Self-organized criticality theory proved that information transmission and computational performances of neural networks are optimal in critical state. By using recordings of the spontaneous activity

Zenodo2022-03-16 更新60

Testing Neuronal Accounts of Anisotropic Motion Perception with Computational Modelling

视觉运动感知

神经元计算建模

There is an over-representation of neurons in early visual cortical areas that respond most strongly to cardinal (horizontal and vertical) orientations and directions of visual stimuli, and cardinal-

NIAID Data Ecosystem40

Mean absolute retinal speeds across the visible part of the trajectory for each combination of ball speed and observer motion profile.

视觉运动感知

运动轨迹预测

The script in which we derive these values can be found on GitHub (https://github.com/b-jorges/Predicting-while-Moving/blob/main/Geometry Prediction.R).

NIAID Data Ecosystem70

Neural correlates of innate preference for upward motion

视觉运动感知

动物神经解码

The dataset includes analyses of the neural activity in young domestic chicks responding to the upward and downward moving objects. AllRecordingsSorted - all neural recordings including unit number,

Zenodo2026-05-25 更新40

R_data

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