How movements shape the perception of time
In order to keep up with a changing environment, mobile organisms must be capable of
deciding both where and when to move. This precision necessitates a strong sense of time …
deciding both where and when to move. This precision necessitates a strong sense of time …
Time perception: A review on psychological, computational, and robotic models
Animals exploit time to survive in the world. Temporal information is required for higher level
cognitive abilities, such as planning, decision making, communication, and effective …
cognitive abilities, such as planning, decision making, communication, and effective …
The role of consciously timed movements in shaping and improving auditory timing
Our subjective sense of time is intertwined with a plethora of perceptual, cognitive and motor
functions, and likewise, the brain is equipped to expertly filter, weight and combine these …
functions, and likewise, the brain is equipped to expertly filter, weight and combine these …
Temporal encoding in deep reinforcement learning agents
Neuroscientists have observed both cells in the brain that fire at specific points in time,
known as “time cells”, and cells whose activity steadily increases or decreases over time …
known as “time cells”, and cells whose activity steadily increases or decreases over time …
Episodic memory for subjective-timescale models
Planning in complex environments requires reasoning over multi-step timescales. However,
in model-based learning, an agent's model is more commonly defined over transitions …
in model-based learning, an agent's model is more commonly defined over transitions …
Modularity in nervous systems—a key to efficient adaptivity for deep reinforcement learning
Modularity as observed in biological systems has proven valuable for guiding classical
motor theories towards good answers about action selection and execution. New challenges …
motor theories towards good answers about action selection and execution. New challenges …
Circumventing interpretability: How to defeat mind-readers
L Sharkey - arXiv preprint arXiv:2212.11415, 2022 - arxiv.org
The increasing capabilities of artificial intelligence (AI) systems make it ever more important
that we interpret their internals to ensure that their intentions are aligned with human values …
that we interpret their internals to ensure that their intentions are aligned with human values …
Deep reinforcement learning with time-scale invariant memory
The ability to estimate temporal relationships is critical for both animals and artificial agents.
Cognitive science and neuroscience provide remarkable insights into behavioral and neural …
Cognitive science and neuroscience provide remarkable insights into behavioral and neural …
Geometry of abstract learned knowledge in deep RL agents
J Mochizuki-Freeman, MR Kabir… - … 2023 workshop on …, 2023 - openreview.net
Data from neural recordings suggest that mammalian brains represent physical and abstract
task-relevant variables through low-dimensional neural manifolds. In a recent …
task-relevant variables through low-dimensional neural manifolds. In a recent …
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
E Cherepanov, N Kachaev, A Zholus… - arXiv preprint arXiv …, 2024 - arxiv.org
The incorporation of memory into agents is essential for numerous tasks within the domain
of Reinforcement Learning (RL). In particular, memory is paramount for tasks that require the …
of Reinforcement Learning (RL). In particular, memory is paramount for tasks that require the …