Now showing items 1-4 of 4
Towards Making a Cyborg: A Closed-Loop Reservoir-Neuro System
(MIT Press, 2017)
The human brain is a remarkable computing machine, i.e. vastly parallel, self-organizing, robust, and energy efficient. To gain a better understanding into how the brain works, a cyborg (cybernetic organism, a combination ...
Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches
(IEEE Xplore, 2020)
In this work, we report the preliminary analysis of the electrophysiological behavior of in vitro neuronal networks to identify when the networks are in a critical state based on the size distribution of network-wide ...
Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks
In the brain, the structure of a network of neurons defines how these neurons implement the computations that underlie the mind and the behavior of animals and humans. Provided that we can describe the network of neurons ...
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...