Decoding Temporal Features of Birdsong Through Neural Activity Analysis
Amirmasoud Ahmadi, Hermina Robotka, Frederic Theunissen, Manfred Gahr · COSYNE 2025
Segmenting vocalizations into distinct units is essential for interpreting sounds. Songbirds, especially the zebra finch with its hierarchical song structure, provide valuable models for studying neural representations of complex sounds. In this study, we recorded zebra finches' neural activity from the auditory pallium during song processing using a movable electrode array, collecting data from 51 recording sites. We employed stacked bidirectional long short-term memory (BiLSTM) deep neural networks to decode the amplitude envelope and time-locked envelope features of the songs. To evaluate h
ePoster · Neuroscience