Male zebra finches, small songbirds native to central
Australia, learn their songs by copying what they hear from their
fathers. These songs, often used as mating calls, develop early in life
as juvenile birds experiment with mimicking the sounds they hear.
MIT neuroscientists have now uncovered the brain activity that supports this learning process. Sequences of neural activity that encode the birds’ first song syllable are duplicated and altered slightly, allowing the birds to produce several variations on the original syllable.
Eventually these syllables are strung together into the bird’s signature song, which remains constant for life.
“The advantage here is that in order to learn new syllables, you don’t have to learn them from scratch. You can reuse what you’ve learned and modify it slightly. We think it’s an efficient way to learn various types of syllables,” says Tatsuo Okubo, a former MIT graduate student and lead author of the study, which appears in the Nov. 30 online edition of Nature.
Okubo and his colleagues believe that this type of neural sequence duplication may also underlie other types of motor learning. For example, the sequence used to swing a tennis racket might be repurposed for a similar motion such as playing Ping-Pong. “This seems like a way that sequences might be learned and reused for anything that involves timing,” says Emily Mackevicius, an MIT graduate student who is also an author of the paper.
The paper’s senior author is Michale Fee, a professor of brain and cognitive sciences at MIT and a member of the McGovern Institute for Brain Research.
Bursting into song
Previous studies from Fee’s lab have found that a part of the brain’s cortex known as the HVC is critical for song production.
Typically, each song lasts for about one second and consists of multiple syllables. Fee’s lab has found that in adult birds, individual HVC neurons show a very brief burst of activity — about 10 milliseconds or less — at one moment during the song. Different sets of neurons are active at different times, and collectively the song is represented by this sequence of bursts.
In the new Nature study, the researchers wanted to figure out how those neural patterns develop in newly hatched zebra finches. To do that, they recorded electrical activity in HVC neurons for up to three months after the birds hatched.
When zebra finches begin to sing, about 30 days after hatching, they produce only nonsense syllables known as subsong, similar to the babble of human babies. At first, the duration of these syllables is highly variable, but after a week or so they turn into more consistent sounds called protosyllables, which last about 100 milliseconds. Each bird learns one protosyllable that forms a scaffold for subsequent syllables.
The researchers found that within the HVC, neurons fire in a sequence of short bursts corresponding to the first protosyllable that each bird learns. Most of the neurons in the HVC participate in this original sequence, but as time goes by, some of these neurons are extracted from the original sequence and produce a new, very similar sequence. This chain of neural sequences can be repurposed to produce different syllables.
“From that short sequence it splits into new sequences for the next new syllables,” Mackevicius says. “It starts with that short chain that has a lot of redundancy in it, and splits off some neurons for syllable A and some neurons for syllable B.”
This splitting of neural sequences happens repeatedly until the birds
can produce between three and seven different syllables, the
researchers found. This entire process takes about two months, at which
point each bird has settled on its final song.
“This is a very natural way for motor patterns to evolve, by repeating something and then molding it, but until now nobody had any good data to understand how the brain actually does that,” says Ofer Tchernichovski, a professor of psychology at Hunter College who was not involved in the research. “What’s cool about this paper is they managed to follow how brain centers govern these transitions from simple repetitive patterns to more complex patterns.”
Evolution by duplication
The researchers note that this process is similar to what is believed to drive the production of new genes and traits during evolution.
“If you duplicate a gene, then you could have separate mutations in both copies of the gene and they could eventually do different functions,” Okubo says. “It’s similar with motor programs. You can duplicate the sequence and then independently modify the two daughter motor programs so that they can now each do slightly different things.”
Mackevicius is now studying how input from sound-processing parts of the brain to the HVC contributes to the formation of these neural sequences.
Image Source: The image is credited to MIT News
Original Research: Abstract for “Growth and splitting of neural sequences in songbird vocal development” by Tatsuo S. Okubo, Emily L. Mackevicius, Hannah L. Payne, Galen F. Lynch and Michale S. Fee in Nature. Published online November 30 2015 doi:10.1038/nature15741
Abstract
Growth and splitting of neural sequences in songbird vocal development
Neural sequences are a fundamental feature of brain dynamics underlying diverse behaviours, but the mechanisms by which they develop during learning remain unknown. Songbirds learn vocalizations composed of syllables; in adult birds, each syllable is produced by a different sequence of action potential bursts in the premotor cortical area HVC. Here we carried out recordings of large populations of HVC neurons in singing juvenile birds throughout learning to examine the emergence of neural sequences. Early in vocal development, HVC neurons begin producing rhythmic bursts, temporally locked to a ‘prototype’ syllable. Different neurons are active at different latencies relative to syllable onset to form a continuous sequence. Through development, as new syllables emerge from the prototype syllable, initially highly overlapping burst sequences become increasingly distinct. We propose a mechanistic model in which multiple neural sequences can emerge from the growth and splitting of a common precursor sequence.
“Growth and splitting of neural sequences in songbird vocal development” by Tatsuo S. Okubo, Emily L. Mackevicius, Hannah L. Payne, Galen F. Lynch and Michale S. Fee in Nature. Published online November 30 2015 doi:10.1038/nature15741
Link: http://neurosciencenews.com/nvc-neurons-learning-song-birds-3183/
MIT neuroscientists have now uncovered the brain activity that supports this learning process. Sequences of neural activity that encode the birds’ first song syllable are duplicated and altered slightly, allowing the birds to produce several variations on the original syllable.
Eventually these syllables are strung together into the bird’s signature song, which remains constant for life.
“The advantage here is that in order to learn new syllables, you don’t have to learn them from scratch. You can reuse what you’ve learned and modify it slightly. We think it’s an efficient way to learn various types of syllables,” says Tatsuo Okubo, a former MIT graduate student and lead author of the study, which appears in the Nov. 30 online edition of Nature.
Okubo and his colleagues believe that this type of neural sequence duplication may also underlie other types of motor learning. For example, the sequence used to swing a tennis racket might be repurposed for a similar motion such as playing Ping-Pong. “This seems like a way that sequences might be learned and reused for anything that involves timing,” says Emily Mackevicius, an MIT graduate student who is also an author of the paper.
The paper’s senior author is Michale Fee, a professor of brain and cognitive sciences at MIT and a member of the McGovern Institute for Brain Research.
Bursting into song
Previous studies from Fee’s lab have found that a part of the brain’s cortex known as the HVC is critical for song production.
Typically, each song lasts for about one second and consists of multiple syllables. Fee’s lab has found that in adult birds, individual HVC neurons show a very brief burst of activity — about 10 milliseconds or less — at one moment during the song. Different sets of neurons are active at different times, and collectively the song is represented by this sequence of bursts.
In the new Nature study, the researchers wanted to figure out how those neural patterns develop in newly hatched zebra finches. To do that, they recorded electrical activity in HVC neurons for up to three months after the birds hatched.
When zebra finches begin to sing, about 30 days after hatching, they produce only nonsense syllables known as subsong, similar to the babble of human babies. At first, the duration of these syllables is highly variable, but after a week or so they turn into more consistent sounds called protosyllables, which last about 100 milliseconds. Each bird learns one protosyllable that forms a scaffold for subsequent syllables.
The researchers found that within the HVC, neurons fire in a sequence of short bursts corresponding to the first protosyllable that each bird learns. Most of the neurons in the HVC participate in this original sequence, but as time goes by, some of these neurons are extracted from the original sequence and produce a new, very similar sequence. This chain of neural sequences can be repurposed to produce different syllables.
“From that short sequence it splits into new sequences for the next new syllables,” Mackevicius says. “It starts with that short chain that has a lot of redundancy in it, and splits off some neurons for syllable A and some neurons for syllable B.”
When
zebra finches first begin to sing, they produce only nonsense syllables
similar to the babble of human babies. Now researchers at MIT have
uncovered the brain activity that supports the birds’ song-learning
process. Credit: MIT News.
“This is a very natural way for motor patterns to evolve, by repeating something and then molding it, but until now nobody had any good data to understand how the brain actually does that,” says Ofer Tchernichovski, a professor of psychology at Hunter College who was not involved in the research. “What’s cool about this paper is they managed to follow how brain centers govern these transitions from simple repetitive patterns to more complex patterns.”
Evolution by duplication
The researchers note that this process is similar to what is believed to drive the production of new genes and traits during evolution.
“If you duplicate a gene, then you could have separate mutations in both copies of the gene and they could eventually do different functions,” Okubo says. “It’s similar with motor programs. You can duplicate the sequence and then independently modify the two daughter motor programs so that they can now each do slightly different things.”
Mackevicius is now studying how input from sound-processing parts of the brain to the HVC contributes to the formation of these neural sequences.
About this neuroscience research
Source: Anne Trafton – MITImage Source: The image is credited to MIT News
Original Research: Abstract for “Growth and splitting of neural sequences in songbird vocal development” by Tatsuo S. Okubo, Emily L. Mackevicius, Hannah L. Payne, Galen F. Lynch and Michale S. Fee in Nature. Published online November 30 2015 doi:10.1038/nature15741
Abstract
Growth and splitting of neural sequences in songbird vocal development
Neural sequences are a fundamental feature of brain dynamics underlying diverse behaviours, but the mechanisms by which they develop during learning remain unknown. Songbirds learn vocalizations composed of syllables; in adult birds, each syllable is produced by a different sequence of action potential bursts in the premotor cortical area HVC. Here we carried out recordings of large populations of HVC neurons in singing juvenile birds throughout learning to examine the emergence of neural sequences. Early in vocal development, HVC neurons begin producing rhythmic bursts, temporally locked to a ‘prototype’ syllable. Different neurons are active at different latencies relative to syllable onset to form a continuous sequence. Through development, as new syllables emerge from the prototype syllable, initially highly overlapping burst sequences become increasingly distinct. We propose a mechanistic model in which multiple neural sequences can emerge from the growth and splitting of a common precursor sequence.
“Growth and splitting of neural sequences in songbird vocal development” by Tatsuo S. Okubo, Emily L. Mackevicius, Hannah L. Payne, Galen F. Lynch and Michale S. Fee in Nature. Published online November 30 2015 doi:10.1038/nature15741
Link: http://neurosciencenews.com/nvc-neurons-learning-song-birds-3183/
