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Topic: Inter-trial Phase Coherence

ePoster
1 ePoster

In Artificial Intelligence and Computational Neuroscience

ePoster · Neuroscience

Neural Decoding of Temporal Features of Zebra Finch Song

Amirmasoud Ahmadi, Hermina Robotka, Frederic Theunissen, Manfred Gahr · Bernstein Conference 2024

Auditory decoding of temporal features is a complex process in which vocalizations such as birdsongs are segmented into distinct auditory units, a crucial step in transforming sound into meaning. The songbird auditory system offers a valuable model for studying the neural representation of complex sounds. The hierarchical structure of the Zebra Finches' song makes it ideal for in-depth analysis of auditory decoding. We use stacked Bidirectional Long Short-Term Memory (BiLSTM) deep neural networks to decode the amplitude envelope and the time-locked envelope features of zebra finch songs. To a