If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

Artificial (General) Intelligence, Deep Learning, Continual Learning, Meta-Learning, Deep Reinforcement Learning, Computational Neuroscience, Artificial Life.

Education/Academic qualification

Computer science, PhD, University of Sheffield

Computer science, Master’s Degree, University of Edinburgh

Computer science, Honours Degree, Sant'Anna School of Advanced Studies

Computer science, Bachelor’s Degree, University of Pisa

Fingerprint Dive into the research topics where Giacomo Spigler is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

A new sensory feedback system for lower-limb amputees: Assessment of discrete vibrotactile stimuli perception during walking

Filosa, M., Cesini, I., Martini, E., Spigler, G., Vitiello, N., Oddo, C. & Crea, S., 2019, Biosystems and Biorobotics. Springer International Publishing AG, p. 105-109 5 p. (Biosystems and Biorobotics; vol. 22).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  • A wearable haptic feedback system for assisting lower-limb amputees in multiple locomotion tasks

    Cesini, I., Spigler, G., Prasanna, S., Taxis, D., Dell’Agnello, F., Martini, E., Crea, S., Vitiello, N., Mazzoni, A. & Oddo, C. M., 2019, Biosystems and Biorobotics. Springer International Publishing AG, p. 115-119 5 p. (Biosystems and Biorobotics; vol. 22).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    Convergence of regular spiking and intrinsically bursting Izhikevich neuron models as a function of discretization time with Euler method

    Gunasekaran, H., Spigler, G., Mazzoni, A., Cataldo, E. & Oddo, C. M., 20 Jul 2019, In : Neurocomputing. 350, p. 237-247 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  • Denoising Autoencoders for Overgeneralization in Neural Networks

    Spigler, G., 21 May 2019, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-1 1 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
  • The temporal singularity: Time-accelerated simulated civilizations and their implications

    Spigler, G., 2018, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, p. 207-216 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10999 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review