Zobrazeno 1 - 10
of 1 906
pro vyhledávání: '"Dani, S."'
Autor:
Kulkarni, Suman, Bassett, Dani S.
The brain is immensely complex, with diverse components and dynamic interactions building upon one another to orchestrate a wide range of functions and behaviors. Understanding patterns of these complex interactions and how they are coordinated to su
Externí odkaz:
http://arxiv.org/abs/2408.02640
Disentanglement is the endeavour to use machine learning to divide information about a dataset into meaningful fragments. In practice these fragments are representation (sub)spaces, often the set of channels in the latent space of a variational autoe
Externí odkaz:
http://arxiv.org/abs/2405.21042
Autor:
Ouellet, Mathieu, Bassett, Dani S., Bassett, Lee C., Murphy, Kieran A., Patankar, Shubhankar P.
Prions are misfolded proteins that transmit their structural arrangement to neighboring proteins. In biological systems, prion dynamics can produce a variety of complex functional outcomes. Yet, an understanding of prionic causes has been hampered by
Externí odkaz:
http://arxiv.org/abs/2402.10939
Autor:
Murphy, Kieran A., Bassett, Dani S.
Deterministic chaos permits a precise notion of a "perfect measurement" as one that, when obtained repeatedly, captures all of the information created by the system's evolution with minimal redundancy. Finding an optimal measurement is challenging, a
Externí odkaz:
http://arxiv.org/abs/2311.04896
Autor:
Xia, Xiaohuan, Klishin, Andrei A., Stiso, Jennifer, Lynn, Christopher W., Kahn, Ari E., Caciagli, Lorenzo, Bassett, Dani S.
Humans are constantly exposed to sequences of events in the environment. Those sequences frequently evince statistical regularities, such as the probabilities with which one event transitions to another. Collectively, inter-event transition probabili
Externí odkaz:
http://arxiv.org/abs/2309.02665
Autor:
Patankar, Shubhankar P., Ouellet, Mathieu, Cervino, Juan, Ribeiro, Alejandro, Murphy, Kieran A., Bassett, Dani S.
Intrinsically motivated exploration has proven useful for reinforcement learning, even without additional extrinsic rewards. When the environment is naturally represented as a graph, how to guide exploration best remains an open question. In this wor
Externí odkaz:
http://arxiv.org/abs/2307.04962
Autor:
Murphy, Kieran A., Bassett, Dani S.
Publikováno v:
PNAS 121 (2024) e2312988121
One of the fundamental steps toward understanding a complex system is identifying variation at the scale of the system's components that is most relevant to behavior on a macroscopic scale. Mutual information provides a natural means of linking varia
Externí odkaz:
http://arxiv.org/abs/2307.04755