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The 8th annual computational and systems neuroscience (Cosyne) meeting.

Histed MH, Pillow JW - Neural Syst Circuits (2011)

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Affiliation: Department of Neurobiology, Harvard Medical School, Boston, USA. mark_histed@hms.harvard.edu.

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Cosyne brings together experimental and theoretical approaches to systems neuroscience, with the goal of understanding neurons, neural assemblies, and the perceptual, cognitive and behavioral functions they mediate... The interaction of excitatory and inhibitory influences has implications for many neural circuits, and a diverse set of theoretical studies explored the implications of the 'balanced' state for computation and information transmission... We have made an effort to sample broadly, but Cosyne appeals to a large audience across several disciplines, and we are limited by space and a residual slant towards our own interests and interactions at the meeting... We apologize to those presenters whose contributions we do not have space to mention, but we are excited about the broad extent of new work we observed... Tirin Moore (Stanford) described new work linking the dopamine circuits of the frontal cortex of the macaque both to activity of visual neurons and to behavioral responses... Alison Barth (Carnegie-Mellon) discussed a series of studies on subsets of highly-active neurons in the mouse cerebral cortex and how they might affect the computations performed there... Rubén Moreno-Bote and A... Pouget (Rochester) used an analysis of spiking neural networks to argue that decorrelation does not affect the amount of information available to downstream populations, thus calling into question a central dogma of population coding... Ian Ellwood and V... Sohal (UCSF) used both experiments and models to show how dopaminergic inputs can strongly modulate cells' firing through intertwined effects on calcium, potassium, and sodium channels... Trachtenberg (UCLA) showed that mouse visual inhibitory neurons acquire broader visual tuning during development, though excitatory neurons sharpen their tuning as a result of activity... Kaufman and K... Shenoy presented 'jPCA', a method for reducing the dimension of large neural datasets by looking for rotational or oscillatory dynamics... JWP has collaborated with E.J... Chichilnisky.

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Word cloud of abstract keywords at Cosyne 2011. In this diagram, word size reflects rate of incidence of the word in this year's abstracts. (Created by Eero Simoncelli, NYU, using the software at http://wordle.net)
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Figure 1: Word cloud of abstract keywords at Cosyne 2011. In this diagram, word size reflects rate of incidence of the word in this year's abstracts. (Created by Eero Simoncelli, NYU, using the software at http://wordle.net)

Mentions: We observed a few major emerging themes. The focus on neural circuits is clear; many investigators are using detailed knowledge of anatomy, including cell identity and network connectivity, to understand neural activity and function. Several model systems for studying circuits received major focus, including the fly, zebrafish, rat, and mouse. An important strength of these systems is the ability to manipulate circuits genetically, and studies with genetic components generated significant enthusiasm. A principal question remains how neural activity relates to behavior, with the number of studies in the above model systems increasing, alongside continued behavioral work in humans and non-human primates. Functional coupling between neurons is a key topic of interest; many presentations addressed methods and theories for understanding the impact of coupling on computation and network function, and we predict these efforts will only grow in future years. Questions of coupling in time, such as oscillatory activity, continued to attract considerable attention. The interaction of excitatory and inhibitory influences has implications for many neural circuits, and a diverse set of theoretical studies explored the implications of the 'balanced' state for computation and information transmission. Comparatively little experimental data on inhibitory and excitatory interactions exists and we predict there will be an upswing of experiments studying these dynamics in the next few years. Bayesian statistical theories continued to play a major role, both as methods for analyzing neural data and as theories for optimal information processing in perceptual and motor tasks. Finally, sensory systems have historically been strongly represented in systems and computational neuroscience. While this continued, there was broadening interest in motor systems and the representations and computations underlying movement. The topics covered by submitted abstracts were summarized nicely in a single slide (Figure 1) presented by Anne Churchland (Cold Spring Harbor), co-chair of the organizing committee.


The 8th annual computational and systems neuroscience (Cosyne) meeting.

Histed MH, Pillow JW - Neural Syst Circuits (2011)

Word cloud of abstract keywords at Cosyne 2011. In this diagram, word size reflects rate of incidence of the word in this year's abstracts. (Created by Eero Simoncelli, NYU, using the software at http://wordle.net)
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3278388&req=5

Figure 1: Word cloud of abstract keywords at Cosyne 2011. In this diagram, word size reflects rate of incidence of the word in this year's abstracts. (Created by Eero Simoncelli, NYU, using the software at http://wordle.net)
Mentions: We observed a few major emerging themes. The focus on neural circuits is clear; many investigators are using detailed knowledge of anatomy, including cell identity and network connectivity, to understand neural activity and function. Several model systems for studying circuits received major focus, including the fly, zebrafish, rat, and mouse. An important strength of these systems is the ability to manipulate circuits genetically, and studies with genetic components generated significant enthusiasm. A principal question remains how neural activity relates to behavior, with the number of studies in the above model systems increasing, alongside continued behavioral work in humans and non-human primates. Functional coupling between neurons is a key topic of interest; many presentations addressed methods and theories for understanding the impact of coupling on computation and network function, and we predict these efforts will only grow in future years. Questions of coupling in time, such as oscillatory activity, continued to attract considerable attention. The interaction of excitatory and inhibitory influences has implications for many neural circuits, and a diverse set of theoretical studies explored the implications of the 'balanced' state for computation and information transmission. Comparatively little experimental data on inhibitory and excitatory interactions exists and we predict there will be an upswing of experiments studying these dynamics in the next few years. Bayesian statistical theories continued to play a major role, both as methods for analyzing neural data and as theories for optimal information processing in perceptual and motor tasks. Finally, sensory systems have historically been strongly represented in systems and computational neuroscience. While this continued, there was broadening interest in motor systems and the representations and computations underlying movement. The topics covered by submitted abstracts were summarized nicely in a single slide (Figure 1) presented by Anne Churchland (Cold Spring Harbor), co-chair of the organizing committee.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Neurobiology, Harvard Medical School, Boston, USA. mark_histed@hms.harvard.edu.

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

Cosyne brings together experimental and theoretical approaches to systems neuroscience, with the goal of understanding neurons, neural assemblies, and the perceptual, cognitive and behavioral functions they mediate... The interaction of excitatory and inhibitory influences has implications for many neural circuits, and a diverse set of theoretical studies explored the implications of the 'balanced' state for computation and information transmission... We have made an effort to sample broadly, but Cosyne appeals to a large audience across several disciplines, and we are limited by space and a residual slant towards our own interests and interactions at the meeting... We apologize to those presenters whose contributions we do not have space to mention, but we are excited about the broad extent of new work we observed... Tirin Moore (Stanford) described new work linking the dopamine circuits of the frontal cortex of the macaque both to activity of visual neurons and to behavioral responses... Alison Barth (Carnegie-Mellon) discussed a series of studies on subsets of highly-active neurons in the mouse cerebral cortex and how they might affect the computations performed there... Rubén Moreno-Bote and A... Pouget (Rochester) used an analysis of spiking neural networks to argue that decorrelation does not affect the amount of information available to downstream populations, thus calling into question a central dogma of population coding... Ian Ellwood and V... Sohal (UCSF) used both experiments and models to show how dopaminergic inputs can strongly modulate cells' firing through intertwined effects on calcium, potassium, and sodium channels... Trachtenberg (UCLA) showed that mouse visual inhibitory neurons acquire broader visual tuning during development, though excitatory neurons sharpen their tuning as a result of activity... Kaufman and K... Shenoy presented 'jPCA', a method for reducing the dimension of large neural datasets by looking for rotational or oscillatory dynamics... JWP has collaborated with E.J... Chichilnisky.

No MeSH data available.