Biological underpinnings for lifelong learning machines
D Kudithipudi, M Aguilar-Simon, J Babb… - Nature Machine …, 2022 - nature.com
Biological organisms learn from interactions with their environment throughout their lifetime.
For artificial systems to successfully act and adapt in the real world, it is desirable to similarly …
For artificial systems to successfully act and adapt in the real world, it is desirable to similarly …
Sleep—A brain-state serving systems memory consolidation
Although long-term memory consolidation is supported by sleep, it is unclear how it differs
from that during wakefulness. Our review, focusing on recent advances in the field, identifies …
from that during wakefulness. Our review, focusing on recent advances in the field, identifies …
The Tolman-Eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation
The hippocampal-entorhinal system is important for spatial and relational memory tasks. We
formally link these domains, provide a mechanistic understanding of the hippocampal role in …
formally link these domains, provide a mechanistic understanding of the hippocampal role in …
Probabilistic neural computing with stochastic devices
S Misra, LC Bland, SG Cardwell… - Advanced …, 2023 - Wiley Online Library
The brain has effectively proven a powerful inspiration for the development of computing
architectures in which processing is tightly integrated with memory, communication is event …
architectures in which processing is tightly integrated with memory, communication is event …
Replay in deep learning: Current approaches and missing biological elements
Replay is the reactivation of one or more neural patterns that are similar to the activation
patterns experienced during past waking experiences. Replay was first observed in …
patterns experienced during past waking experiences. Replay was first observed in …
[HTML][HTML] Replay and compositional computation
Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …
Reactivation predicts the consolidation of unbiased long-term cognitive maps
Spatial memories that can last a lifetime are thought to be encoded during 'online'periods of
exploration and subsequently consolidated into stable cognitive maps through their …
exploration and subsequently consolidated into stable cognitive maps through their …
Spatial goal coding in the hippocampal formation
The mammalian hippocampal formation contains several distinct populations of neurons
involved in representing self-position and orientation. These neurons, which include place …
involved in representing self-position and orientation. These neurons, which include place …
Formalizing planning and information search in naturalistic decision-making
Decisions made by mammals and birds are often temporally extended. They require
planning and sampling of decision-relevant information. Our understanding of such decision …
planning and sampling of decision-relevant information. Our understanding of such decision …
Dynamics of awake hippocampal-prefrontal replay for spatial learning and memory-guided decision making
Spatial learning requires remembering and choosing paths to goals. Hippocampal place
cells replay spatial paths during immobility in reverse and forward order, offering a potential …
cells replay spatial paths during immobility in reverse and forward order, offering a potential …