Blar i NTNU Open på forfatter "Nichele, Stefano"

Viser treff 41-49 av 49

    • Reservoir computing in-materio: Emergence and control in unstructured and structured materials 

      Jensen, Johannes Høydahl (Doctoral theses at NTNU;2021:373, Doctoral thesis, 2021)
      This thesis is an exploration of novel material substrates for computation. Guided by the principles of material computation, we investigate what computations a material supports naturally. The goal is to perform computation ...

    • Reservoir Computing Using Nonuniform Binary Cellular Automata 

      Nichele, Stefano; Gundersen, Magnus Skogstrøm (Journal article; Peer reviewed, 2017)
      The reservoir computing (RC) paradigm utilizes a dynamical system (a reservoir) and a linear classifier (a readout layer) to process data from sequential classification tasks. In this paper, the usage of cellular automata ...

    • Reservoir Computing Using Quasi-Uniform Cellular Automata 

      Gundersen, Magnus Skogstrøm (Master thesis, 2017)
      Unconventional computing offers many advantages over traditional computing systems; vast parallelism, scalability and robustness among others. A Cellular Automaton (CA) is a biologically inspired computational substrate ...

    • Structural and functional alterations associated with the LRRK2 G2019S mutation revealed in structured human neural networks 

      Valderhaug, Vibeke Devold; Huse Ramstad, Ola; van de Wijdeven, Rosanne Francisca; Heiney, Kristine; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (Journal article, 2020)
      Mutations in the LRRK2 gene have been widely linked to Parkinson’s disease. The G2019S variant has been shown to contribute uniquely to both familial and sporadic forms of the disease. LRRK2-related mutations have been ...

    • Towards a Plant Bio-Machine 

      Nichele, Stefano; Risi, Sebastian; Tufte, Gunnar; Beloff, Laura (Chapter, 2017)
      Plants are very efficient computing machines. They are able to sense diverse environmental conditions and quickly react through chemical and electrical signaling. In this paper, we present an interface between plants and ...

    • Towards Making a Cyborg: A Closed-Loop Reservoir-Neuro System 

      Aaser, Peter; Knudsen, Martinius; Huse Ramstad, Ola; van de Wijdeven, Rosanne; Nichele, Stefano; Sandvig, Ioanna; Tufte, Gunnar; Bauer, Ulrich Stefan; Halaas, Øyvind; Hendseth, Sverre; Sandvig, Axel; Valderhaug, Vibeke Devold (Chapter; Peer reviewed, 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 ...

    • Towards the Neuroevolution of Low-level artificial general intelligence 

      Pontes Filho, Sidney; Olsen, Kristoffer; Yazidi, Anis; Riegler, Michael; Halvorsen, Pål; Nichele, Stefano (Peer reviewed; Journal article, 2022)
      In this work, we argue that the search for Artificial General Intelligence should start from a much lower level than human-level intelligence. The circumstances of intelligent behavior in nature resulted from an organism ...

    • Universality of Evolved Cellular Automata in-Materio 

      Nichele, Stefano; Farstad, Sigve Sebastian; Tufte, Gunnar (Journal article; Peer reviewed, 2017)
      Evolution-in-Materio (EIM) is a method of using artificial evolution to exploit physical properties of materials for computation. It has previously been successfully used to evolve a multitude of different computational ...

    • Using Genomic Parameters to Predict Structural Complexity in Artificial Organisms 

      Anthony, John H. (Master thesis, 2012)
      This thesis investigates the relationship between genomic parameters andproperties of the phenotype. More specifically, we claim that there isa connection between the genomic lambda parameter and the structuralcomplexity ...