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Searching for Collective Behavior in a Large Network of Sensory Neurons
2014
PLoS Computational Biology
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Maximum entropy models are the least structured probability distributions that exactly reproduce a chosen set of statistics measured in an interacting network. ...
Already in groups as small as 10 neurons, interactions between spikes can no longer be regarded as small perturbations in an otherwise independent system; for 40 or more neurons pairwise interactions need ...
Acknowledgments We thank A Cavagna, I Giardina, T Mora, SE Palmer, GJ Stephens, and A Walczak for many helpful discussions.
Author Contributions ...
doi:10.1371/journal.pcbi.1003408
pmid:24391485
pmcid:PMC3879139
fatcat:wubikppk2re7rezzde6s44mhqq
Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans
2015
Neuron
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Lau for helpful comments on the manuscript and other members of the Chalasani laboratory for critical help, advice, and insights. This work was funded by grants from The ...
Komuniecki for strains and constructs; O. Hobert and N. Flames for cell-specific promoters; C. Stevens for helpful discussions; and J. Simon for illustrations. We are also grateful to L. Hale, B. ...
A Subset of Sensory Neurons, ASI and ASK Are Specialized for Evaluating Patch Variability Previous studies identified three pairs of sensory neurons (ASI, ASK, and AWC) that drive local search behavior ...
doi:10.1016/j.neuron.2015.03.026
pmid:25864633
pmcid:PMC4409562
fatcat:57umfzo6urgtngxsedd6y3d55e
Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers
[chapter]
2010
Computational Intelligence in Optimization
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In this chapter, we incorporate the Artificial Neural Tissue (ANT) approach for robot control from previous work with a novel Sensory Coarse Coding (SCC) model. ...
This model is able to exploit regularity in the sensor data of the environment. Determining how the sensor suite of a robot should be configured and utilized is critical for the robots operation. ...
Each output neuron commands one behavior of the agent. (In the case of a robot, a typical behavior may be to move forward a given distance. ...
doi:10.1007/978-3-642-12775-5_16
fatcat:s4qt7t5wcbfppng76pcdr6xegy
Functional Specialization in the Attention Network
2019
Annual Review of Psychology
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Spatial attention is comprised of neural mechanisms that boost sensory processing at a behaviorally relevant location while filtering out competing information. ...
The present review examines functional specialization in the network of brain regions that directs such preferential processing. ...
Both stimulus properties and behavioral goals drive the dynamic allocation of spatial attention across different locations in the visual scene, for example, when searching for a behaviorally relevant target ...
doi:10.1146/annurev-psych-010418-103429
pmid:31514578
pmcid:PMC7026883
fatcat:begezzowafcndjpy3y3j5mrr7q
Editorial overview: Neurobiology of cognitive behavior: Complexity of neural computation and cognition
2016
Current Opinion in Neurobiology
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or a few sensory neurons than one would expect. ...
The classical approach to understanding the neural basis of cognition has relied on recording neural activity in animals performing well-controlled behavioral tasks, and searching for single neuron correlates ...
or a few sensory neurons than one would expect. ...
doi:10.1016/j.conb.2016.03.003
pmid:26987704
pmcid:PMC5924697
fatcat:zwvtuzyoerdjviyn63llemuz2e
Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots
[article]
2015
arXiv
pre-print
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adaptive forward models with efference copies as internal models for sensory predictions and instantaneous state estimations, and 3) searching and elevation control for adapting the movement of an individual ...
Such predictions or planning ahead can be achieved by way of in- ternal models that are grounded in the overall behavior of the animal. ...
The dashed frame shows a zoomed in view of a single reservoir neuron. In this setup, the input to each of the reservoir network comes from the CTr-joint of the respective leg. ...
arXiv:1506.03599v1
fatcat:qvlxofjmcve6fmjlh7ufg7zirq
Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots
2015
Frontiers in Neurorobotics
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Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots ...
Acknowledgments This research was supported by the Emmy Noether Program (DFG, MA4464/3-1), the Federal Ministry of Education and Research (BMBF) by a grant to the Bernstein Center for Computational Neuroscience ...
II Göttingen (01GQ1005A, project D1) and the International Max Planck Research School for Physics of Biological and Complex Systems scholarship. ...
doi:10.3389/fnbot.2015.00010
pmid:26441629
pmcid:PMC4585172
fatcat:xl3qeuxywra6znkzls3x32kwya
Sensory-Motor Circuits: Hox Genes Get in Touch
2015
Neuron
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The majority of the 39 vertebrate Hox genes are expressed in a large variety of sensory, motor, and interneuron classes. ...
The diversity of animal behaviors relies on the ability of neurons to establish selective synaptic connections with target cells and integrate into functionally distinct networks. ...
This function appears to be mediated by the nucleus accumbens shell (NAcSh), which is a ventral part of the striatum that has been referred to as a ''sensory sentinel'' for consummatory behavior (Kelley ...
doi:10.1016/j.neuron.2015.10.035
pmid:26539884
fatcat:jzxjdjs4lncyljq66bwuwdeeqm
Searching for simplicity in the analysis of neurons and behavior
2011
Proceedings of the National Academy of Sciences of the United States of America
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behavior of C. elegans to the control of smooth pursuit eye movements in primates, and from the coding of natural scenes by networks of neurons in the retina to the rules of English spelling. ...
Traditionally, simplification has been imposed by training animals to engage in a limited set of behaviors, by hand scoring behaviors into discrete classes, or by limiting the sensory experience of the ...
Tka cik, and A. Walczak. This work was supported in part by grants from the National Science Foundation, the National Institutes of Health, and the Swartz Foundation. ...
doi:10.1073/pnas.1010868108
pmid:21383186
pmcid:PMC3176616
fatcat:xub4gur3rrh6toouchlgfz64fy
Beyond Control: The Dynamics of Brain-Body-Environment Interaction in Motor Systems
[chapter]
2009
Advances in Experimental Medicine and Biology
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constraints structure the fitness space for this task, and examine the impact of network architecture. ...
This chapter reviews a line of work aimed at exploring this perspective in a simple model of walking. ...
, Jeff Ames and Chad Seys for their many contributions to the work described in this chapter. ...
doi:10.1007/978-0-387-77064-2_2
pmid:19227493
fatcat:44gdapbarvefvanp5h5uavnenu
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
2008
2008 10th International Conference on Control, Automation, Robotics and Vision
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We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat behavior totally determined ...
The target behavior is simple, but the learning task is challenging because of the dynamic complexity of fully-recurrent neural networks. ...
The animat behavior is defined by a fully recurrent neural network with 5 sensory inputs, and a total of N fullyconnected neurons among which 4 are motor outputs, as illustrated on figure 1. ...
doi:10.1109/icarcv.2008.4795790
dblp:conf/icarcv/Moutarde08
fatcat:dxvrycvcobaxtmezpf6c6uozbu
Evolving neural networks
2007
Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07
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How Can We Search in Large Spaces? ...
neurons to cooperate in networks 1,45,51
• E.g. ...
doi:10.1145/1274000.1274119
dblp:conf/gecco/Miikkulainen07
fatcat:4zyvbu3dxjb4hjqqicvwwzvjna
Winnerless competition between sensory neurons generates chaos: A possible mechanism for molluscan hunting behavior
2002
Chaos
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Department of Energy Grant No. DE-FG03-96ER14592. ...
ACKNOWLEDGMENTS We thank Ramón Huerta, Rafael Levi, and Henry Abarbanel for many useful discussions about the model. Support for this work came from NIH Grant No. 2R01 NS38022-05A1. ...
An important role in the organization of hunting behavior is played by a pair of large neurons located in the cerebral ganglia, the cerebral hunting neurons ͑CHNs͒. 5, 6 The CHNs control the activity ...
doi:10.1063/1.1498155
pmid:12779595
fatcat:gih6ejfvkjaz3f5mdgjcyjkmo4
Connecting a Connectome to Behavior: An Ensemble of Neuroanatomical Models of C. elegans Klinotaxis
2013
PLoS Computational Biology
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We identify a minimal klinotaxis circuit by systematically searching the C. elegans connectome for pathways linking chemosensory neurons to neck motor neurons, and prune the resulting network based on ...
We then use an evolutionary algorithm to find possible values for the unknown electrophsyiological parameters in the network such that the behavioral performance of the entire model is optimized to match ...
Acknowledgments We are grateful to Colin Allen, Shawn Lockery, and Kathryn McCormick for their feedback on earlier drafts of this paper. ...
doi:10.1371/journal.pcbi.1002890
pmid:23408877
pmcid:PMC3567170
fatcat:xsvu3yddnnevxfb55amwj6dsxq
The whole worm: brain–body–environment models of C. elegans
2016
Current Opinion in Neurobiology
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Portegys TE: Training sensory-motor behavior in the connectome of an artificial C. elegans. ...
The network is trained to produced sinusoidal patterns in the ventral cord motor neurons when a touch sensor is stimulated. 31. ...
Acknowledgement The preparation of this review was supported in part by NSF grants IIC-1216739 and IIS-1524647. ...
doi:10.1016/j.conb.2016.06.005
pmid:27336738
fatcat:dfrk4gnspfg5hnruuol5yc7xgy
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