
Our Research Publications
Below is a selection of our previous publications and media coverage.
Full list of our publications is available on Google Scholar, ORCID, and ResearchGate.
Previous Work
Postdoctoral
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Kira S., Safaai H., Morcos A.S., Panzeri S., Harvey C.D. (2023)
A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions.
Nature Communications 14, 2121. doi.org/10.1038/s41467-023-37804-2
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Interview:
Making sense of flexible decision-making in navigation (Sainsbury Wellcome Centre)


Abstract
Decision-making requires flexibility to rapidly switch one’s actions in response to sensory stimuli depending on information stored in memory. We identified cortical areas and neural activity patterns underlying this flexibility during virtual navigation, where mice switched navigation toward or away from a visual cue depending on its match to a remembered cue. Optogenetics screening identified V1, posterior parietal cortex (PPC), and retrosplenial cortex (RSC) as necessary for accurate decisions. Calcium imaging revealed neurons that can mediate rapid navigation switches by encoding a mixture of a current and remembered visual cue. These mixed selectivity neurons emerged through task learning and predicted the mouse’s choices by forming efficient population codes before correct, but not incorrect, choices. They were distributed across posterior cortex, even V1, and were densest in RSC and sparsest in PPC. We propose flexibility in navigation decisions arises from neurons that mix visual and memory information within a visual-parietal-retrosplenial network.
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Safaai H., Wang A.Y., Kira S., Malerba S.B., Panzeri S., Harvey, C.D. (2023)
Specialized structure of neural population codes in parietal cortex outputs.
bioRxiv doi.org/10.1101/2023.08.24.554635
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Arlt C., Barroso-Luque R., Kira S., Bruno C.A., Xia N., Chettih N., Soares S., Pettit N.L., Harvey C.D. (2022)
Cognitive experience alters cortical involvement in goal-directed navigation.
eLife 11:e76051. doi.org/10.7554/eLife.76051
Predoctoral
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Kira, S.*, Yang, T.*, Shadlen M.N. (2015)
A Neural Implementation of Wald’s Sequential Probability Ratio Test.
Neuron 85, 861-873. doi.org/10.1016/j.neuron.2015.01.007
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Media coverage:
The Imitation Game: Our decision making skills are related to Alan Turning’s enigma breaking trick (Firstpost)
Brain makes decisions with same method used to break WW2 Enigma code (Medical Xpress)

Abstract
Decision-making requires flexibility to rapidly switch one’s actions in response to sensory stimuli depending on information stored in memory. We identified cortical areas and neural activity patterns underlying this flexibility during virtual navigation, where mice switched navigation toward or away from a visual cue depending on its match to a remembered cue. Optogenetics screening identified V1, posterior parietal cortex (PPC), and retrosplenial cortex (RSC) as necessary for accurate decisions. Calcium imaging revealed neurons that can mediate rapid navigation switches by encoding a mixture of a current and remembered visual cue. These mixed selectivity neurons emerged through task learning and predicted the mouse’s choices by forming efficient population codes before correct, but not incorrect, choices. They were distributed across posterior cortex, even V1, and were densest in RSC and sparsest in PPC. We propose flexibility in navigation decisions arises from neurons that mix visual and memory information within a visual-parietal-retrosplenial network.
Mind Reading from a Single Neuron! (Audio recommended)
Example trial with neural recording from a parietal neuron. After the monkey’s eye position (yellow dot) fixates on the central white dot, two red choice targets appear, with the left target in the neuron’s Response Field. Shapes appear sequentially until the monkey initiates a saccade. Action potentials are indicated by audible clicks and tick marks above the graph, which displays cumulative evidence associated with each new shape (white horizontal line segments).
In the 1st movie, the cumulative evidence initially fluctuates around zero, then shifts toward the left target, reflected by increased neural firing as the monkey selects Tin. In the 2nd movie, the cumulative evidence initially favored the left target but then reversed to favor the right target. Reflecting this pattern, the firing rate increased initially but then diminished until the monkey chose the right target.
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Kira S.*, Zylberberg A.*, Shadlen M.N. (2024)
Incorporation of a cost of deliberation time in perceptual decision making.
bioRxiv doi.org/10.1101/2024.01.31.578067
The Journal of Neuroscience (Accepted)
Dissertation
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Kira S. (2014)
Neural mechanisms for decisions based on sequential samples of evidence.
The University of Washington, http://hdl.handle.net/1773/26074