Models for simulation of real neural networks

Models of real neural networks have served as useful tools for neurophysiologists interested in integrative mechanisms and information processing in the nervous system. 'Neuroidal networks' of simple elements having neuron-like properties such as synaptic summation, threshold, and impulse generation can produce properties with some similarities to those observed in real neural networks. The SYNETSIM series of digital computer models has been developed for the realistic simulation of restricted neural nets. A modular design provides flexibility in the type of physiological features that can be represented and facilitates incorporating new phenomena or new mathematical representations for phenomena. SYNETSIM 3.1 is programmed in Microsoft BASIC (GWBASIC, BASICA, QuickBASIC) running under MS-DOS on IBM PC/XT/AT compatibles and is available on 5.25″ diskettes along with documentation and examples.