Results 261 to 270 of about 5,838,744 (309)

Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging. [PDF]

Brain Sci
Limongi R, Skelton AB, Tzianas LH, Silva AM.   +3 more
europepmc   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

Advanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun, Sanchali Mitra, Hongxi Su, Jiali Huo, Haofei Zheng, Michel Bosman, Yee Sin Ang, Kah‐Wee Ang   +7 more
wiley   +1 more source

An Active Inference Agent for Modeling Human Translation Processes. [PDF]

Entropy (Basel)
Carl M.
europepmc   +1 more source

Active inference goes to school: the importance of active learning in the age of large language models. [PDF]

Philos Trans R Soc Lond B Biol Sci
Di Paolo LD, White B, Guénin-Carlut A, Constant A, Clark A.   +4 more
europepmc   +1 more source

Learning and embodied decisions in active inference

Priorelli M, Stoianov IP, Pezzulo G.
europepmc   +1 more source

Arousal coherence, uncertainty, and well-being: an active inference account. [PDF]

Neurosci Conscious
Biddell H, Solms M, Slagter H, Laukkonen R.   +3 more
europepmc   +1 more source

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The Empirical Status of Predictive Coding and Active Inference.

Neuroscience and Biobehavioral Reviews, 2023
Research on predictive processing models has focused largely on two specific algorithmic theories: Predictive Coding for perception and Active Inference for decision-making.
Rowan Hodson, M. Mehta, Ryan Smith
semanticscholar   +1 more source

Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Networks: An Active Inference Approach

IEEE Vehicular Technology Conference, 2023
As the research and applications of large language model (LLM) become increasingly sophisticated, it is difficult for resource-limited mobile terminals to run large-model inference tasks efficiently.
Jingcheng Fang, Ying He, F. Yu, Jianqiang Li, Victor C.M. Leung   +4 more
semanticscholar   +1 more source

Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning

IEEE Robotics and Automation Letters, 2023
Task and Motion Planning (TAMP) has made strides in complex manipulation tasks, yet the execution robustness of the planned solutions remains overlooked.
Yuezhe Zhang, Corrado Pezzato, Elia Trevisan, C. Salmi, C. H. Corbato, Javier Alonso-Mora   +5 more
semanticscholar   +1 more source

From active affordance to active inference: vertical integration of cognition in the cerebral cortex through dual subcortical control systems.

Cerebral Cortex, 2023
In previous papers, we proposed that the dorsal attention system's top-down control is regulated by the dorsal division of the limbic system, providing a feedforward or impulsive form of control generating expectancies during active inference.
P. Luu, Don M. Tucker, Karl Friston
semanticscholar   +1 more source