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20172026
most citedDeep Reservoir Computing Using Cellular Automata

11 citations · 52 across the 22 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

eess.IV2019★ 1 cited

A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents

Sidney Pontes-Filho, Annelene Gulden Dahl, Stefano Nichele +1

Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studie…

q-bio.NC2019

Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches

Kristine Heiney, Ola Huse Ramstad, Ioanna Sandvig +2

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 t…

q-bio.NC2019★ 3 cited

Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity

Kristine Heiney, Vibeke Devold Valderhaug, Ioanna Sandvig +4

Novel computing hardwares are necessary to keep up with today's increasing demand for data storage and processing power. In this research project, we turn to the brain for inspirat…

cs.NE2019★ 1 cited

A general representation of dynamical systems for reservoir computing

Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang +5

Dynamical systems are capable of performing computation in a reservoir computing paradigm. This paper presents a general representation of these systems as an artificial neural net…

cs.CV2019★ 1 cited

DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks

Gustavo Borges Moreno e Mello, Vibeke Devold Valderhaug, Sidney Pontes-Filho +3

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 tha…

cs.AI2019

Ethics of Artificial Intelligence Demarcations

Anders Braarud Hanssen, Stefano Nichele

In this paper we present a set of key demarcations, particularly important when discussing ethical and societal issues of current AI research and applications. Properly distinguish…

cs.NE2019

Evolved Art with Transparent, Overlapping, and Geometric Shapes

Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien +3

In this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e.g., polygons, circles, l…

cs.NE2019★ 3 cited

A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence

Sidney Pontes-Filho, Stefano Nichele

In this work, a conceptual bio-inspired parallel and distributed learning framework for the emergence of general intelligence is proposed, where agents evolve through environmental…