Title : 
Neurotransistor:≫MINUSa neuron-like high-functionality transistor implementing intelligence on silicon
         
        
            Author : 
Shibata, Tadashi ; Ohmi, Tadahiro
         
        
            Author_Institution : 
Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
         
        
        
        
        
        
            Abstract : 
The main theme of this paper is not a so-called neural network but a new-architecture intelligent electronic circuit implemented using the neuron-like high-functionality transistor as a basic circuit element. The transistor is a multiple-input-gate thresholding device and is called neuron MOSFET (neuMOS or v MOS for short) due to its functional similarity to a brain cell neuron. The vMOS circuits are characterized by a high degree of parallelism in hardware computation, a large flexibility in hardware configuration and a dramatic reduction in the circuit complexity as compared to conventional integrated circuits. As a result, a number of new concept circuits have been developed. As examples, a real-time reconfigurable logic circuit called flexware and an associative memory conducting fully-parallel search for the most similar are presented. The enhancement in the functionality at a very elemental transistor level is critically important in building human-like intelligent systems on silicon
         
        
            Keywords : 
MOSFET; neural chips; Si; associative memory; flexware; fully-parallel search; integrated circuit; intelligent electronic circuit; most similar; multiple-input-gate thresholding device; neuron MOSFET; neurotransistor; real-time reconfigurable logic circuit; silicon; Biological neural networks; Brain cells; Concurrent computing; Electronic circuits; Flexible printed circuits; Hardware; Intelligent networks; MOSFET circuits; Neurons; Parallel processing;
         
        
        
        
            Conference_Titel : 
VLSI Signal Processing, VIII, 1995. IEEE Signal Processing Society [Workshop on]
         
        
            Conference_Location : 
Sakai
         
        
            Print_ISBN : 
0-7803-2612-1
         
        
        
            DOI : 
10.1109/VLSISP.1995.527474