4 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
"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…
A deep convolutional neural network that is invariant to time rescaling
Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar +2
Human learners can readily understand speech, or a melody, when it is presented slower or faster than usual. Although deep convolutional neural networks (CNNs) are extremely powerf…
Scale-dependent Relationships in Natural Language
Aakash Sarkar, Marc Howard
Natural language exhibits statistical dependencies at a wide range of scales. For instance, the mutual information between words in natural language decays like a power law with th…