3 papers
q-bio.NC2026
Hierarchical temporal receptive windows and zero-shot timescale generalization in biologically constrained scale-invariant deep networks
Aakash Sarkar, Marc W. Howard
Human cognition integrates information across nested timescales. While the cortex exhibits hierarchical Temporal Receptive Windows (TRWs), local circuits often display heterogeneou…
q-bio.NC2025
"What" x "When" working memory representations using Laplace Neural Manifolds
Aakash Sarkar, Chenyu Wang, Shangfu Zuo +1
Working memory - the ability to remember recent events as they recede continuously into the past - requires the ability to represent any stimulus at any time delay. This property r…
q-bio.NC2024
Continuous Attractor Networks for Laplace Neural Manifolds
Bryan C. Daniels, Marc W. Howard
Many cognitive models, including those for predicting the time of future events, can be mapped onto a particular form of neural representation in which activity across a population…