Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synaptic activity patterns, but also on the strength of the connection itself. Namely, weaker synapses are more easily strengthened than already strong o...

The storage capacity of holographic associative memories is estimated. An argument based on the available degrees of freedom shows that the number of patterns that can be stored is limited by the space-bandwidth product of the hologram divided by the number of pixels in each pattern. A statistical calculation shows that if we attempt to store associations by multiply exposing the hologram, the ...

The adsorption of hydrogen molecules on the titanium metallocarbohedryne (met-car) cluster has been investigated by using the first-principles plane wave method. We have found that, while a single Ti atom at the corner can bind up to three hydrogen molecules, a single Ti atom on the surface of the cluster can bind only one hydrogen molecule. Accordingly, a Ti8C12 met-car can bind up to 16 H2 mo...

Multi-wavelength and multilevel (MWML) optical storage with photochromic media is a novel technology that can increase storage capacity and transfer rates significantly. Signal processing and coding methods for the MWML storage channel are introduced in this paper. Two-dimensional codes with parallel detection and equalization are studied to increase storage capacity and combat the crosstalk be...

The first renewable electrochemical energy system which stores more energy than gasoline is presented, and with an order of magnitude higher capacity than lithium-ion batteries, VB(2) opens a pathway towards electric vehicles with a viable driving range.

This work investigates the retrieval capacities of di erent types of nonmonotonic neurons. Storage capacity is maximized when the neuron response is a function with well de ned geometrical characteristics. Numerical experiments demonstrate that storage capacity is directly related to the dynamical property of the iterative map that describes the network evolution. Maximum capacity is reached wh...

This contribution discusses the thermodynamic phases and storage capacity of an extension of the Hopfield-Little model of associative memory via kernel functions. The analysis is presented for the case of polynomial and Gaussian kernels in a replica symmetry ansatz. As a general result we found for both kernels that the storage capacity increases considerably compared to the Hopfield-Little model.

• Is there a change in the groundwater flow system? If it is the case, could the change have been originated in the dammed water, after the construction and filling of the Yacyreta dykes (dam), given that the period when the increases were registered coincides with the closing of the main branch of the Parana River and the utilization of the derivation channel next to the Northern border of the...

Capacity credits, i.e., metrics that describe the contribution of different technologies in meeting load during peak periods, are widely used context long-term energy-system optimization models to ensure a pre-defined level firm capacity. In same vain, such capacity credits may be markets reflect availability an asset periods load. For storage it seems there is discrepancy between credit correc...