To perform research on learning in cultures of mouse neurons, a hardware and software system for interfacing a biological neuronal culture to a robot arm has been constructed. The software architecture is modular, which permits simulated neurons to be used in place of biological neurons. In both cases, the activity of the culture over time is represented as an activation vector that captures re...

The effect of time correlations in the afferent current on the firing rate of a generalized integrate-and-fire neuron model is studied. When the correlation time τc is small enough the firing rate can be calculated analytically for small values of the correlation amplitude α. It is shown that the rate decreases as √ τc from its value at τc = 0. This limit behavior is universal for integrate-and...

Matt Stowe and Subhash Kak . Abstract: This paper examines the memory capacity of generalized neural networks. Hopfield networks trained with a variety of learning techniques are investigated for their capacity both for binary and non-binary alphabets. It is shown that the capacity can be much increased when multilevel inputs are used. New learning strategies are proposed to increase Hopfield n...

We present a case of a 7-month-old Filipino who manifested with generalized muscle atrophy and areflexia. She had weak gag reflex and tongue fasciculations. She eventually developed feeding difficulty and recurrent pneumonia. Laboratory work-up showed a slightly elevated serum creatinine kinase (CK) and myopathic changes on electromyography and nerve conduction velocity (EMGNCV) studies. Geneti...

Human embryonic stem (ES) cells are undifferentiated pluripotent cells derived from the inner cell mass of blastocyst stage embryos. These unique cell lines have the potential to form virtually any cell type in the body and can be propagated in vitro indefinitely in an undifferentiated state. These cells are capable of forming embryoid bodies (EB) that contain cells from all three embryonic lin...

Abstract Erosion and sedimentation are the most complicated problems in hydrodynamic which are very important in water-related projects of arid and semi-arid basins. For this reason, the presence of suitable methods for good estimation of suspended sediment load of rivers is very valuable. Solving hydrodynamic equations related to these phenomenons and access to a mathematical-conceptual mode...

High-precision operational flight loads are essential for monitoring fatigue of individual aircraft and usually determined by parameters. To tackle the nonlinear relationship between parameters more accurate prediction loads, artificial neural networks have been widely studied. However, there still two major problems, namely training strategy sensitivity analysis For first problem, gradient des...