Memory and Neural Mechanisms

Últimos artículos

• A neural network that maintains and retrieves memories based on context

  Hayoung Song, JeongJun Park, Qihong Lu, Giacomo Vedovati, Monica D. Rosenberg, Zachariah M. Reagh, ShiNung Ching · 30 de septiembre de 2026

  Every day, people continuously infer situational context and adjust the way they understand and remember the world. Context, signaled by the prefrontal cortex, is known to modulate working memory and episodic memory, but the algorithmic understanding of this modulation remains limited. Here, we trai…

• Planning as Dynamics Relaxation: Hippocampal Recurrent Network Realizes Optimal Goal-Directed Navigation

  Yuhang He, Junfeng Zuo, Tianhao Chu, Si Wu · 15 de septiembre de 2026

  Neural correlates of spatial cognitive map are well documented, yet exactly how neural circuits perform spatial navigation in complex environments - e.g., reaching a goal while avoiding obstacles - remains largely unclear. Here, we show that a hippocampal network with appropriate recurrent connectio…

• Compact Bellman-Grounded Cognitive Maps for Cost-Aware Navigation

  Yuzhe Han, Mingkun Xu, Yujie Wu · 7 de septiembre de 2026

  Biological agents navigate familiar environments not by re-solving routes for each new goal, but by reusing a learned map built once and read off as goals change. Existing artificial cognitive-map models mimic this reuse, yet their guidance is not explicitly grounded in additive heterogeneous route …

• Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers

  Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz · 2 de septiembre de 2026

  Vision Transformers provide strong visual representations but typically rely on slowly updated parameters, limiting their ability to organize newly acquired information across different memory timescales. This work proposes \textit{Hierarchical Hebbian Memory}, a three-level memory architecture comp…

• The Role of Grid Cells in Reducing Spatial Aliasing in Hippocampal Place Representations

  Alexander Johnson, Obadah Ghizawi, Ali A. Minai · 20 de agosto de 2026

  Spatial aliasing occurs when two or more distinct locations produce highly similar place-cell representations, primarily due to environmental symmetry or repetitive structures. This issue is most pronounced when place representations are constructed solely from boundary vector cell (BVC) inputs, bec…

• From Observation to Intervention: Memory in Brains and Large Language Models

  Morteza Salehjahromi, Shayan A. Zadegan, Amgad Muneer, Jia Wu · 28 de julio de 2026

  Brains and large language models (LLMs) are fundamentally different memory systems, but they can be compared through shared functional questions: where memory-related information is represented, how partial cues recover broader associations, how new information is written or updated, and how memory-…

• Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory

  Oliver Zahn, James Evans, David Eagleman · 21 de julio de 2026

  Dreams splice together people, places, and times that never met. Neuroscience suggests this recombination is not noise, but a function driving insight and creative discovery. This reframes memory consolidation: rather than merely defending against forgetting, its measurable value lies in recombining…

• A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets

  Wanyun Cui · 3 de julio de 2026

  Linear-attention and state-space language models compress the prefix into a fixed-size recurrent state, yielding O(1) memory at the cost of a lossy exact memory: when many key--value associations compete, earlier facts are overwritten and needle recall degrades. Inspired by Complementary Learning Sy…

• CANNs: A Toolkit for Research on Continuous Attractor Neural Networks

  Sichao He, Aiersi Tuerhong, Shangjun She, Tianhao Chu, Yuling Wu, Junfeng Zuo, Si Wu · 29 de junio de 2026

  Continuous attractor neural networks (CANNs) are the canonical computational framework for how the brain encodes continuous variables such as spatial position, head direction, and movement direction, and explain the activity of hippocampal place cells, entorhinal grid cells, and head-direction cells…

• Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling

  Zhaoning Shi, Bo Ma, Hao Xu, Zepeng Yang, Bo Liang · 29 de junio de 2026

  This paper addresses the lack of explicit memory mechanisms in current object detection models and proposes Hippocampus-DETR, a novel detection framework based on biological hippocampal memory modeling. This framework integrates a hippocampal memory network module, HipNet, into the DETR architecture…

• Hyperbolic Neural Population Geometry Benefits Computation

  Dennis Wu, Yi-Chun Hung, Braden Yuille, James E. Fitzgerald, Han Liu · 10 de junio de 2026

  Neural population geometry shapes downstream computation. Recent empirical findings in neurobiology suggest that a hyperbolic structure underlies population activity in the hippocampus. Here we provide a theoretical framework for this phenomenon. First, we propose a plausible construction of hippoca…

• Exploratory Experience Shapes the Geometry of Predictive Representations

  Kseniia Shilova, Abdelrahman Sharafeldin, Advay Balakrishnan, Hannah Choi · 28 de mayo de 2026

  Active sensing links behavior and learning through an action-perception loop: actions determine the observations used to update internal predictive models of perception, which subsequently guide the next actions. Predictive-coding frameworks provide a natural way to model this process, since interna…

• CogniFold: Always-On Proactive Memory via Cognitive Folding

  Suli Wang, Yiqun Duan, Yu Deng, Rundong Zhao, Dai Shi, Xinliang Zhou · 26 de mayo de 2026

  Existing agent memory remains predominantly reactive and retrieval-based, lacking the capacity to autonomously organize experience into persistent cognitive structure. Toward genuinely autonomous agents, we introduce CogniFold, a brain-inspired "always-on" agent memory designed for the next generati…

• Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model

  Tianqiu Zhang, Muyang Lyu, Xiao Liu, Si Wu · 18 de mayo de 2026

  Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (HPC-MEC) circuit is known to represent both spatial and conceptual spaces, the mechanisms for concurrently extracting abstract structures from continu…

• PALMS: A Computational Implementation for Pavlovian Associative Learning Models' Simulation

  Martin Fixman, Alessandro Abati, Juli\'an Jim\'enez Nimmo, Sean Lim, Esther Mondrag\'on · 15 de mayo de 2026

  In contrast to static formalisms, computational definitions describe the operational mechanisms of a model. Simulations are an essential part of the cycle of theory development and refinement, assisting researchers in formulating the precise definitions that models require, and making accurate predi…

• Cognifold: Always-On Proactive Memory via Cognitive Folding

  Suli Wang, Yiqun Duan, Yu Deng, Rundong Zhao, Dai Shi, Xinliang Zhou · 14 de mayo de 2026

  Existing agent memory remains predominantly reactive and retrieval-based, lacking the capacity to autonomously organize experience into persistent cognitive structure. Toward genuinely autonomous agents, we introduce Cognifold, a brain-inspired "always-on" agent memory designed for the next generati…

• Contextual Agentic Memory is a Memo, Not True Memory

  Binyan Xu, Xilin Dai, Kehuan Zhang · 1 de mayo de 2026

  Current agentic memory systems (vector stores, retrieval-augmented generation, scratchpads, and context-window management) do not implement memory: they implement lookup. We argue that treating lookup as memory is a category error with provable consequences for agent capability, long-term learning, …

• NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning

  Hibatallah Meliani, Khadija Slimani, Samira Khoulji · 17 de abril de 2026

  To navigate a space, the brain makes an internal representation of the environment using different cells such as place cells, grid cells, head direction cells, border cells, and speed cells. All these cells, along with sensory inputs, enable an organism to explore the space around it. Inspired by th…

• When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells

  Qiaorong S. Yu, Zhaoze Wang, Vijay Balasubramanian · 2 de abril de 2026

  Hippocampal place and time cells encode spatial and temporal aspects of experience. Both have the same neural substrate, but have been modeled as having different functions and mechanistic origins, place cells as continuous attractors, and time cells as leaky integrators. Here, we show that both typ…

• REMI: Reconstructing Episodic Memory During Internally Driven Path Planning

  Zhaoze Wang, Genela Morris, Dori Derdikman, Pratik Chaudhari, Vijay Balasubramanian · 24 de marzo de 2026

  Grid cells in the medial entorhinal cortex (MEC) and place cells in the hippocampus (HC) both form spatial representations. Grid cells fire in triangular grid patterns, while place cells fire at specific locations and respond to contextual cues. How do these interacting systems support not only spat…

• Reasoning Models Struggle to Control their Chains of Thought

  Chen Yueh-Han, Robert McCarthy, Bruce W. Lee, He He, Ian Kivlichan, Bowen Baker, Micah Carroll, Tomek Korbak · 9 de marzo de 2026

  Chain-of-thought (CoT) monitoring is a promising tool for detecting misbehaviors and understanding the motivations of modern reasoning models. However, if models can control what they verbalize in their CoT, it could undermine CoT monitorability. To measure this undesirable capability -- CoT control…

• Emergence of Spatial Representation in an Actor-Critic Agent with Hippocampus-Inspired Sequence Generator

  Xiao-Xiong Lin, Yuk-Hoi Yiu, Christian Leibold · 3 de marzo de 2026

  Sequential firing of hippocampal place cells is often attributed to sequential sensory drive along a trajectory, and has also been attributed to planning and other cognitive functions. Here, we propose a mechanistic and parsimonious interpretation to complement these ideas: hippocampal sequences ari…

• Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay

  Josue Casco-Rodriguez, Nanda H. Krishna, Richard G. Baraniuk · 23 de febrero de 2026

  Biological neural networks (like the hippocampus) can internally generate "replay" resembling stimulus-driven activity. Recent computational models of replay use noisy recurrent neural networks (RNNs) trained to path-integrate. Replay in these networks has been described as Langevin sampling, but ne…

• GENESIS: A Generative Model of Episodic-Semantic Interaction

  Marco D'Alessandro, Leo D'Amato, Mikel Elkano, Mikel Uriz, Giovanni Pezzulo · 19 de febrero de 2026

  A central challenge in cognitive neuroscience is to explain how semantic and episodic memory, two major forms of declarative memory, typically associated with cortical and hippocampal processing, interact to support learning, recall, and imagination. Despite significant advances, we still lack a uni…

• When Remembering and Planning are Worth it: Navigating under Change

  Omid Madani, J. Brian Burns, Reza Eghbali, Thomas L. Dean · 18 de febrero de 2026

  We explore how different types and uses of memory can aid spatial navigation in changing uncertain environments. In the simple foraging task we study, every day, our agent has to find its way from its home, through barriers, to food. Moreover, the world is non-stationary: from day to day, the locati…