In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{Virgo:2022:10.1017/S0140525X22000334,
author = {Virgo, N and Rosas, FE and Biehl, M},
doi = {10.1017/S0140525X22000334},
journal = {Behavioral and Brain Sciences},
pages = {e215--e215},
title = {Embracing sensorimotor history: Time-synchronous and time-unrolled Markov blankets in the free-energy principle.},
url = {http://dx.doi.org/10.1017/S0140525X22000334},
volume = {45},
year = {2022}
}
TY - JOUR
AB - The free-energy principle (FEP) builds on an assumption that sensor-motor loops exhibit Markov blankets in stationary state. We argue that there is rarely reason to assume a system's internal and external states are conditionally independent given the sensorimotor states, and often reason to assume otherwise. However, under mild assumptions internal and external states are conditionally independent given the sensorimotor history.
AU - Virgo,N
AU - Rosas,FE
AU - Biehl,M
DO - 10.1017/S0140525X22000334
EP - 215
PY - 2022///
SN - 0140-525X
SP - 215
TI - Embracing sensorimotor history: Time-synchronous and time-unrolled Markov blankets in the free-energy principle.
T2 - Behavioral and Brain Sciences
UR - http://dx.doi.org/10.1017/S0140525X22000334
UR - https://www.ncbi.nlm.nih.gov/pubmed/36172767
UR - https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/embracing-sensorimotor-history-timesynchronous-and-timeunrolled-markov-blankets-in-the-freeenergy-principle/CBAD68BFB6496623DB422FFA5EB54D7F
UR - http://hdl.handle.net/10044/1/103093
VL - 45
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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