Publications by Year: 1996

1996
AJ Agranat, O Schwartzglass, and J Shappir. 1996. “The charge controlled analog synapse.” Solid State Electronics 39 (10), Pp. 1435 - 1439. Publisher's Version Abstract
A generic circuit, the charge controlled analog synapse (CCAS) is presented. The CCAS is designed to be the basic building block in microelectronic realizations of large scale artificial neural networks. It is based on representing the synaptic strength as a charge packet which controls the junction capacitance of a reverse biased diode. The CCAS is a synapse with three main features: (i) a small cell with few components per cell; (ii) a short term dynamic memory, and (iii) a variable accuracy which depends on the cell size. The principle of operation of the CCAS is explained. Details of the design of a first prototype are given. Experimental results which substantiate the theoretical predictions are presented. Finally, the basic properties of the CCAS are discussed. Copyright (C) 1996 Elsevier Science Ltd
Offer Schwartzglass and Aharon J Agranat. 1996. “Letter: VLSI implementation of pulsating neural networks.” Neurocomputing, 10, Financial Applications, Pp. 405 - 413. Publisher's Version Abstract
We describe a generic approach for realizing networks of pulsating neurons based on charge pumping of interface states situated in the channel of MOS transistors. Two basic building blocks will be described: the pulse activated charge pumping (PSCP) synapse, and the charge sensitive oscillator (CSO). The PSCP synapse which operates as either a short or a long term memory device which produces a charge packet proportional to the number of pulses applied to its input, will be described in detail together with experimental results demonstrating its capability. The CSO circuit which is a charge controlled oscillator will be described together with simulations of its output frequency dependence on its input voltage, and the relation between the temporal dependence of output waveform on its input charge.
Accession Number: 0925231296001385; Author: Schwartzglass, Offer (a); Author: Agranat, Aharon J. (∗, a); Affiliation: Division of Applied Physics and the Interdisciplinary Center for Neural Computation, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; Number of Pages: 9; Language: English;
M Balberg, M Razvag, S Vidro, E Refaeli, and AJ Agranat. 1996. “Electroholographic neurons implemented on potassium lithium tantalate niobate crystals.” Optics Letters , 21, 19, Pp. 1435-1439. Abstract
We describe a new approach for constructing large-scale artificial neural networks. The novelty of our approach is based on the concept of electroholography (EH), which permits interconnecting of electronic neurons by minute-volume holograms, using the voltage-controlled photorefractive effect in paraelectric crystals. Crystals of potassium lithium tantalate niobate (KLTN) in the paraelectric phase are shown to be suitable for implementing this concept. A small network composed of two KLTN crystals on which holographic connections are recorded is presented to demonstrate the EH approach.
AJ Agranat, M Razvag, and M Balberg. 1996. “Photorefractive hologram fixing by a 4K cooldown to the phase transition in KLTN.” Applied Physics Letters, 68, Pp. 2469-2471.