Gaby Maimon
Howard Hughes Medical Institute
25 Papers
5 Citations
Gaby Maimon is an academic researcher from Howard Hughes Medical Institute. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 13, co-authored 19 publications. Previous affiliations of Gaby Maimon include California Institute of Technology & Harvard University.
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Papers
A neural circuit architecture for angular integration in Drosophila
TL;DR: A set of clockwise- and anticlockwise-shifting neurons in the Drosophila central complex whose wiring and physiology provide a means to rotate an angular heading estimate based on the fly’s angular velocity.
363
Beyond Poisson: Increased Spike-Time Regularity across Primate Parietal Cortex
TL;DR: It is found that, whereas neurons in visual areas fire irregularly, many cells in association and motor-like parietal regions show increasingly regular spike trains by comparison, suggesting that spiking dynamics may play different roles in different cortical areas and should not be assumed to arise from fundamentally irreducible noise sources.
268
Cellular evidence for efference copy in Drosophila visuomotor processing
TL;DR: It is found that visual neurons in Drosophila receive motor-related inputs during rapid flight turns, which echo the suppression of visual perception during rapid eye movements in primates, demonstrating common functional principles of sensorimotor processing across phyla.
204
A cognitive signal for the proactive timing of action in macaque LIP
Gaby Maimon,John A. Assad +1 more
TL;DR: It is found that single neurons in the macaque's lateral intraparietal area (LIP) exhibit gradual firing rate elevations that reach a consistent value—which may correspond to a threshold—at the time of proactive, but not reactive, arm movements.
197
Quantitative Predictions Orchestrate Visual Signaling in Drosophila.
TL;DR: It is argued that a set of motion-sensitive visual neurons regulate gaze-stabilizing head movements in Drosophila, and pervasive motor-related inputs to the visual neurons are found, which quantitatively silence their predicted visual responses to rotations around the relevant axis while preserving sensitivity around other axes.
135