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6 papers · 1 filter
Summary statistics of learning link changing neural representations to behavior
Jacob A. Zavatone-Veth, Blake Bordelon, Cengiz Pehlevan
How can we make sense of large-scale recordings of neural activity across learning? Theories of neural network learning with their origins in statistical physics offer a potential…
Structural constraints to compare phenomenal experience
J. Díaz-Boils, N. Tsuchiya, CM. Signorelli
This article defines a partial order structure to study the relationship between levels and contents of conscious subjective experience in a single mathematical set-up. We understa…
One nose but two nostrils: Learn to align with sparse connections between two olfactory cortices
Bo Liu, Shanshan Qin, Venkatesh Murthy +1
The integration of neural representations in the two hemispheres is an important problem in neuroscience. Recent experiments revealed that odor responses in cortical neurons driven…
Unveiling interpretable development-specific gene signatures in the developing human prefrontal cortex with ICGS
Meng Huang, Xiucai Ye, Tetsuya Sakurai
In this paper, to unveil interpretable development-specific gene signatures in human PFC, we propose a novel gene selection method, named Interpretable Causality Gene Selection (IC…
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
Lili Su, Chia-Jung Chang, Nancy Lynch
Winner-Take-All (WTA) refers to the neural operation that selects a (typically small) group of neurons from a large neuron pool. It is conjectured to underlie many of the brain's f…
Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
E. Kelly Buchanan, Ian Kinsella, Ding Zhou +17
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large…