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I. Samengo

Publications and source records attributed to I. Samengo.

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A subjective distance between stimuli: quantifying the metric structure of representations

As subjects perceive the sensory world, different stimuli elicit a number of neural representations. Here, a subjective distance between stimuli is defined, measuring the degree of similarity between the underlying representations. As an example, the subjective distance between different locations in space is calculated from the activity of rodent hippocampal place cells, and lateral septal cells. Such a distance is compared to the real distance, between locations. As the number of sampled neurons increases, the subjective distance shows a tendency to resemble the metrics of real space.

q-bio.NC

Competing neural networks: Finding a strategy for the game of matching pennies

The ability of a deterministic, plastic system to learn to imitate stochastic behavior is analyzed. Two neural networks -actually, two perceptrons- are put to play a zero-sum game one against the other. The competition, by acting as a kind of mutually supervised learning, drives the networks to produce an approximation to the optimal strategy, that is to say, a random signal.

cond-mat.dis-nn