited for neuromorphic-type data processing and the implementation unconventional computing paradigms, such as reservoir computing. In these networks, information tasks are performed by exploiting emergent network behaviour without need fine tuning its components. Here, we propose gr...

The problem of two interacting particles moving in a d-dimensional billiard is considered here. A suitable coordinate transformation leads to the problem of a particle in an unconventional hyperbilliard. A dynamical map can be readily constructed for this general system, which greatly simplifies calculations. As a particular example, we consider two identical particles interacting through a scr...

Review by Genaro J. Mart́ınez Instituto de Ciencias Nucleares, Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, México International Center of Unconventional Computing, University of the West of England, Bristol, United Kingdom Artificial Life, Massachusetts Institute of Technology, Vol. 18, No. 3, Pages 325–328, 2012 DOI:10.1162/artl r 00068 http://www.mitpressjour...

A memristor is a two-terminal nanodevice that its properties attract a wide community of researchers from various domains such as physics, chemistry, electronics, computer and neuroscience. The simple structure for manufacturing, small scalability, nonvolatility and potential of using in low power platforms are outstanding characteristics of this emerging nanodevice. In this report, we review a...