An ultra-sparse code underliesthe generation of neural sequences in a songbird

By Richard Hans Robert Hahnloser, A. Kozhevnikov, Michale S. Fee. Nature, 2002

598 citations recorded by the source corpus.

Subfields: Developmental Biology, Ecology, Ecology, Evolution, Behavior and Systematics

View Paper: https://www.semanticscholar.org/paper/dc0c48836dadf8e7585a04da25ceb2d238f6bc90

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Citations in the corpus

Nonlinear multivariate analysis of neurophysiological signals. (2005, methodology): “In particular, a measure similar to the one described above was applied to ultra-sparse neuronal data from different structures in the brain of zebra finches (Hahnloser et al., 2002).”
The neural basis of temporal processing. (2004, background): “Whether or not this is true, it is clear that the song circuity is capable of temporal processing because cross correlations with peaks in the tens-to-hundreds-of-ms range have been reported (Hahnloser et al. 2002, Kimpo et al. 2003).”
Timing in the absence of clocks: encoding time in neural network states. (2007, background): “Recent studies have begun to examine the neural (Kilgard and Merzenich , 2002; Hahnloser et al., 2002; Leon and Shadlen, 2003) and anatomical (Rao et al., 2001; Lewis and Miall, 2003; Coull et al., 2004) correlates of temporal processing.”
Deep neuroethology of a virtual rodent (2019, background): “…to the production of stereotyped motor and task-oriented behavior in rodents (Berke et al., 2009; Rueda-Orozco & Robbe, 2015; Dhawale et al., 2019), including during task delay periods (Akhlaghpour et al., 2016), as well as in singing birds (Albert & Margoliash, 1996; Hahnloser et al., 2002).”
Normalization for Sparse Encoding of Odors by a Wide-Field Interneuron (2011, background): “Sparse coding, the properties and advantages of which have been known for decades (1-3) has recently found experimental support in a number of systems (4-8).”
Bird Song: The Interface of Evolution and Mechanism (2004, unknown): “Nearly three decades of work has shown that the activity of the vocal apparatus is mediated by a series of interconnected brain nuclei that function in a hierarchical manner (Nottebohm et al. 1976, Yu & Margoliash 1996, Hahnloser et al. 2002).”
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires (2020, background): “zebra finches is related to the high temporal precision in the singing-related neural activity of vocal-motor brain regions (Hahnloser et al., 2002; Fee et al., 2004; Chi & Margoliash, 2001).”
Matching Recall and Storage in Sequence Learning with Spiking Neural Networks (2013, background): “For example, in adult songbirds who learned to repeat the same song, HVC neurons, which are targeting the premotor area RA, reproduce precise spiking patterns during the song production (Hahnloser et al., 2002).”