Brain Connectivity & Machine Learning

Information processing with unstable memories

J.J. Torres, J. M. Cortes and J. Marro. Information processing with unstable memories. AIP Conference Proceedings 887: 115-128, 2007 [pdf]
We present a theoretical framework which allows one to study both theoretically and numerically the effect of including activity dependent mechanisms in the dynamics of synapses in simple neural networks. In particular, we study synaptic changes at different time scales from less than the millisecond (fast synaptic noise) to the scale of learning (say years). For some limits of interest, as a consequence of such dynamics, the fixed-point solutions or attractors loose stability and the system shows enhancement of his response to changing external stimuli. In some conditions, this results in a novel phase in which the neural activity continously jumps among different activity patterns.

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