Automatic Design of Boolean Networks for Cell Differentiation. - Michele Braccini; Andrea Roli; Marco Villani 001; Roberto Serra (WIVACE, 2016)

A Comparison Between Threshold Ergodic Sets and Stochastic Simulation of Boolean Networks for Modelling Cell Differentiation. - Michele Braccini; Andrea Roli; Marco Villani 001; Roberto Serra (WIVACE, 2017)

The Impact of Self-loops in Random Boolean Network Dynamics: A Simulation Analysis. - Sara Montagna; Michele Braccini; Andrea Roli (WIVACE, 2017)

Applications of Biological Cell Models in Robotics. - Michele Braccini (CoRR, 2017)

Self-loops Favour Diversification and Asymmetric Transitions Between Attractors in Boolean Network Models. - Michele Braccini; Sara Montagna; Andrea Roli (WIVACE, 2018)

Attractor Landscape: A Bridge between Robotics and Synthetic Biology. - Andrea Roli; Michele Braccini (Complex Syst., 2018)

A simplified model of chromatin dynamics drives differentiation process in Boolean models of GRN. - Michele Braccini; Andrea Roli; Marco Villani 001; Sara Montagna; Roberto Serra (ALIFE, 2019)

The Effects of a Simplified Model of Chromatin Dynamics on Attractors Robustness in Random Boolean Networks with Self-loops: An Experimental Study. - Michele Braccini; Andrea Roli; Marco Villani 001; Sara Montagna; Roberto Serra (WIVACE, 2019)

Online adaptation in robots as biological development provides phenotypic plasticity. - Michele Braccini; Andrea Roli; Stuart A. Kauffman (CoRR, 2020)

A Novel Online Adaptation Mechanism in Artificial Systems Provides Phenotypic Plasticity. - Michele Braccini; Andrea Roli; Stuart A. Kauffman (WIVACE, 2021)

Dynamical properties and path dependence in a gene-network model of cell differentiation. - Michele Braccini; Andrea Roli; Marco Villani 001; Roberto Serra (Soft Comput., 2021)

The Impact of Self-Loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling. - Sara Montagna; Michele Braccini; Andrea Roli (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Online Adaptation of Robots Controlled by Nanowire Networks: A Preliminary Study. - Paolo Baldini; Michele Braccini; Andrea Roli (WIVACE, 2022)

The Role of Dynamical Regimes of Online Adaptive BN-Robots in Noisy Environments. - Michele Braccini; Edoardo Barbieri; Andrea Roli (WIVACE, 2022)

On the Criticality of Adaptive Boolean Network Robots. - Michele Braccini; Andrea Roli; Edoardo Barbieri; Stuart A. Kauffman (Entropy, 2022)

An Investigation of Graceful Degradation in Boolean Network Robots Subject to Online Adaptation. - Michele Braccini; Paolo Baldini; Andrea Roli (WIVACE, 2023)

On the Performance of Online Adaptation of Robots Controlled by Nanowire Networks. - Paolo Baldini; Andrea Roli; Michele Braccini (IEEE Access, 2023)

diffeRenTES: An R package for computing cell differentiation trees from Boolean networks. - Michele Braccini (Softw. Impacts, 2023)

Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation. - Michele Braccini; Allegra De Filippo; Michele Lombardi 001; Michela Milano (CREAI@ECAI, 2024)

Metasensor: a proposal for sensor evolution in robotics. - Michele Braccini (CoRR, 2024)

Emergent Dynamics in Heterogeneous Life-Like Cellular Automata. - Aarati Shrestha; Felix Reimers; Sanyam Jain; Paolo Baldini; Michele Braccini; Andrea Roli; Stefano Nichele (CoRR, 2024)

Sensory-Motor Loop Adaptation in Boolean Network Robots. - Michele Braccini; Yuri Gardinazzi; Andrea Roli; Marco Villani 001 (Sensors, 2024)

On the Positive Role of Noise and Error in Complex Systems. - Andrea Roli; Michele Braccini; Pasquale Stano (Syst., 2024)

Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications. - Michele Braccini; Allegra De Filippo; Michele Lombardi 001; Michela Milano (AIxVR, 2025)

Cell-Cell Interactions: How Coupled Boolean Networks Tend to Criticality. - Michele Braccini; Paolo Baldini; Andrea Roli (Artif. Life, 2025)