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Neural basis of numerosity
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- Description:
- This dataset contains the behavioral and neurophysiological data supporting the manuscript “Evidence that interval-counting neurons play a critical role in call recognition by Cope’s gray treefrogs.” Together, these datasets provide a direct link between behavioral selectivity for species-specific advertisement calls and the response properties of specialized temporal processing neurons., Behavioral dataset(20240815_MixedIntervalPhonotaxis_Kamath.xlsx): Binary phonotaxis responses of female Hyla chrysoscelis collected during the 2024 breeding season. Each row represents an individual frog, and columns report responses (1 = positive phonotaxis, 0 = no response) across standard and temporally disrupted advertisement call conditions (1X, MI=2X, MI=3X, AI=2X, AI=3X)., and Neurophysiology dataset (20250815_ExtracellularICN_LIN_Kamath.xlsx): In vivo extracellular single-unit recordings from three classes of auditory midbrain neurons—interval-counting neurons (ICNs), long-interval neurons (LINs), and temporally non-selective neurons—collected between July 2024 and August 2025. Each sheet reports neuron metadata (recording date, ID, frequency sensitivity, pulse rate, pulse number threshold for ICNs) and normalized spike responses to standard and temporally disrupted stimuli (MI and AI paradigms).
- Keyword:
- Neural basis of numerosity, Neural correlates of behavior, Neurophysiology, Temporal processing, Inferior colliculus, and Acoustic communication
- Subject:
- Acoustic communication, Neuroethology, Neurophysiology, and Animal behavior
- Creator:
- Kamath, Vinayak G.
- Contributor:
- Bee, Mark A., Alluri, Rishi K., Rose, Gary J., Acord, A. Sage, and Mukhopadhyay, Anwesha
- Owner:
- Based Near Label Tesim:
- Ramsey, Minnesota, United States, Saint Paul, Minnesota, United States, and Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 08/19/2025
- Date Modified:
- 08/21/2025
- Date Created:
- 2024-05-01 to 2025-08-15
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-7mt5-z18h