Kohonen self-organizing feature maps are unsupervised learning neural networks that categorize or classify data. Efficient hardware implementation of such neural networks requires the definition of a certain number of simplifications to the original algorithm. In particular, multiplications should be avoided by means of simplifications in the distance metric, the neighborhood function and the l...

We describe a biological inspired model of binaural sound localization using interaural time di erences (ITDs). To handle the problem of temporal coding and to facilitate a hardware implementation in analog VLSI, the simulation of the system is based on a spike response model. This neuron model takes up physiological properties like postsynaptic potentials (PSPs) and a refractory period. A winn...

We have determined the capacity and information efficiency of an associative net configured in a brain-like way with partial connectivity and noisy input cues. Recall theory was used to calculate the capacity when pattern recall is achieved using a winners-takeall strategy. Transforming the dendritic sum according to input activity and unit usage can greatly increase the capacity of the associa...

Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a ready-to-use, general-purpose neural network system for supervised learning and recognition. Winner-take-all ARTMAP learning is designed so that each input would make a correct prediction if re-presented immediately after it...

COVID-19 caused by the novel SARS-COV2 has been causing worldwide panic in recent times. Globalepidemiological findings have shown numerous new cases being reported daily as well drastic mortalityrates. It is need of hour to plan out strategies cope with this ongoing pandemic. Herd immunityhas used an effective approach for years during epidemics and can prove be a major advantage incontrolling...

Abstract Although recent neurophysiological experiments suggest that synchronous neural activity is involved in some perceptual and cognitive processes, the functional role of such coherent neuronal behavior is not well understood. As a first step in clarifying this role, we investigate how the temporal coherence of certain neuronal activity affects the activity pattern in a neural network. Usi...