Neural Codes for the Sense of Taste - Homepage | NICHD · Follower neurons fire patterns of spikes,...
Transcript of Neural Codes for the Sense of Taste - Homepage | NICHD · Follower neurons fire patterns of spikes,...
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Neural codes forthe sense of taste
Mark StopferNIH / NICHD
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Section on sensory coding and neural ensembles
Nitin Gupta, Mark Stopfer
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Section on sensory coding and neural ensembles
Basic rules populations of neurons use to process information
Nitin Gupta, Mark Stopfer
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Section on sensory coding and neural ensembles
Nitin Gupta, Mark Stopfer
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The sense of taste is important!
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4 basic tastes
SweetSourSaltyBitter
What we learned in school
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4 basic tastes Labeled line coding
SweetSourSaltyBitter
What we learned in school
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What we learned in school
4 basic tastes
SweetSourSaltyBitter
Labeled line coding
Must be quick
Must be accurate
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Ideas about taste are not new...
… but they’re very hard to test
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Vertebrates are complicated!
Yarmolinsky et al 2009
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Chaudri and Roper 2010
Vertebrates are complicated!
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A simple systems approach
• Fewer neurons than vertebrates
• Work with intact, awake animals
• Point – by – point analysis of function
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Graeme Lowe
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Questions:
• Are there only a few basic tastes, or are taste chemicals each encoded uniquely?
• What is the nature of the neural code for taste? Is it quick and accurate?
• Is taste processed by labeled lines?
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SEZ
Maxillarynerve
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“tetrode” extracellular recordingsGRNsGustatoryReceptor Neurons
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Encoding Tastant Identity
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Encoding Tastant Identity
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Encoding Tastant Identity
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Encoding Tastant Identity
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Encoding Tastant Identity
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Encoding Tastant Identity
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Information contentof GRNs
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Classification algorithm
Information contentof GRNs
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Information contentof GRNs
Classification algorithm Clustering algorithm
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Information contentof GRNs
Classification algorithm Clustering algorithm
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-GRNs respond to different numbers of tastants
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-GRNs respond to different numbers of tastants
-GRNs can respond to some tastants in a basic taste category but not others
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-GRNs respond to different numbers of tastants
-GRNs can respond to some tastants in a basic taste category but not others
-GRNs can respond to tastants from more than one basic taste category
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-GRNs respond to different numbers of tastants
-GRNs can respond to some tastants in a basic taste category but not others
-GRNs can respond to tastants from more than one basic taste category
-GRNs show a diversity of temporal responses
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-GRNs respond to different numbers of tastants
-GRNs can respond to some tastants in a basic taste category but not others
-GRNs can respond to tastants from more than one basic taste category
-GRNs show a diversity of temporal responses
Where does information from GRNs go next?
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GRNs project to the SEG
Maxillarynerve
SEG
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Sharp-electrode intracellular: second order neurons
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Classification accuracy and speed
Classification algorithm
Information contentof SONs
Sharp-electrode intracellular: second order neurons
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Sharp-electrode intracellular: second order neurons
Information contentof SONs
Classification accuracy and speed
Classification algorithm
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How are these cells wired?As labeled lines?
Maxillarynerve
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Finding direct, monosynaptic connections Finding direct, monosynaptic connections
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Delay: 1.96 msGRN→followerconnectivity
and integration
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Delay: 1.96 msGRN→followerconnectivity
and integration
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Delay: 1.96 msGRN→followerconnectivity
and integration
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Delay: 1.96 msGRN→followerconnectivity
and integration
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• Follower neurons fire patterns of spikes, including inhibition, that vary with the odorant
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• Follower neurons fire patterns of spikes, including inhibition, that vary with the odorant
• Follower neurons are more broadly tuned than receptor neurons
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• Follower neurons fire patterns of spikes, including inhibition, that vary with the odorant
• Follower neurons are more broadly tuned than receptor neurons
• Multiple types of GRNs converge upon follower neurons
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• Follower neurons fire patterns of spikes, including inhibition, that vary with the odorant
• Follower neurons are more broadly tuned than receptor neurons
• Multiple types of GRNs converge upon follower neurons
Where does that leave us?
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Questions:• Are there only a few basic tastes, or are taste chemicals each encoded
uniquely?
• What is the nature of the neural code for taste? Is it quick and accurate?
• Is taste processed by labeled lines?
4 basic tastes? Labeled line coding?
SweetSourSaltyBitter
Quick Accurate
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Questions:• Are there only a few basic tastes, or are taste chemicals each encoded
uniquely?
• What is the nature of the neural code for taste? Is it quick andaccurate?
• Is taste processed by labeled lines?
4 basic tastes? Labeled line coding?
SweetSourSaltyBitter
Quick Accurate
Each tastant is encoded uniquely
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Questions:• Are there only a few basic tastes, or are taste chemicals each encoded
uniquely?
• What is the nature of the neural code for taste? Is it quick andaccurate?
• Is taste processed by labeled lines?
4 basic tastes? Labeled line coding?
SweetSourSaltyBitter
Quick Accurate
Each tastant is encoded uniquely
Spatio-temporal, combinatorial code
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Questions:• Are there only a few basic tastes, or are taste chemicals each encoded
uniquely? Each tastant is encoded uniquely
• What is the nature of the neural code for taste? Is it quick andaccurate? Spatio-temporal, combinatorial code
• Is taste processed by labeled lines? No
4 basic tastes? Labeled line coding?
SweetSourSaltyBitter
Quick Accurate
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Is this just a moth thing?
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Is this just a moth thing?Broad GRN tuning in Drosophila and vertebrates…
• GRNs have been shown to respond to only some, but not all, tastants from a basic taste category (Dahanukar et al., 2007; Weiss et al., 2011; Miyamoto et al., 2012; Caicedo and Roper, 2001; Caicedo et al., 2002).
• GRNs have been shown to respond to some, but not all, tastants from multiple categories (Wisotsky et al., 2011; Charlu et al., 2013; Jeong et al., 2013; Masek and Keene, 2013, Caicedo et al., 2002; Nelson et al., 2002; Oka et al., 2013).
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Is this just a moth thing?Broad GRN tuning in Drosophila and vertebrates…
• GRNs have been shown to respond to only some, but not all, tastants from a basic taste category (Dahanukar et al., 2007; Weiss et al., 2011; Miyamoto et al., 2012; Caicedo and Roper, 2001; Caicedo et al., 2002).
• GRNs have been shown to respond to some, but not all, tastants from multiple categories (Wisotsky et al., 2011; Charlu et al., 2013; Jeong et al., 2013; Masek and Keene, 2013, Caicedo et al., 2002; Nelson et al., 2002; Oka et al., 2013).
Informative spike timing in gustatory neurons…
• The timing of spikes has been shown to contain information about tastants in neurons at several stages along the gustatory pathway (Katz et al., 2001; Hallock and DiLorenzo, 2006; Lemon and Katz,2007; Fontanini et al., 2009; Rosen et al., 2011; Wilson et al., 2012).
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Let’s change the way we think about taste:
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Let’s change the way we think about taste:
• Lots and lots of tastes, not just four
• A different neural coding mechanism
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SamReiter
NIH-Brown-GPPPhD 2014
ChelseyCampillo
RodriguezHigh school intern
KuiSun
technician
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Sam’s thesis committee:
Gilad BarneaLeonardo BelluscioDavid BersonChi-Hon LeeChris McBainDmitry Rinberg
Tastant delivery system: George DoldTom Talbot
Light microscopy: Vincent Shram
Scanning electron microscopy: Pat ZerfasChris Brantner
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GRN 1 GRN 2 GRN 3
As tastant concentration increases, more types of GRNs respond, and more strongly
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Spike-triggeredaverage
GRN→followerconnectivity
and integration
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Sharp-electrode intracellular: second order neurons
Temporal patterningIn SONs
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GRNsGustatoryReceptor Neurons
Sharp-electrode intracellular recordings
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Encoding Tastant Identity
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Encoding Tastant Identity
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• There is no single clear, useful definition of a basic taste.
• Many GRNs respond to chemicals not readily associated with anyof the basic tastes
• water (Cameron et al., 2010)• fatty acids (Cartoni et al., 2010; Masek and Keene, 2013)• carbon dioxide (Fischler et al., 2007)• contact pheromones (Lacaille et al., 2007).
• It does not provide the best description of the data.
• Sometimes sets limitations for experiments
What’s wrong with the basic taste framework?
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What’s wrong with the basic taste framework?
• There is no single clear, useful definition of a basic taste.
• Many GRNs respond to chemicals not readily associated with any of the basic tastes
• water (Cameron et al., 2010)• fatty acids (Cartoni et al., 2010; Masek and Keene, 2013)• carbon dioxide (Fischler et al., 2007)• contact pheromones (Lacaille et al., 2007).
• It does not provide the best description of the data.
• Sometimes sets limitations for experiments
An “individual taste framework”
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Pfaffmann, Frank, and Norgren, 1979
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Gustatory Projection Neurons: Ascending
N=5
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descending ascending
Projection Neurons
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Gustatory Projection Neurons: Ascending
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Gustatory Projection Neurons: Ascending
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Gustatory Projection Neurons: Ascending
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N=5
Gustatory Projection Neurons: Ascending
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Gustatory Projection Neurons: Descending
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Gustatory Projection Neurons: Descending
dPN1 dPN2 dPN3 dPN4
N=30
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Olfactory SystemAntennal lobe
neurons tend to synchronize
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Tastant-elicited oscillations
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Tastant-elicited oscillations
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GRN 1 GRN 2 GRN 3
As tastant concentration increases, more types of GRNs respond, and more strongly
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The predominant view
“… tastant quality is mediated by labeled lines, whereby distinct and strictly segregated populations of taste receptor cells encode each of the taste qualities.”
Common sense about taste: from mammals to insects. Yarmolinsky, Zuker, & Ryba,
Cell 139(2):234-44. (2009)
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Receptor Neuron
Gustatory Receptor Neurons
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Gustatory Local Neurons
Receptor Neuron
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Gustatory Local Neurons
Receptor Neuron
Interneuron